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Experience Level
Senior
About the job
Founded in 2007, Airbnb has transformed the way people experience travel, connecting over 5 million hosts with more than 2 billion guests worldwide. Our platform enables unique stays and authentic experiences, fostering connections with local communities.
The Team You Will Join:
As a pivotal member of the Data Warehouse Infrastructure team, you will help shape the backbone of Airbnb's big data capabilities, enabling hundreds of engineers to efficiently collect, manage, and analyze vast amounts of data. We leverage cutting-edge open-source technologies such as Hadoop, Spark, Trino, Iceberg, and Airflow.
Typical Responsibilities:
Design and architect Airbnb's next-generation big data compute platform to enhance data ETL, analytics, and machine learning efforts.
Oversee the platform's operations, focusing on improving reliability, performance, observability, and cost-effectiveness.
Create high-quality, maintainable, and self-documenting code while engaging actively in code review processes.
Contribute to open-source projects, making a significant impact on the industry.
Founded in 2007, Airbnb has transformed the way people experience travel, connecting over 5 million hosts with more than 2 billion guests worldwide. Our platform enables unique stays and authentic experiences, fostering connections with local communities.The Team You Will Join:As a pivotal member of the Data Warehouse Infrastructure team, you will help shape…
Join Cloudflare as a Software Engineer specializing in Distributed Systems and Infrastructure. In this role, you will be responsible for designing, implementing, and optimizing scalable systems that enhance the performance and reliability of our services. You will collaborate closely with cross-functional teams to develop innovative solutions that support our mission to help build a better Internet.
Full-time|$162K/yr - $216K/yr|Hybrid|San Francisco, California, United States
Who We AreBaton is Ryder’s innovative product development division dedicated to leveraging cutting-edge technologies to transform the transportation and logistics landscape. Managing over $10 billion in freight, our technology has a significant impact across the U.S. economy.We are committed to creating and delivering software that not only meets but exceeds the needs of Ryder and its 50,000+ clients, which includes some of the most recognized brands globally. Our projects range from user-centric applications to the robust data platform that will drive the future of Ryder’s innovations.Baton’s mission: To enable a supply chain that operates on autopilot.Since Ryder’s acquisition of Baton in 2022, we have been operating with the agility of a startup while benefiting from the extensive reach of a Fortune 500 company. If you're passionate about tackling intricate challenges and making a real impact in the backbone of the American economy, you’ll thrive with us.Role: Software Engineer - InfrastructureDepartment: Data PlatformLocation: Hayes Valley, San Francisco, CA
Full-time|$166K/yr - $225K/yr|On-site|San Francisco, California
P-78 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging problems—from realizing the next mode of transportation to advancing medical breakthroughs. We accomplish this by creating and managing the premier data and AI infrastructure platform, enabling customers to leverage deep data insights for business enhancement. Founded by engineers and with a strong customer focus, we eagerly embrace every opportunity to address technical challenges, from crafting cutting-edge UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And this is just the beginning. As a Senior Software Engineer on the Infrastructure teams, you will develop scalable systems that underpin the Databricks platform, positioning it as the go-to solution for executing Big Data and AI workloads. Your role will involve enhancing the Databricks infrastructure platform, encompassing multi-cloud systems and services designed to manage thousands of Kubernetes clusters at scale, storing petabytes of data, providing highly scalable and distributed API gateways, implementing a rate limiting framework, ensuring network security and encryption, and creating developer tools and infrastructure (we utilize Bazel), testing frameworks, and scalable CI/CD systems, among many other responsibilities. The impact you will have: Expand and enhance key components of the core Databricks infrastructure. Design multi-cloud systems and abstractions to enable the Databricks product to operate across existing Cloud providers. Enhance software development workflows to improve engineering and operational efficiency. Utilize our own data and AI platform to analyze build and test logs and metrics, identifying areas for enhancement. Create automated build, test, and release infrastructures. Establish and maintain engineering process standards to support our growth and success.
Full-time|$196K/yr - $220.5K/yr|On-site|San Francisco Bay Area
At Discord, we connect over 200 million users monthly for diverse experiences, with gaming being the predominant activity. Our platform supports more than 90% of our users in enjoying games, collectively logging 1.5 billion hours each month across various titles. As we shape the future of gaming, our mission is to enhance interactions before, during, and after gaming sessions.The Platform Infrastructure teams are pivotal in constructing and upholding the essential systems that energize Discord's core functionalities. We manage systems that process hundreds of thousands of requests per second and handle tens of billions of transactions daily, enabling seamless connections for millions of users. By developing foundational platform components, we empower internal developers to deploy new features swiftly and securely, ensuring Discord remains reliable, efficient, and scalable.As a Senior Software Engineer on our team, you will play a crucial role in continuously refining our codebase, processes, and infrastructure, directly impacting user interactions on Discord!
At Greptile, we are on a mission to develop intelligent agents that autonomously verify code modifications. Our current focus involves utilizing AI to analyze pull requests on GitHub, effectively identifying bugs and enforcing coding standards. With our technology, we review nearly 1 billion lines of code each month for over 3,000 companies.Challenges We Are Excited To TackleDeveloping agents that can learn coding standards through experience, similar to how new hires adapt.Determining customer-specific preferences for pull request feedback using sample-efficient reinforcement learning to enhance signal-to-noise ratios.Implementing automated deployments of feature branches and leveraging agents to stress-test the application for bug detection.Our Growth TrajectoryServing over 7,000 customers.Successfully raised $30 million from prominent investors including Benchmark, Y Combinator, Paul Graham, and Initialized.Our TeamWe have curated a highly skilled team that has successfully scaled vital functions at leading companies such as Stripe, Google, Figma, and others.Key ResponsibilitiesDesign and implement resilient infrastructure to accommodate Greptile's expanding user base.Collaborate with our largest enterprise clients to facilitate the deployment of Greptile within their environments.Streamline the on-premise deployment process to support smaller clients with minimal hands-on intervention.
