Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Qualifications
Ideal candidates will possess a strong background in cybersecurity research, experience in machine learning, and proficient software engineering skills. You should be adept at balancing exploratory research with practical engineering implementation, demonstrating a passion for AI development focused on safety and societal benefit. Familiarity with security engineering, fuzzing, and detection and response processes will be advantageous.
About the job
Join Anthropic as a Research Engineer on our Cybersecurity Reinforcement Learning team, where you'll contribute to the development of AI systems designed for secure coding, vulnerability remediation, and other defensive cybersecurity initiatives. This role blends research with engineering, allowing you to innovate new methodologies while implementing them in code. You will design RL environments, conduct experiments, and collaborate with a diverse team of experts to enhance our AI capabilities while ensuring safety and reliability.
About Anthropic
Anthropic is dedicated to building trustworthy, interpretable, and steerable AI systems that prioritize safety and societal benefit. Our rapidly expanding team consists of passionate researchers, engineers, policy analysts, and business leaders, all committed to creating AI technologies that enhance human capabilities while ensuring ethical standards.
On-site|On-site|San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC
Join Anthropic as a Senior Software Engineer focused on developing cutting-edge AI-driven cybersecurity products. In this dynamic role, you will collaborate with a passionate team to prototype and build innovative solutions that enhance security applications. Your work will bridge research, product development, and customer engagement, allowing you to contri…
Bishop Fox is a premier authority in offensive security, delivering a wide array of solutions including continuous penetration testing, red teaming, and comprehensive assessments of product, cloud, and application security. Our esteemed clientele includes over a quarter of the Fortune 100, half of the Fortune 10, eight of the top 10 global technology firms, and all leading global media companies. Our managed service platform, innovative service offerings, and commitment to excellence have earned us numerous accolades from industry award programs such as Fast Company, Inc., and SC Media. For more than 16 years, we have actively contributed to the security community, publishing over 16 open-source tools and 50 security advisories in the past five years alone. Discover more at bishopfox.com or connect with us on social media.Who You AreThe Agentic AI Software Engineer in Cybersecurity Systems is tasked with designing, developing, and deploying cutting-edge AI-driven software solutions aimed at enhancing cybersecurity detection, response, analysis, and automation capabilities. In this role, you will focus on constructing and maintaining agent-based AI systems proficient in autonomously generating code, performing security analyses, triaging alerts, identifying vulnerabilities, and proposing remediation strategies, all under structured human oversight and validation.This position demands advanced expertise in computer science, artificial intelligence, machine learning, secure software engineering, distributed systems, and cybersecurity principles. You will be engaged in complex system design, secure AI integration, and the creation of enterprise-grade security automation platforms.
Why Choose Numeric?Accounting is the backbone of every business. Unfortunately, many software solutions in this field were designed in the early 2000s — cumbersome, slow, and outdated in terms of AI capabilities. Today, accountants are grappling with an escalating, unresolved data challenge stemming from complexity, data overload, and fragmented systems — leaving them without adequate tools for resolution. These challenges are significant, complex, and increasingly urgent. But they are solvable.Welcome to Numeric — the future of accounting and finance. We are developing a platform that embodies the vision of real-time, comprehensive, and reliable data and insights for organizations to enhance their decision-making and execution.Our mission addresses the foundational issues necessary for automating data ingestion, transformation, matching, projection, and reporting, creating a seamless graph of financial data. By integrating data, automation, workflows, and AI-driven experiences, we empower accounting teams to maintain a continuous view of their company’s financial health and activities.With strong product-market fit and a growing customer base that includes leaders such as Anthropic, Brex, OpenAI, Plaid, and Wealthfront, we are backed by top-tier investors including IVP, Menlo Ventures, Founders Fund, and 8VC, alongside founders and executives from Ramp, Segment, and other pioneering firms.About the RoleAs a Product Software Engineer at Numeric, you will take charge of the entire product lifecycle, directly influencing our product strategy and direction. We seek innovative, dynamic builders with robust foundational skills and a commitment to enhancing user experiences and addressing key challenges.Potential ResponsibilitiesYou may work on our advanced data platform, which includes:Ingestion processes, metadata management, lineage tracking, and transformation for thorough analysis and insights while ensuring source traceability.Our reporting tools, enabling end-users to create flexible, highly-structured financial projections that can be saved as reports and seamlessly integrated into their workflows. These reports are both traceable and composable, allowing users to delve into transaction-level details and beyond.Monitoring systems, empowering clients to identify and rectify data issues at the source and prevent errors...
Join the Revolution at HarveyAt Harvey, we're not just changing the game for legal and professional services; we're redefining it from the ground up. By harnessing cutting-edge agentic AI, a robust enterprise platform, and unparalleled domain expertise, we're transforming the way essential knowledge work is performed for generations to come.This is an extraordinary opportunity to contribute to the foundation of a groundbreaking company at a pivotal moment. With a client base exceeding 1,000 across over 58 countries, a strong product-market fit, and exceptional investor backing, we're rapidly scaling and creating a new genre in real-time. The challenges are ambitious, the expectations are high, and the potential for growth — personally, professionally, and financially — is unparalleled.Our team is composed of sharp, driven individuals who are passionately committed to our mission. We operate with agility, intensity, and take genuine ownership of the challenges we face — from initial concept to long-term impact. We maintain close relationships with our customers, spanning from leadership to engineering teams, working collaboratively to address real issues with urgency and care. If you excel in uncertain environments, strive for excellence, and wish to help craft the future of work alongside like-minded individuals, we welcome you to join us in building something remarkable.At Harvey, the future of professional services is being crafted today — and we’re only at the beginning.Role OverviewAs a Senior Staff Software Engineer on our Product Security team, you will play a vital role in integrating security into our AI platform from the outset. Given that we handle and process our clients’ most sensitive information, prioritizing security is essential throughout our product lifecycle. You will take the lead in safeguarding crucial aspects of our product while spearheading high-impact security initiatives that elevate our entire engineering organization — balancing hands-on technical contributions with cross-functional leadership and mentorship. You’ll be responsible for designing and implementing both technical safeguards and security features within the Harvey platform.Our security program thrives on our collective offensive security experience: penetrating systems at other organizations (in white-hat capacities), responding to real security incidents, and drawing lessons from data breaches elsewhere. We routinely conduct penetration tests and red team exercises with external security experts. Simultaneously, we are all software engineers who contribute code daily, approaching security with an engineering-first mindset.What You’ll DoEstablish and enhance the security posture across the engineering organization, setting scalable standards.Collaborate with Product Engineering, Infrastructure, and other teams to integrate security into every facet of our development process.
At Netic, we are pioneering the AI revenue engine that powers essential services, forming the backbone of the American economy.With a robust $43 million in funding from prominent investors such as Founders Fund, Greylock, Hanabi, and Dylan Field, who led our Series B, we have empowered our clients to secure hundreds of thousands of jobs across various service industries throughout North America. Today, numerous companies are operating entirely through an AI-first approach on the Netic platform.Joining our team means collaborating with passionate builders from renowned organizations such as Scale, Databricks, HRT, Meta, and prominent academic institutions like MIT, Stanford, and Harvard. Together, we are advancing frontier AI technologies within the physical economy, where challenges are complex, data is intricate, and the impact is both immediate and significant.As a Software Engineer on our Product team, you will develop innovative features that seamlessly integrate AI into real-world business applications. This role emphasizes technical excellence and a deep understanding of customer needs, enabling us to create products that simplify complex AI technologies and deliver immediate value to essential service industries.