Full-time|$200K/yr - $275K/yr|On-site|San Francisco
About Watney RoboticsAt Watney Robotics, we are pioneers in developing autonomous robotic solutions aimed at enhancing critical infrastructure. Recently securing $21 million in seed funding from leading investors such as Conviction, Abstract, and A*, we are collaborating with the world’s largest hyperscalers to propel the expansion of data centers and streamline maintenance processes.This is an extraordinary opportunity to join our team at a pivotal stage as we transition from prototype to large-scale production. Be part of a team that not only ships cutting-edge systems but also plays a crucial role in shaping the operational framework of an innovative robotics company.
About SesameAt Sesame, we envision a world where computers can interact with us in authentic, lifelike ways—seeing, hearing, and collaborating as humans do. Our mission is to create an innovative computer interface that seamlessly integrates voice agents into everyday life. Our diverse team comprises founders from Oculus and Ubiquity6 and seasoned professionals from Meta, Google, and Apple, each bringing extensive expertise in hardware and software. Join us in pioneering a future where technology feels alive.About the RoleAs a Backend Infrastructure Engineer at Sesame, you will play a pivotal role in shaping the foundational aspects of our technology stack. This position focuses on developing high-impact infrastructure, services, and tools that are broad-reaching rather than narrowly defined. You will tackle scalability and architectural challenges across various domains, including agentic workflows, speech recognition and synthesis, IoT, large-scale training, and efficient low-latency inference. If you're driven by the challenge of creating an ultra-efficient, scalable, and reliable engineering ecosystem through a blend of tooling, services, libraries, and infrastructure, this is the perfect opportunity for you.Responsibilities:Design and develop foundational infrastructure to support serving, training, and applications at Sesame.Enhance productivity for engineering teams by automating processes and creating exceptional tools.Deliver software solutions that empower product and machine learning engineers to build secure, scalable, and dependable systems from the ground up.Your responsibilities will encompass provider, service, security, and developer infrastructure, as well as the architecture and implementation of core services and libraries.
Who are we?At Cohere, our mission is to elevate intelligence to benefit humanity. We specialize in training and deploying cutting-edge models for developers and enterprises focused on creating AI systems that deliver extraordinary experiences such as content generation, semantic search, retrieval-augmented generation, and intelligent agents. We view our work as pivotal to the broad acceptance of AI technologies.We are passionate about our creations. Every team member plays a vital role in enhancing our models' capabilities and the value they provide to our customers. We thrive on hard work and speed, always prioritizing our clients' needs.Cohere is a diverse team of researchers, engineers, designers, and more, all dedicated to their craft. Each individual is a leading expert in their field, and we recognize that a variety of perspectives is essential to developing exceptional products.Join us in our mission and help shape the future of AI!Why this role?Are you excited about architecting high-performance, scalable, and reliable machine learning systems? Do you aspire to shape and construct the next generation of AI platforms that enhance advanced NLP applications? We are seeking talented Members of Technical Staff to join our Model Serving team at Cohere. This team is responsible for the development, deployment, and operation of our AI platform, which delivers Cohere's large language models via user-friendly API endpoints. In this role, you will collaborate with multiple teams to deploy optimized NLP models in production settings characterized by low latency, high throughput, and robust availability. Additionally, you will have the opportunity to work directly with customers to create tailored deployments that fulfill their unique requirements.
About Flow EngineeringAt Flow Engineering, we are pioneering an AI-native requirements platform that empowers cutting-edge engineering teams to collaborate seamlessly with AI agents. Our mission is to facilitate the design, validation, and evolution of complex systems with unmatched speed and precision. Following our successful Series A funding, we are on an exciting trajectory to scale our product from thousands to hundreds of thousands of users, all while upholding the highest standards of reliability and performance.About the RoleWe are seeking a passionate Infrastructure Software Engineer to join our dynamic team. In this role, you will be instrumental in constructing and expanding the core platform that underpins Flow. You will manage services and infrastructure that empower "agentic systems engineers" and product teams to leverage Flow in their daily tasks.You will become a key member of a small, senior team that prioritizes speed, ownership, and solid engineering principles—delivering version 1 products swiftly, learning, and iterating effectively.Your ResponsibilitiesDesign, develop, and maintain backend services and platform primitives that facilitate complex engineering workflows and large-scale collaboration.Enhance Flow’s capacity from thousands to hundreds of thousands of users, focusing on performance, reliability, observability, and security across the entire stack.Take ownership of CI/CD pipelines, testing infrastructure, and internal tools to enable rapid and safe product releases.Collaborate with frontend and AI engineers to establish robust APIs, data models, and integration points that are easy to adapt and evolve.Contribute to architectural decisions and the technical roadmap as our product and customer base expands.Your ProfileA minimum of 3 years of software engineering experience in building and maintaining production systems within a cloud environment (e.g., AWS or GCP).Deep understanding of systems design, distributed systems, and best practices for reliability, observability, and security.Proficiency with containerization and infrastructure-as-code tools (e.g., Docker, Terraform, etc.).Ability to take ownership of projects end-to-end in a fast-paced environment and make pragmatic decisions amidst ambiguity.A collaborative mindset with low ego, eager to work closely with product, design, and customer-facing teams.Our Technology StackUtilization of TypeScript, Node.js, and React for application development, with a strong emphasis on type safety.Employing Postgres and various managed cloud services for data persistence and messaging.