About CartesiaAt Cartesia, our vision is to create the future of AI—an intelligent, interactive system that seamlessly integrates into your daily life. Today, even the most advanced models struggle to process and analyze vast streams of audio, video, and text data—1 billion text tokens, 10 billion audio tokens, and 1 trillion video tokens—especially on-device.We are at the forefront of developing the model architectures that will make these capabilities a reality. Our founding team, who met as PhD candidates at the Stanford AI Lab, pioneered State Space Models (SSMs), a novel approach for training efficient, large-scale foundational models. Our diverse team combines deep expertise in model innovation and systems engineering with a design-oriented product engineering team to create and deliver cutting-edge models and experiences.With support from leading investors such as Index Ventures, Lightspeed Venture Partners, Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks, and others, along with guidance from an exceptional group of advisors and over 90 angel investors across various industries, we are well-positioned to redefine the AI landscape.About the RoleWe are seeking a passionate Product Software Engineer to join our team, focusing on building and scaling the platform infrastructure that supports Cartesia's voice AI products. In this role, you will develop composable platform components that enhance feature delivery across our API and conversational AI systems.Your ImpactDevelop and scale product platform components to facilitate Cartesia's growth.Take ownership of critical product infrastructure end-to-end, including real-time systems.Collaborate with product teams to identify common needs and create platform primitives that enhance their development speed.What You BringA minimum of 3 years of experience as a backend or platform engineer with a focus on building scalable systems.A customer-centric mindset that prioritizes outcomes over technical specifications.A proactive approach to owning your work, tackling ambiguous challenges, and achieving results.Strong decision-making skills regarding when to expedite development and when to invest in scalability.Familiarity with our technology stack: TypeScript for frontend, Python and Go for backend. Expertise in all three is not required, but a willingness to learn is essential.Nice-to-HavesExperience with AI or machine learning systems.Background in working with real-time data processing.
On-site|On-site|San Francisco, CA | New York City, NY
Join Anthropic as a Research Engineer on our Cybersecurity Reinforcement Learning team, where you'll contribute to the development of AI systems designed for secure coding, vulnerability remediation, and other defensive cybersecurity initiatives. This role blends research with engineering, allowing you to innovate new methodologies while implementing them in code. You will design RL environments, conduct experiments, and collaborate with a diverse team of experts to enhance our AI capabilities while ensuring safety and reliability.
About UsAt Braintrust, we are pioneering the AI observability landscape. Our platform seamlessly integrates evaluations and observability into a unified workflow, providing developers with crucial insights into AI behavior in production and powerful tools for enhancement.Our clients, including renowned teams at Notion, Stripe, Zapier, Vercel, and Ramp, leverage Braintrust to benchmark models, optimize prompts, and identify regressions, transforming production data into superior AI functionality with each iteration.The OpportunityWe are in search of a motivated Product Engineer who is enthusiastic about crafting tools that users adore and rely on daily. In this role, you will engage closely with our users—developers, product managers, and designers in the AI domain—and significantly influence our product roadmap.Our platform is built on a high-performance, local-first architecture with a visualization-heavy UI, utilizing modern Typescript and React. Our clientele, comprised of some of the leading technology firms, demands a product that is exceptionally fast, reliable, and user-friendly.Your ResponsibilitiesKey responsibilities include:Guaranteeing a seamless experience for customers enabling AI observability in their systems.Contributing to the foundational UI architecture with a focus on performance and efficient data loading strategies.You will also develop user-facing components for Braintrust, such as:An exceptional prompt playground that accommodates multiple models and thousands of user inputs.A robust system for managing prompts, configurations, and version comparisons.A scalable multiplayer human review system.LLM output analysis and comparison across extensive datasets.Ideal Candidate ProfileProficient in Typescript, React, HTML, CSS, SQL, and NextJS.Experience in founding or working with startups is advantageous.Familiarity with writing prompts and experimenting with GPT models and applications.What We OfferComprehensive medical, dental, and vision coverage.Daily lunch, snacks, and beverages provided.Flexible time-off policy.Competitive salary and equity opportunities.AI stipend for continued learning and tools.Commitment to DiversityBraintrust is a staunch advocate for equal opportunity in the workplace. We believe in fostering a diverse and inclusive environment.
Join us at sfcompute as we revolutionize the landscape of infrastructure development, addressing the complexities of the largest infrastructure build-out ever undertaken.In the realm of GPU financing, where massive data centers and their supporting infrastructure are involved, the concept of 'offtake' is crucial—this means securing lease contracts before the clusters are even constructed.The risk associated with financing GPU clusters is significant, given the slim margins and vast volumes involved. Lenders seek assurance that developers can meet their financial obligations, while developers are keen to avoid the pitfalls of unsold clusters. Consequently, this risk is often transferred to customers through fixed-price long-term contracts.Without effective risk mitigation for customers, the industry faces potential collapse. Unlike traditional SaaS models, application companies are tied into long-term contracts for computational resources but operate under monthly billing to end-users. A small misstep in sales can lead to dire financial consequences. Imagine if companies had the option to exit their contracts by reselling them in a liquid market.As AI technology advances, access to compute power may increasingly be restricted to those who can shoulder substantial financial risks. A small startup in San Francisco shouldn't have to commit to a lengthy, high-value contract for supercomputers; instead, they might benefit from flexible liquidity options provided by the market.This is precisely what we are creating: a vibrant, liquid market for GPU offtake.About the RoleAs a Product Software Engineer at sfcompute, you will play a pivotal role in developing products that mitigate risks associated with this monumental infrastructure buildout.Your work will involve collaborating across teams to design and implement sophisticated yet user-friendly interfaces for:Public cloud services that provide access to billion-dollar supercomputers.Innovative computing markets and their associated financial products.Cost-effective trillion-token inference capabilities.ResponsibilitiesLead the development of new user-facing features for our public cloud platform, marketplace, and other products.Deliver outstanding user experiences through meticulous UI/UX design, utilizing frameworks like React and Next.js.Collaborate with developers from leading AI startups and research labs to transition features from concept to production, directly addressing their demands.... (additional responsibilities to be detailed).
Role OverviewAs a Product Software Engineer at OpenEvidence, you will have the opportunity to design, develop, and deliver impactful features across web, mobile, and backend systems. Your work will directly affect nearly half of all clinical decisions and patient interactions in the United States.We seek exceptional engineers who thrive in a versatile environment. You will have the autonomy to work across various products and projects, taking ownership of the areas where you can create the most significant impact.About OpenEvidenceOpenEvidence stands as the leading medical AI platform globally. With over 40% of US clinicians utilizing our services, our growth is propelled by product-led adoption through word of mouth. As a $12 billion company, our engineering team, comprised of 30 skilled professionals from prestigious institutions such as MIT, Harvard, and Stanford, is dedicated to building revolutionary products. We believe that transformative technologies emerge from small, exceptional teams that are empowered to take ownership and move swiftly. Join us at this pivotal moment to shape the future of medical AI.Our CultureWe hold the belief that work should be approached with a world-class mindset. The journey of building from the ground up and scaling is akin to a professional sport, where excellence is the standard. We recognize that groundbreaking technologies arise from individuals taking full ownership of their work. Significant achievements occur when one is driven to make them happen.Who You AreThis role is not for those seeking a traditional 9-5 job or academic pursuits. If you are eager to dive into challenges, create from scratch, and make a tangible difference in the lives of millions while contributing to substantial revenue growth, this may be the right opportunity for you.The ideal candidate is a brilliant engineer who is smart, ambitious, resourceful, independent, detail-oriented, and driven, with a humble attitude. We understand this is a rare combination, which is why we are searching for more exceptional individuals to join our team.Work EnvironmentAll full-time engineering roles require in-person attendance five days a week in either San Francisco or Miami.
Join Our Dynamic TeamWe are seeking talented software engineers to enhance the productivity of our Workload team. This team is responsible for maintaining the essential components of OpenAI’s training and inference frameworks, as well as executing cutting-edge experiments.About the OpportunityWe are in search of an individual who is passionate about improving the developer experience within OpenAI’s core training and inference frameworks.Your Responsibilities:Optimize development workflows for your fellow engineers.Collaborate with various Workload teams to address specific needs while working with centralized teams that manage different aspects of the development experience.Enhance iteration speed, particularly by improving the Continuous Integration (CI) processes for specific teams.Increase reliability by leading the testing strategies for various components.Tackle the diverse challenges involved in building libraries and systems that will delight our researchers.What Makes You a Great Fit:You are driven by a desire to help others and believe that exceptional teams are built by selfless contributors.You appreciate the significance of developer experience, recognizing that seamless iteration on a simple codebase is crucial.When encountering obstacles, your first instinct is to find solutions to prevent future issues, often following through with code changes.You possess a pragmatic mindset, knowing how to balance perfectionism with the need for progress.You enjoy taking projects from inception to completion, thriving in co-design scenarios where user and system understanding come together.You have a passion for working with Python.About OpenAIOpenAI is a pioneering organization at the forefront of artificial intelligence research and deployment. Our mission is to ensure that artificial general intelligence benefits all of humanity. With a commitment to safety and ethics, we are dedicated to advancing AI technology while ensuring its alignment with human values.