About Us:At Notion, we empower individuals and teams to create beautiful tools for their life’s work. In a landscape flooded with apps and tabs, we provide a unified platform that seamlessly integrates documents, notes, projects, calendars, and emails, enhanced by AI to streamline workflows and deliver insights. Our diverse user base, from solo entrepreneurs to industry giants like Toyota, Figma, and OpenAI, appreciates Notion's flexibility and efficiency, allowing them to save both time and resources.Collaboration is the heartbeat of Notion's culture. We ask all team members to work from our San Francisco office on Mondays, Tuesdays, and Thursdays—our designated Anchor Days. Depending on team needs, additional in-office days may be required.About the Product Infrastructure Team:The Product Infrastructure team is tasked with developing robust abstractions and data models that address persistent challenges across our technology stack. Our work spans multiple product interfaces, bridging both front-end and back-end development to unlock new avenues for product innovation.What You’ll Achieve:Architect and develop the foundational frameworks that facilitate data interactions within Notion, incorporating feedback from internal stakeholders and leveraging tools such as AWS, Postgres, NodeJS, TypeScript, and React on the frontend.Create innovative systems and abstractions that enhance developer efficiency, reliability, and performance by proactively addressing common challenges faced by product engineers.Tackle complex technical issues including designing efficient traversal mechanisms for user content graphs, developing systems for offline content synchronization, and expanding our permissions model to accommodate the needs of large clients with intricate content structures.Skills You’ll Need to Bring:Analytical problem-solving: You possess a keen ability to thoroughly assess contexts, deconstruct complex problems, and arrive at elegant solutions.Business acumen: You understand the importance of business impact and align project priorities accordingly, balancing quality, speed, and profitability.Commitment to simplicity: You critically evaluate the implications of your designs, striving for simplicity and elegance in your work.
About DecagonDecagon stands at the forefront of conversational AI technology, empowering brands to offer exceptional concierge-style customer experiences. Our innovative platform is trusted by industry leaders such as Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas, enabling them to deploy AI agents that facilitate personalized and engaging interactions across various channels including voice, chat, email, and SMS.We envision a future where customer interactions are transformed from mundane support tickets and waiting on hold to swift resolutions, meaningful dialogues, and enriched relationships. Our commitment to this vision is supported by esteemed investors like a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, among others.Based in San Francisco, we foster an in-office culture that prioritizes excellence and momentum. Our core values—Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle—guide our collaborative efforts and collective growth.About the TeamThe Agent Orchestration team is responsible for developing the fundamental execution layer that facilitates every agent interaction. Our systems are designed to orchestrate model reasoning, assess agent performance, and ensure consistent agent behavior in real-world customer scenarios.With a focus on accuracy, dependability, and speed, our work influences how Decagon agents strategize, decide, and implement actions during millions of interactions.About the RoleAs a Senior Software Engineer on the Agent Orchestration team, you will be pivotal in shaping the long-term architecture of Decagon’s agent platform. You will spearhead substantial, multi-quarter projects that define the functionality and scalability of our orchestration engine, enabling engineers across the organization to build effectively upon it.This position is ideal for individuals who excel in technical depth, possess the ability to influence cross-functional teams, and are passionate about developing robust, principled systems that endure. You will collaborate closely with teams in Research, Infrastructure, Product Engineering, and Agent Software Engineering to establish the standards and frameworks that uphold the reliability and intelligence of Decagon agents.In this role, you will:Take ownership of the architecture and ongoing evolution of Decagon's core execution engine for agents.Lead the design of systems that manage complex reasoning and action flows on a large scale.Enhance reliability, testing, and observability standards throughout the orchestration stack.
About NumeralNumeral is revolutionizing the automation framework for online commerce, beginning with the often tedious task of sales tax compliance. We take care of everything from registration to remittance, providing an exceptional service that allows e-commerce businesses to concentrate on their core mission: expanding their products, customer base, and teams.As one of the rapidly growing companies from Y Combinator’s Winter 2023 cohort, we are backed by prestigious investors such as Benchmark Capital. Our team boasts extensive experience from the pioneering days at Stripe, Airbnb, Notion, and other leading firms, and we are poised to bring that same level of expertise, speed, and ambition to an industry ripe for transformation.Numeral may be small, but our impact is significant. Our growth is already approaching unmanageable levels, meaning each new hire will play a crucial role in shaping our company’s future. If you’re eager to join as an early team member and desire the kind of ownership that can define your career, we would love to connect with you.MissionOperating an online business today often requires juggling numerous responsibilities, many of which are not why founders launched their ventures. Our mission is to alleviate the administrative and accounting pressures that divert businesses from their passions.We have already assisted hundreds of merchants in sidestepping the headache of establishing large finance teams solely to manage tax compliance. Looking ahead, we aim to broaden our positive impact by developing the automation layer that enables online businesses to remain agile, compliant, and prepared for the future.About the RoleWe are seeking a foundational Software Engineer (Infrastructure) who excels at tackling complex distributed systems challenges at scale. In this role, you will design and implement core infrastructure, enhance service reliability and observability, and guarantee the platform’s scalability as we accommodate growing transaction volumes and integrations.This is a pivotal role with high leverage: your contributions will shape the architecture and technical direction of our infrastructure platform, directly influencing our customers’ experience and the trajectory of the company.ResponsibilitiesDesign and develop highly scalable, secure, and reliable infrastructure to support critical APIs, services, and data pipelines.Lead infrastructure architecture decisions focusing on performance, observability, and fault tolerance.
Join Decagon as a Senior Software Engineer specializing in Machine Learning Infrastructure. In this pivotal role, you will be responsible for designing and optimizing systems that support machine learning models and applications. Your expertise will help drive innovation and efficiency in our ML pipelines, ensuring that our algorithms are fast, scalable, and reliable.You'll collaborate with cross-functional teams to implement cutting-edge solutions that enhance our product offerings. If you are passionate about advancing machine learning technologies and thrive in a dynamic environment, we want to hear from you!
Full-time|$160K/yr - $250K/yr|On-site|San Francisco, CA
Join the Fluidstack TeamAt Fluidstack, we are revolutionizing the infrastructure that empowers artificial intelligence. Our collaborations with leading AI labs, government entities, and major enterprises like Mistral, Poolside, Black Forest Labs, and Meta enable us to deliver computational power at unprecedented speeds.Our mission is to turn artificial general intelligence (AGI) into reality. We pride ourselves on our commitment to excellence and our focus on creating a world-class infrastructure. Our dedication to our customers’ success drives us to build exceptional systems that foster trust and efficiency. If you are passionate about making a difference, striving for excellence, and ready to work diligently to shape the future of intelligence, we invite you to join our innovative team.Your RoleWe are seeking a Software Engineer to play a pivotal role in developing the technological backbone of Fluidstack's talent acquisition and human resource operations. This position focuses on the complete talent lifecycle, where you'll be responsible for designing, developing, and implementing internal tools and integrations that enhance the efficiency of our recruiters, empower hiring managers with data-driven insights, and accelerate the onboarding process for new hires. You'll work closely with ATS and HRIS platforms, as well as the broader HR tech ecosystem, and leverage AI tools to create tailored solutions when existing tools fall short. Given the rapid pace and scale of our hiring, this role is crucial for fostering our growth.Key ResponsibilitiesLead the talent tooling roadmap: Collaborate with Recruitment and People Operations to define scope, design, implement, and deploy solutions.Develop and sustain integrations: Connect with tools like Ashby and Rippling, streamline data access, and minimize manual tasks.Create internal recruiting workflows: Design candidate pipeline dashboards, interview scheduling automation, offer letter generation, headcount planning views, and onboarding checklists.Enhance talent funnel analytics: Build dashboards to provide real-time insights into key metrics such as time-to-fill, offer acceptance rates, funnel conversion, and retention indicators.Automate HR processes: Simplify onboarding, e-signature routing, and data synchronization across ATS, HRIS, and IT systems.Implement AI-driven recruiting features: Develop intelligent candidate matching, automated scorecard summaries, job description drafting tools, and sourcing enhancement pipelines.
About the Role OpenAI is hiring a Software Engineer to work on Infrastructure for Consumer Devices in San Francisco. This position centers on building scalable systems that support and improve the experience of users interacting with AI-powered devices. What You Will Do Design and develop infrastructure for consumer-facing devices Work on systems that directly impact how users interact with AI technology Apply technical expertise to create solutions that scale as usage grows
About the RoleHex Technologies is seeking experienced Senior and Staff-Level Fullstack Engineers who are passionate about contributing to our revolutionary Magic AI features.At Hex, we are dedicated to developing integrated AI functionalities that enhance and expedite analytics workflows. The potential here is extraordinary, and we are in a unique position to transform how individuals interpret and utilize data.In this position, you will spearhead the integration of AI-driven features into the Hex platform, collaborating closely with our Research Team for context and model prompting, as well as with other product engineering teams for seamless integration. Your efforts will significantly alter the data interaction experience for thousands of users, placing you at the forefront of one of the most exciting technological evolutions of our time. As a member of our Agent Platform Team, you will manage the scalable infrastructure that powers today's most advanced data agents and the innovative experimentation tools that enable rapid development of new AI features.
Transforming AI Through Self-ImprovementAt Letta, we are pioneering the development of self-improving artificial intelligence systems. Unlike traditional AI, which can be inflexible and limited, our agents are designed to learn continuously from their experiences and adapt accordingly.Founded by the innovators behind MemGPT at UC Berkeley’s Sky Computing Lab—the home of industry-changing technologies like Spark and Ray—Letta is supported by prominent figures in AI infrastructure, including Jeff Dean and Clem Delangue. Our agents are already making a difference in production environments for esteemed companies such as 11x and Bilt Rewards, evolving and enhancing their capabilities daily.We are forming a top-tier team of researchers and engineers to tackle AI's most significant challenge: creating machines that can reason, remember, and learn as humans do.Note: This position requires in-person attendance in our downtown San Francisco office, five days a week.
About LightfieldLightfield is an innovative AI-driven CRM that seamlessly integrates your email, calendar, and meetings into an organized platform. It captures every interaction and transforms it into actionable insights, tasks, accounts, and follow-ups, ensuring that nothing is overlooked.We are revolutionizing the CRM landscape from the ground up. Rather than imposing rigid structures on teams, Lightfield adapts to how businesses naturally operate, automating processes and highlighting insights that foster growth. We are crafting the CRM platform of our dreams: fast, intelligent, and genuinely beneficial.Supported by esteemed investors like Greylock, Lightspeed, and Coatue, our team has a rich history of building impactful products, including Tome, a generative AI presentation tool embraced by over 25 million users. Our collective experience spans companies such as Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are in search of a skilled, innovative, and adaptable engineer excited to take on the challenge of designing, developing, and scaling the foundational infrastructure and systems that power Lightfield's AI-enhanced CRM.At Lightfield, engineers take full ownership of projects from ideation to execution, collaborating across various functions and pushing the boundaries of what is achievable in applied AI and data systems. You will play a pivotal role in crafting and constructing the data models and infrastructure that support a next-generation CRM, ensuring optimal performance, scalability, and resilience.What You'll DoDevelop and sustain full-stack systems, ensuring reliability, scalability, and robust performance.Architect and enhance the data infrastructure and backend services that drive Lightfield's AI-powered CRM.Design and refine data models to facilitate CRM workflows, customer interactions, and AI-derived insights.Create observability and metrics frameworks to promote seamless operations, proactive issue detection, and ongoing enhancements.Guide colleagues, engage in code reviews, and contribute to shaping the engineering culture and best practices.Play a key role in cultivating a top-tier engineering team through recruitment, mentorship, and knowledge exchange.Who You ArePossess 3+ years of software development experience, with a solid foundation in infrastructure, data modeling, and backend systems.Demonstrate extensive experience in designing scalable, high-performance systems.
Full-time|On-site|San Francisco, California, United States
Rockstar is on the hunt for a talented Backend Software Engineer to join a rapidly expanding startup that is pioneering the AI infrastructure for the next generation of smart products. This innovative company specializes in providing AI startups with the tools to design, fine-tune, evaluate, deploy, and maintain their specialized models across various domains like text, vision, and embeddings. Think of them as the 'AWS for AI models'—offering a comprehensive backend solution for fine-tuning, reinforcement learning, inference, and ongoing model maintenance. Their clientele includes Series A to C AI companies that are developing enterprise-grade products, with a simple promise: to enhance your AI systems.As a Backend Software Engineer focusing on ML Infrastructure, you will play a pivotal role in designing, building, and scaling the essential systems that facilitate extensive model training and deployment.Your responsibilities will include developing distributed training pipelines, establishing cloud-native infrastructure, and creating internal developer platforms that support fine-tuning, reinforcement learning, and inference at scale. This position uniquely combines backend engineering with machine learning systems, allowing you to work closely with ML engineers while taking ownership of production-grade infrastructure.This role is a fantastic opportunity for an early-career engineer eager to dive into real distributed systems, GPU workloads, and cutting-edge ML infrastructure—far removed from simple dashboards or CRUD applications.