Join Cloudflare as a Senior Product Marketing Manager in Cybersecurity, where you'll be at the forefront of defending organizations against cyber threats. In this pivotal role, you will lead the marketing strategy for our cybersecurity solutions, collaborating closely with product, sales, and engineering teams to communicate the value of our offerings. Your insights will drive product positioning, messaging, and customer engagement initiatives that resonate with our diverse clientele.
About Our TeamJoin OpenAI as we seek talented software engineers to enhance the productivity of our networking teams. These teams are responsible for designing and managing high-performance networking systems that underpin OpenAI's training and inference infrastructure at the cutting edge of technology.About This RoleWe are looking for a dedicated individual who is passionate about improving the developer experience for engineers working on intricate infrastructure systems, specifically focusing on build systems, testing architecture, release pipelines, and efficient development workflows.This role is integral to OpenAI’s networking team, aimed at streamlining the processes for engineers to build, test, validate, and deploy changes in multi-server, networked, and hardware-adjacent environments.Key Responsibilities:Enhance development workflows for engineers tasked with building and operating OpenAI’s networking systems.Design and refine continuous deployment, release, and validation pipelines.Develop and sustain test harnesses for multi-server, networked, and hardware-backed environments.Accelerate iteration speed across codebases in C++, Python, and build-system-centric environments.Collaborate with engineers to uncover and resolve friction points in CI, testing, debugging, and deployment workflows.Lead the testing and reliability strategy for infrastructure components that support extensive training and inference workloads.Work closely with centralized developer experience teams while remaining deeply integrated with networking engineers who are closest to the systems.
About Our TeamJoin our innovative Applied AI team at OpenAI, where we responsibly deploy cutting-edge technology for global impact. We are the creators behind transformative products like ChatGPT, Plugins, DALL·E, and the APIs for GPT-4, GPT-3, embeddings, and fine-tuning. Our team also manages large-scale inference infrastructure, with exciting developments on the horizon.We are dedicated to learning from real-world deployments to maximize AI benefits while ensuring its responsible use. Prioritizing safety over unchecked growth, we directly engage with end-users through ChatGPT and empower developers via our APIs, enabling unprecedented product features.About the PositionAs a pivotal member of our Engineering Acceleration team, you will design, build, and maintain the essential systems that drive the development of ChatGPT and our APIs. This growing team offers you the opportunity to shape the strategy and vision that enhances developer productivity.Key Responsibilities:Lead the creation and implementation of tools and processes that boost engineering efficiency, minimize manual tasks, and enhance output quality.Leverage our advanced AI tools to redefine productivity standards within our engineering teams.Collaborate with internal teams to identify their workflows, challenges, and requirements, ensuring our systems effectively address their needs.Deliver innovative features and research capabilities in partnership with product engineers to establish the necessary technical groundwork.Advise engineering teams on best practices for building observable and scalable systems.Maintain responsibility for the reliability of the systems we develop, including participating in an on-call rotation for critical incident response.Ideal Candidate Profile:5+ years of engineering experience, with at least 3 years focused on developing infrastructure tools for developers.Empathetic understanding of the tools and processes that hinder engineering teams, contributing to inefficiencies or burnout.A relentless passion for learning and innovating in a fast-paced environment.
Join our dynamic team at Sierra as a Software Engineer focused on product development. In this role, you will be responsible for designing and implementing high-quality software solutions that enhance user experiences and drive product success. Collaborate with cross-functional teams to gather requirements, develop specifications, and create innovative software solutions that meet the needs of our customers.