Founded in 2007, Airbnb has transformed the way people experience travel, connecting over 5 million hosts with more than 2 billion guests worldwide. Our platform enables unique stays and authentic experiences, fostering connections with local communities.The Team You Will Join:As a pivotal member of the Data Warehouse Infrastructure team, you will help shape…
Join Cloudflare as a Software Engineer specializing in Distributed Systems and Infrastructure. In this role, you will be responsible for designing, implementing, and optimizing scalable systems that enhance the performance and reliability of our services. You will collaborate closely with cross-functional teams to develop innovative solutions that support our mission to help build a better Internet.
Full-time|$162K/yr - $216K/yr|Hybrid|San Francisco, California, United States
Who We AreBaton is Ryder’s innovative product development division dedicated to leveraging cutting-edge technologies to transform the transportation and logistics landscape. Managing over $10 billion in freight, our technology has a significant impact across the U.S. economy.We are committed to creating and delivering software that not only meets but exceeds the needs of Ryder and its 50,000+ clients, which includes some of the most recognized brands globally. Our projects range from user-centric applications to the robust data platform that will drive the future of Ryder’s innovations.Baton’s mission: To enable a supply chain that operates on autopilot.Since Ryder’s acquisition of Baton in 2022, we have been operating with the agility of a startup while benefiting from the extensive reach of a Fortune 500 company. If you're passionate about tackling intricate challenges and making a real impact in the backbone of the American economy, you’ll thrive with us.Role: Software Engineer - InfrastructureDepartment: Data PlatformLocation: Hayes Valley, San Francisco, CA
Full-time|$166K/yr - $225K/yr|On-site|San Francisco, California
P-78 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging problems—from realizing the next mode of transportation to advancing medical breakthroughs. We accomplish this by creating and managing the premier data and AI infrastructure platform, enabling customers to leverage deep data insights for business enhancement. Founded by engineers and with a strong customer focus, we eagerly embrace every opportunity to address technical challenges, from crafting cutting-edge UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And this is just the beginning. As a Senior Software Engineer on the Infrastructure teams, you will develop scalable systems that underpin the Databricks platform, positioning it as the go-to solution for executing Big Data and AI workloads. Your role will involve enhancing the Databricks infrastructure platform, encompassing multi-cloud systems and services designed to manage thousands of Kubernetes clusters at scale, storing petabytes of data, providing highly scalable and distributed API gateways, implementing a rate limiting framework, ensuring network security and encryption, and creating developer tools and infrastructure (we utilize Bazel), testing frameworks, and scalable CI/CD systems, among many other responsibilities. The impact you will have: Expand and enhance key components of the core Databricks infrastructure. Design multi-cloud systems and abstractions to enable the Databricks product to operate across existing Cloud providers. Enhance software development workflows to improve engineering and operational efficiency. Utilize our own data and AI platform to analyze build and test logs and metrics, identifying areas for enhancement. Create automated build, test, and release infrastructures. Establish and maintain engineering process standards to support our growth and success.
Full-time|$196K/yr - $220.5K/yr|On-site|San Francisco Bay Area
At Discord, we connect over 200 million users monthly for diverse experiences, with gaming being the predominant activity. Our platform supports more than 90% of our users in enjoying games, collectively logging 1.5 billion hours each month across various titles. As we shape the future of gaming, our mission is to enhance interactions before, during, and after gaming sessions.The Platform Infrastructure teams are pivotal in constructing and upholding the essential systems that energize Discord's core functionalities. We manage systems that process hundreds of thousands of requests per second and handle tens of billions of transactions daily, enabling seamless connections for millions of users. By developing foundational platform components, we empower internal developers to deploy new features swiftly and securely, ensuring Discord remains reliable, efficient, and scalable.As a Senior Software Engineer on our team, you will play a crucial role in continuously refining our codebase, processes, and infrastructure, directly impacting user interactions on Discord!
At Greptile, we are on a mission to develop intelligent agents that autonomously verify code modifications. Our current focus involves utilizing AI to analyze pull requests on GitHub, effectively identifying bugs and enforcing coding standards. With our technology, we review nearly 1 billion lines of code each month for over 3,000 companies.Challenges We Are Excited To TackleDeveloping agents that can learn coding standards through experience, similar to how new hires adapt.Determining customer-specific preferences for pull request feedback using sample-efficient reinforcement learning to enhance signal-to-noise ratios.Implementing automated deployments of feature branches and leveraging agents to stress-test the application for bug detection.Our Growth TrajectoryServing over 7,000 customers.Successfully raised $30 million from prominent investors including Benchmark, Y Combinator, Paul Graham, and Initialized.Our TeamWe have curated a highly skilled team that has successfully scaled vital functions at leading companies such as Stripe, Google, Figma, and others.Key ResponsibilitiesDesign and implement resilient infrastructure to accommodate Greptile's expanding user base.Collaborate with our largest enterprise clients to facilitate the deployment of Greptile within their environments.Streamline the on-premise deployment process to support smaller clients with minimal hands-on intervention.
Full-time|$200K/yr - $275K/yr|On-site|San Francisco
About Watney RoboticsAt Watney Robotics, we are pioneers in developing autonomous robotic solutions aimed at enhancing critical infrastructure. Recently securing $21 million in seed funding from leading investors such as Conviction, Abstract, and A*, we are collaborating with the world’s largest hyperscalers to propel the expansion of data centers and streamline maintenance processes.This is an extraordinary opportunity to join our team at a pivotal stage as we transition from prototype to large-scale production. Be part of a team that not only ships cutting-edge systems but also plays a crucial role in shaping the operational framework of an innovative robotics company.