About UsAt Koah Labs, we are innovating the advertising landscape by creating an ad network designed for the next generation of AI-driven products. Our mission is to empower publishers with monetization solutions while enabling advertisers to connect with their target audience seamlessly, all without sacrificing speed, user experience, or privacy.As a compact and dynamic team based in San Francisco, our members bring diverse expertise from leading companies like X, Apple, and Meta, as well as from successful startups. Backed by top-tier investors, we are rapidly scaling with significant momentum on both the publisher and advertiser facets of our marketplace.Joining Koah means becoming part of something impactful from the outset; your code will directly influence the company's future and the ecosystem we are developing. We prioritize agility, trust, and a deep commitment to quality in our work.Our Technology StackInfrastructure: Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, CloudflareData Management: PostgreSQL, ClickHouse, Redis, Kafka, PythonCore Application Development: Ruby on Rails, React, TypeScriptSoftware Development Kits (SDKs): iOS, Android, Web, Flutter, React NativeKey ResponsibilitiesContribute to shaping the engineering organization’s foundation.Lead initiatives across the technology stack, exercising significant influence over product direction and technical design.Engage in technically challenging and fulfilling work, from optimizing matching algorithms to delivering high-quality user experiences for millions.Collaborate with cross-functional teams in data and go-to-market strategies to steer product development based on customer needs.Adopt a mindset of experimentation, continuously learning how users engage with AI-driven products and utilizing data from these insights to inform our efforts.Ideal Candidate ProfileProven experience in building and scaling production-quality systems and user experiences.Comfortable working across the technology stack, tackling unfamiliar tasks, and navigating ambiguity.Thrives in an in-person environment and values rapid feedback loops.Enjoys deconstructing problems and validating hypotheses through testing.
Full-time|$170K/yr - $170K/yr|On-site|San Francisco
Join Convex and revolutionize application development!At Convex, we are dedicated to transforming the way developers construct applications. Our mission is to fundamentally reshape software development on the Internet by enabling developers to create fast, reliable, and dynamic applications without the need for backend teams. Our comprehensive full-stack app platform is meticulously designed with database, compute, and backend abstractions, allowing developers and LLMs to innovate quickly while ensuring that products remain scalable and manageable over time.About Our Team:Our team comprises engineers who have designed and built some of the most significant backends worldwide, handling exabytes of data and millions of transactions per second, while delivering desktop and mobile software to billions of devices. We are a friendly, collaborative, and passionate group that thrives on working together in our San Francisco office.Your Role:At Convex, we have a vast product surface area that includes our dashboard, insights, third-party integrations, project management, billing systems, email services, logging, and streaming, all of which are crucial to our customers’ businesses. These products need to be robust, reliable, intuitive, and enjoyable to use. We seek engineers who are passionate about creating excellent product experiences and expanding our offerings, particularly as we advance into higher markets.If you are an engineer with a keen design sensibility who values quality and is skilled at prioritization while collaborating directly with customers and business teams, you will likely be an excellent fit for our team. This role is for those who aspire to do impactful work and utilize product insights to determine the “why” and “what” of our development process, not just the “how”.Your Responsibilities Include:Designing, building, and maintaining Convex’s platforms, dashboard UI, integrations, billing, and other services.Collaborating directly with customers and leadership to define feature development plans.Developing a deep understanding of customer needs and business objectives to make informed tradeoffs and prioritize effectively.Establishing best practices and reliability standards as our team and systems grow.Contributing to a culture of excellence in product development.
Location: San Francisco, CA (Hybrid: 4 days onsite/week). Relocation assistance available.About Our Team:At OpenAI, we are at the forefront of technology, creating foundational platform software that ensures our consumer products are reliable, secure, and high-performing. Our team collaborates across various system layers, working closely with engineering partners to deliver exceptional capabilities from initial concept to final launch.Role Overview:We are looking for a passionate Systems Software Engineer to lead the design, implementation, and debugging of critical platform components and the pipelines that build and update system images. Your focus will span across operating system layers, emphasizing performance optimization, security enhancements, and in-depth system debugging to deliver production-grade systems that exceed expectations.Key Responsibilities:Design and develop robust system-level components and services within both kernel and user spaces.Configure and maintain essential OS platform services (init, services, networking, security policies) and related tools.Build and manage image and update pipelines, ensuring their reliability, reproducibility, and rollback safety.Instrument system performance through profiling and tracing; enhance CPU, memory, I/O, and energy efficiency.Oversee platform observability and reliability, including logging, crash capture, watchdogs, and diagnostics.Collaborate with cross-functional teams to define interfaces and deliver comprehensive end-to-end features.Establish and promote strong engineering practices such as code reviews, continuous integration, reproducible builds, and effective release management.Work alongside external vendors to support builds and deployments.You Will Excel in This Role If You:Have successfully launched production systems software on modern operating systems.Possess proficiency in C/C++ and a scripting language, with a strong understanding of OS internals including concurrency, memory management, filesystems, networking, and power management.Demonstrate exceptional systems debugging skills utilizing debuggers, tracers, profilers, and logs across kernel/user-space boundaries.Comprehend the configuration of platform services and interfaces, effectively translating requirements into stable, well-documented APIs.Are knowledgeable about user-space foundations including service management, IPC, networking, packaging, and automation.Have experience collaborating with external partners to deliver high-quality software solutions.