About SesameAt Sesame, we envision a world where computers can interact with us in authentic, lifelike ways—seeing, hearing, and collaborating as humans do. Our mission is to create an innovative computer interface that seamlessly integrates voice agents into everyday life. Our diverse team comprises founders from Oculus and Ubiquity6 and seasoned professionals from Meta, Google, and Apple, each bringing extensive expertise in hardware and software. Join us in pioneering a future where technology feels alive.About the RoleAs a Backend Infrastructure Engineer at Sesame, you will play a pivotal role in shaping the foundational aspects of our technology stack. This position focuses on developing high-impact infrastructure, services, and tools that are broad-reaching rather than narrowly defined. You will tackle scalability and architectural challenges across various domains, including agentic workflows, speech recognition and synthesis, IoT, large-scale training, and efficient low-latency inference. If you're driven by the challenge of creating an ultra-efficient, scalable, and reliable engineering ecosystem through a blend of tooling, services, libraries, and infrastructure, this is the perfect opportunity for you.Responsibilities:Design and develop foundational infrastructure to support serving, training, and applications at Sesame.Enhance productivity for engineering teams by automating processes and creating exceptional tools.Deliver software solutions that empower product and machine learning engineers to build secure, scalable, and dependable systems from the ground up.Your responsibilities will encompass provider, service, security, and developer infrastructure, as well as the architecture and implementation of core services and libraries.
Who are we?At Cohere, our mission is to elevate intelligence to benefit humanity. We specialize in training and deploying cutting-edge models for developers and enterprises focused on creating AI systems that deliver extraordinary experiences such as content generation, semantic search, retrieval-augmented generation, and intelligent agents. We view our work as pivotal to the broad acceptance of AI technologies.We are passionate about our creations. Every team member plays a vital role in enhancing our models' capabilities and the value they provide to our customers. We thrive on hard work and speed, always prioritizing our clients' needs.Cohere is a diverse team of researchers, engineers, designers, and more, all dedicated to their craft. Each individual is a leading expert in their field, and we recognize that a variety of perspectives is essential to developing exceptional products.Join us in our mission and help shape the future of AI!Why this role?Are you excited about architecting high-performance, scalable, and reliable machine learning systems? Do you aspire to shape and construct the next generation of AI platforms that enhance advanced NLP applications? We are seeking talented Members of Technical Staff to join our Model Serving team at Cohere. This team is responsible for the development, deployment, and operation of our AI platform, which delivers Cohere's large language models via user-friendly API endpoints. In this role, you will collaborate with multiple teams to deploy optimized NLP models in production settings characterized by low latency, high throughput, and robust availability. Additionally, you will have the opportunity to work directly with customers to create tailored deployments that fulfill their unique requirements.
About Flow EngineeringAt Flow Engineering, we are pioneering an AI-native requirements platform that empowers cutting-edge engineering teams to collaborate seamlessly with AI agents. Our mission is to facilitate the design, validation, and evolution of complex systems with unmatched speed and precision. Following our successful Series A funding, we are on an exciting trajectory to scale our product from thousands to hundreds of thousands of users, all while upholding the highest standards of reliability and performance.About the RoleWe are seeking a passionate Infrastructure Software Engineer to join our dynamic team. In this role, you will be instrumental in constructing and expanding the core platform that underpins Flow. You will manage services and infrastructure that empower "agentic systems engineers" and product teams to leverage Flow in their daily tasks.You will become a key member of a small, senior team that prioritizes speed, ownership, and solid engineering principles—delivering version 1 products swiftly, learning, and iterating effectively.Your ResponsibilitiesDesign, develop, and maintain backend services and platform primitives that facilitate complex engineering workflows and large-scale collaboration.Enhance Flow’s capacity from thousands to hundreds of thousands of users, focusing on performance, reliability, observability, and security across the entire stack.Take ownership of CI/CD pipelines, testing infrastructure, and internal tools to enable rapid and safe product releases.Collaborate with frontend and AI engineers to establish robust APIs, data models, and integration points that are easy to adapt and evolve.Contribute to architectural decisions and the technical roadmap as our product and customer base expands.Your ProfileA minimum of 3 years of software engineering experience in building and maintaining production systems within a cloud environment (e.g., AWS or GCP).Deep understanding of systems design, distributed systems, and best practices for reliability, observability, and security.Proficiency with containerization and infrastructure-as-code tools (e.g., Docker, Terraform, etc.).Ability to take ownership of projects end-to-end in a fast-paced environment and make pragmatic decisions amidst ambiguity.A collaborative mindset with low ego, eager to work closely with product, design, and customer-facing teams.Our Technology StackUtilization of TypeScript, Node.js, and React for application development, with a strong emphasis on type safety.Employing Postgres and various managed cloud services for data persistence and messaging.
About Us:At Notion, we empower individuals and teams to create beautiful tools for their life’s work. In a landscape flooded with apps and tabs, we provide a unified platform that seamlessly integrates documents, notes, projects, calendars, and emails, enhanced by AI to streamline workflows and deliver insights. Our diverse user base, from solo entrepreneurs to industry giants like Toyota, Figma, and OpenAI, appreciates Notion's flexibility and efficiency, allowing them to save both time and resources.Collaboration is the heartbeat of Notion's culture. We ask all team members to work from our San Francisco office on Mondays, Tuesdays, and Thursdays—our designated Anchor Days. Depending on team needs, additional in-office days may be required.About the Product Infrastructure Team:The Product Infrastructure team is tasked with developing robust abstractions and data models that address persistent challenges across our technology stack. Our work spans multiple product interfaces, bridging both front-end and back-end development to unlock new avenues for product innovation.What You’ll Achieve:Architect and develop the foundational frameworks that facilitate data interactions within Notion, incorporating feedback from internal stakeholders and leveraging tools such as AWS, Postgres, NodeJS, TypeScript, and React on the frontend.Create innovative systems and abstractions that enhance developer efficiency, reliability, and performance by proactively addressing common challenges faced by product engineers.Tackle complex technical issues including designing efficient traversal mechanisms for user content graphs, developing systems for offline content synchronization, and expanding our permissions model to accommodate the needs of large clients with intricate content structures.Skills You’ll Need to Bring:Analytical problem-solving: You possess a keen ability to thoroughly assess contexts, deconstruct complex problems, and arrive at elegant solutions.Business acumen: You understand the importance of business impact and align project priorities accordingly, balancing quality, speed, and profitability.Commitment to simplicity: You critically evaluate the implications of your designs, striving for simplicity and elegance in your work.