About Our TeamJoin our dedicated Quality Assurance Software Engineering team, where we prioritize the excellence and dependability of our device software. We create and uphold automated testing frameworks, hardware-in-the-loop labs, and efficient release pipelines that guarantee quality signals are reliable, facilitating swift and secure product launches. Our collaborative environment encompasses infrastructure, automation, and cross-team synergy to ensure every release adheres to the highest standards.About the PositionAs a Quality Assurance Software Engineer, you will take ownership of the automated validation process for our device software. This encompasses developing test frameworks, conducting regression testing, overseeing hardware-in-the-loop labs, and managing release gates. You will construct systems that ensure quality signals remain trustworthy, integrate them into our CI/CD processes, and streamline the execution of repeatable procedures for QA vendor technicians.We seek engineers with extensive expertise in software quality, automation, and hardware-software integration, who are passionate about building scalable and reliable validation systems.This position is located in San Francisco, CA, operating on a hybrid work model of four days in the office each week, and we provide relocation assistance to new hires.Key Responsibilities:Test Infrastructure & Frameworks: Design, implement, and maintain a cohesive test framework for device software (unit, integration, system/end-to-end), integrating adapters for GitHub/Linear/Slack and ensuring reproducible runs.CI/CD Integration & Releases: Seamlessly integrate test suites with Buildkite, enforce promotion criteria (staging/prod), automate regression filing, and publish traceable artifacts and release notes.Hardware-in-the-loop Lab Design & Orchestration: Strategically plan and establish racks, power/networking, and orchestration for device testing; facilitate automated flashing, provisioning, and telemetry capture.Automation Tooling: Create tools for API/firmware validation, result triage, log capture, and reproducible bug reports.Quality Signals, Metrics, and Flake Control: Develop dashboards and alerts for pass rates, stability, and release readiness; identify and quarantine flaky tests; lead root-cause analysis with stakeholders; and monitor DORA-style delivery metrics to ensure release health.Vendor Enablement: Draft clear procedures for QA vendor technicians, review their reports, and manage a queue for rig maintenance and repairs.Cross-Team Collaboration: Collaborate with embedded and system software teams to enhance testability and streamline processes.
About Sprinter Health:At Sprinter Health, we are dedicated to revolutionizing healthcare access by delivering services directly to patients’ homes. Our mission addresses the alarming statistic that nearly 30% of Americans forgo essential preventive and chronic care due to transportation barriers. The emergency room often becomes the first point of contact with the healthcare system, resulting in over $300 billion in unnecessary costs annually.Leveraging advanced technology akin to leading marketplace and last-mile logistics platforms, we ensure that care reaches those who need it most. To date, we have helped more than 2 million patients across 22 states, conducted over 130,000 in-home visits, and achieved an impressive 92 NPS score. Supported by over $125 million in funding from prominent investors such as a16z, General Catalyst, GV, and Accel, we continue to thrive with a strong financial runway.About the Role:We are on the hunt for an accomplished Senior Backend or Full-Stack Software Engineer with over 5 years of experience eager to create the foundational systems that enable last-mile healthcare delivery. In this role, you will engage with products that integrate logistics, enhance patient experience, ensure safety, and streamline medical operations. You will be responsible for designing and scaling backend services, managing data flows, establishing integrations, and developing in-product experiences that directly impact patient care. Your work will encompass areas from clinician routing and booking flows to medical device integration and clinical error prevention, as you take charge of complex, high-stakes systems from inception to execution. If you are passionate about utilizing coding to tackle real-world challenges and deliver transformative healthcare solutions, this is the perfect opportunity for you.Office Location:We operate as a hybrid organization based in the Bay Area, with offices in both San Francisco and Menlo Park. We value work-life balance and recognize the importance of adaptability in our work arrangements.