About DecagonDecagon stands at the forefront of conversational AI technology, empowering brands to offer exceptional concierge-style customer experiences. Our innovative platform is trusted by industry leaders such as Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas, enabling them to deploy AI agents that facilitate personalized and engaging interactions across various channels including voice, chat, email, and SMS.We envision a future where customer interactions are transformed from mundane support tickets and waiting on hold to swift resolutions, meaningful dialogues, and enriched relationships. Our commitment to this vision is supported by esteemed investors like a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, among others.Based in San Francisco, we foster an in-office culture that prioritizes excellence and momentum. Our core values—Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle—guide our collaborative efforts and collective growth.About the TeamThe Agent Orchestration team is responsible for developing the fundamental execution layer that facilitates every agent interaction. Our systems are designed to orchestrate model reasoning, assess agent performance, and ensure consistent agent behavior in real-world customer scenarios.With a focus on accuracy, dependability, and speed, our work influences how Decagon agents strategize, decide, and implement actions during millions of interactions.About the RoleAs a Senior Software Engineer on the Agent Orchestration team, you will be pivotal in shaping the long-term architecture of Decagon’s agent platform. You will spearhead substantial, multi-quarter projects that define the functionality and scalability of our orchestration engine, enabling engineers across the organization to build effectively upon it.This position is ideal for individuals who excel in technical depth, possess the ability to influence cross-functional teams, and are passionate about developing robust, principled systems that endure. You will collaborate closely with teams in Research, Infrastructure, Product Engineering, and Agent Software Engineering to establish the standards and frameworks that uphold the reliability and intelligence of Decagon agents.In this role, you will:Take ownership of the architecture and ongoing evolution of Decagon's core execution engine for agents.Lead the design of systems that manage complex reasoning and action flows on a large scale.Enhance reliability, testing, and observability standards throughout the orchestration stack.
About NumeralNumeral is revolutionizing the automation framework for online commerce, beginning with the often tedious task of sales tax compliance. We take care of everything from registration to remittance, providing an exceptional service that allows e-commerce businesses to concentrate on their core mission: expanding their products, customer base, and teams.As one of the rapidly growing companies from Y Combinator’s Winter 2023 cohort, we are backed by prestigious investors such as Benchmark Capital. Our team boasts extensive experience from the pioneering days at Stripe, Airbnb, Notion, and other leading firms, and we are poised to bring that same level of expertise, speed, and ambition to an industry ripe for transformation.Numeral may be small, but our impact is significant. Our growth is already approaching unmanageable levels, meaning each new hire will play a crucial role in shaping our company’s future. If you’re eager to join as an early team member and desire the kind of ownership that can define your career, we would love to connect with you.MissionOperating an online business today often requires juggling numerous responsibilities, many of which are not why founders launched their ventures. Our mission is to alleviate the administrative and accounting pressures that divert businesses from their passions.We have already assisted hundreds of merchants in sidestepping the headache of establishing large finance teams solely to manage tax compliance. Looking ahead, we aim to broaden our positive impact by developing the automation layer that enables online businesses to remain agile, compliant, and prepared for the future.About the RoleWe are seeking a foundational Software Engineer (Infrastructure) who excels at tackling complex distributed systems challenges at scale. In this role, you will design and implement core infrastructure, enhance service reliability and observability, and guarantee the platform’s scalability as we accommodate growing transaction volumes and integrations.This is a pivotal role with high leverage: your contributions will shape the architecture and technical direction of our infrastructure platform, directly influencing our customers’ experience and the trajectory of the company.ResponsibilitiesDesign and develop highly scalable, secure, and reliable infrastructure to support critical APIs, services, and data pipelines.Lead infrastructure architecture decisions focusing on performance, observability, and fault tolerance.
Join Decagon as a Senior Software Engineer specializing in Machine Learning Infrastructure. In this pivotal role, you will be responsible for designing and optimizing systems that support machine learning models and applications. Your expertise will help drive innovation and efficiency in our ML pipelines, ensuring that our algorithms are fast, scalable, and reliable.You'll collaborate with cross-functional teams to implement cutting-edge solutions that enhance our product offerings. If you are passionate about advancing machine learning technologies and thrive in a dynamic environment, we want to hear from you!
Full-time|$160K/yr - $250K/yr|On-site|San Francisco, CA
Join the Fluidstack TeamAt Fluidstack, we are revolutionizing the infrastructure that empowers artificial intelligence. Our collaborations with leading AI labs, government entities, and major enterprises like Mistral, Poolside, Black Forest Labs, and Meta enable us to deliver computational power at unprecedented speeds.Our mission is to turn artificial general intelligence (AGI) into reality. We pride ourselves on our commitment to excellence and our focus on creating a world-class infrastructure. Our dedication to our customers’ success drives us to build exceptional systems that foster trust and efficiency. If you are passionate about making a difference, striving for excellence, and ready to work diligently to shape the future of intelligence, we invite you to join our innovative team.Your RoleWe are seeking a Software Engineer to play a pivotal role in developing the technological backbone of Fluidstack's talent acquisition and human resource operations. This position focuses on the complete talent lifecycle, where you'll be responsible for designing, developing, and implementing internal tools and integrations that enhance the efficiency of our recruiters, empower hiring managers with data-driven insights, and accelerate the onboarding process for new hires. You'll work closely with ATS and HRIS platforms, as well as the broader HR tech ecosystem, and leverage AI tools to create tailored solutions when existing tools fall short. Given the rapid pace and scale of our hiring, this role is crucial for fostering our growth.Key ResponsibilitiesLead the talent tooling roadmap: Collaborate with Recruitment and People Operations to define scope, design, implement, and deploy solutions.Develop and sustain integrations: Connect with tools like Ashby and Rippling, streamline data access, and minimize manual tasks.Create internal recruiting workflows: Design candidate pipeline dashboards, interview scheduling automation, offer letter generation, headcount planning views, and onboarding checklists.Enhance talent funnel analytics: Build dashboards to provide real-time insights into key metrics such as time-to-fill, offer acceptance rates, funnel conversion, and retention indicators.Automate HR processes: Simplify onboarding, e-signature routing, and data synchronization across ATS, HRIS, and IT systems.Implement AI-driven recruiting features: Develop intelligent candidate matching, automated scorecard summaries, job description drafting tools, and sourcing enhancement pipelines.
About the Role OpenAI is hiring a Software Engineer to work on Infrastructure for Consumer Devices in San Francisco. This position centers on building scalable systems that support and improve the experience of users interacting with AI-powered devices. What You Will Do Design and develop infrastructure for consumer-facing devices Work on systems that directly impact how users interact with AI technology Apply technical expertise to create solutions that scale as usage grows
About the RoleHex Technologies is seeking experienced Senior and Staff-Level Fullstack Engineers who are passionate about contributing to our revolutionary Magic AI features.At Hex, we are dedicated to developing integrated AI functionalities that enhance and expedite analytics workflows. The potential here is extraordinary, and we are in a unique position to transform how individuals interpret and utilize data.In this position, you will spearhead the integration of AI-driven features into the Hex platform, collaborating closely with our Research Team for context and model prompting, as well as with other product engineering teams for seamless integration. Your efforts will significantly alter the data interaction experience for thousands of users, placing you at the forefront of one of the most exciting technological evolutions of our time. As a member of our Agent Platform Team, you will manage the scalable infrastructure that powers today's most advanced data agents and the innovative experimentation tools that enable rapid development of new AI features.
Transforming AI Through Self-ImprovementAt Letta, we are pioneering the development of self-improving artificial intelligence systems. Unlike traditional AI, which can be inflexible and limited, our agents are designed to learn continuously from their experiences and adapt accordingly.Founded by the innovators behind MemGPT at UC Berkeley’s Sky Computing Lab—the home of industry-changing technologies like Spark and Ray—Letta is supported by prominent figures in AI infrastructure, including Jeff Dean and Clem Delangue. Our agents are already making a difference in production environments for esteemed companies such as 11x and Bilt Rewards, evolving and enhancing their capabilities daily.We are forming a top-tier team of researchers and engineers to tackle AI's most significant challenge: creating machines that can reason, remember, and learn as humans do.Note: This position requires in-person attendance in our downtown San Francisco office, five days a week.
About LightfieldLightfield is an innovative AI-driven CRM that seamlessly integrates your email, calendar, and meetings into an organized platform. It captures every interaction and transforms it into actionable insights, tasks, accounts, and follow-ups, ensuring that nothing is overlooked.We are revolutionizing the CRM landscape from the ground up. Rather than imposing rigid structures on teams, Lightfield adapts to how businesses naturally operate, automating processes and highlighting insights that foster growth. We are crafting the CRM platform of our dreams: fast, intelligent, and genuinely beneficial.Supported by esteemed investors like Greylock, Lightspeed, and Coatue, our team has a rich history of building impactful products, including Tome, a generative AI presentation tool embraced by over 25 million users. Our collective experience spans companies such as Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are in search of a skilled, innovative, and adaptable engineer excited to take on the challenge of designing, developing, and scaling the foundational infrastructure and systems that power Lightfield's AI-enhanced CRM.At Lightfield, engineers take full ownership of projects from ideation to execution, collaborating across various functions and pushing the boundaries of what is achievable in applied AI and data systems. You will play a pivotal role in crafting and constructing the data models and infrastructure that support a next-generation CRM, ensuring optimal performance, scalability, and resilience.What You'll DoDevelop and sustain full-stack systems, ensuring reliability, scalability, and robust performance.Architect and enhance the data infrastructure and backend services that drive Lightfield's AI-powered CRM.Design and refine data models to facilitate CRM workflows, customer interactions, and AI-derived insights.Create observability and metrics frameworks to promote seamless operations, proactive issue detection, and ongoing enhancements.Guide colleagues, engage in code reviews, and contribute to shaping the engineering culture and best practices.Play a key role in cultivating a top-tier engineering team through recruitment, mentorship, and knowledge exchange.Who You ArePossess 3+ years of software development experience, with a solid foundation in infrastructure, data modeling, and backend systems.Demonstrate extensive experience in designing scalable, high-performance systems.
Full-time|On-site|San Francisco, California, United States
Rockstar is on the hunt for a talented Backend Software Engineer to join a rapidly expanding startup that is pioneering the AI infrastructure for the next generation of smart products. This innovative company specializes in providing AI startups with the tools to design, fine-tune, evaluate, deploy, and maintain their specialized models across various domains like text, vision, and embeddings. Think of them as the 'AWS for AI models'—offering a comprehensive backend solution for fine-tuning, reinforcement learning, inference, and ongoing model maintenance. Their clientele includes Series A to C AI companies that are developing enterprise-grade products, with a simple promise: to enhance your AI systems.As a Backend Software Engineer focusing on ML Infrastructure, you will play a pivotal role in designing, building, and scaling the essential systems that facilitate extensive model training and deployment.Your responsibilities will include developing distributed training pipelines, establishing cloud-native infrastructure, and creating internal developer platforms that support fine-tuning, reinforcement learning, and inference at scale. This position uniquely combines backend engineering with machine learning systems, allowing you to work closely with ML engineers while taking ownership of production-grade infrastructure.This role is a fantastic opportunity for an early-career engineer eager to dive into real distributed systems, GPU workloads, and cutting-edge ML infrastructure—far removed from simple dashboards or CRUD applications.
