Senior Software Engineer - Attribution

Join Our TeamAt Unity Technologies, we are on a mission to create a powerful, near real-time reporting platform that drives essential analytics and decision-making across our diverse ecosystem. We are seeking a Senior Software Engineer to play a pivotal role in architecting and implementing distributed data systems that enable our platform to operate at scal…

Harness is at the forefront of AI-driven software delivery, founded by technologist and entrepreneur Jyoti Bansal, who previously founded AppDynamics, which was acquired by Cisco for an impressive $3.7 billion. With around $570 million in funding and a valuation of $5.5 billion, Harness is supported by top investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. In a landscape where AI is revolutionizing code generation, the focus has shifted to enhancing the post-code processes, including testing, deployments, application security, reliability, compliance, and cost management. Harness leverages AI and automation to streamline this "outer loop" of software delivery, empowering teams to accelerate their software releases while ensuring robust security and governance throughout the entire lifecycle. Utilizing Harness AI and the Software Delivery Knowledge Graph, our platform integrates deep context and intelligent automation across the software delivery lifecycle, embedding governance and policy-driven controls seamlessly. Over the past year, Harness has facilitated more than 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, and protected 3 trillion API calls, managing $2.8 billion in cloud expenditure. Our clients, including United Airlines, Morningstar, and Choice Hotels, have experienced up to 75% faster release cycles, reduced cloud costs by as much as 60%, and achieved an impressive 10x efficiency in their DevOps practices. With a diverse global team spread across 14 offices in 25 countries, Harness is poised to redefine the future of AI software delivery, and we are eager to welcome exceptional talent to propel us forward.

Databricks is seeking a skilled Senior Manager in Infrastructure Data Science to revolutionize our infrastructure through the power of data science. In this role, you will address intricate challenges associated with capacity planning, performance enhancement, reliability engineering, infrastructure optimization, and customer satisfaction. You will lead a talented team of data scientists and collaborate closely with engineering leaders to provide them with actionable, data-driven insights and solutions.At Databricks, our mission is to empower data teams to tackle the world's most pressing issues, from detecting security threats to advancing cancer treatments. We achieve this by creating and managing the leading data and AI infrastructure platform, allowing our clients to concentrate on the high-impact challenges that are vital to their missions.Founded in 2013 by the original creators of Apache Spark, Databricks has evolved from a small office in Berkeley, CA to a global powerhouse with over 7,000 employees. Numerous organizations, ranging from startups to Fortune 100 companies, depend on Databricks for their critical workloads, positioning us as one of the fastest-growing SaaS firms worldwide.Our engineering teams develop highly technical products that meet significant, real-world needs. We continuously push the limits of data and AI technology, all while maintaining the resilience, security, and scalability that are essential for ensuring our customers' success on our platform.

The OpportunityAre you a seasoned Senior Software Engineer specializing in Backend Infrastructure eager to drive significant advancements at the confluence of scalable web services and innovative AI technologies? Otter.ai is on the lookout for a skilled engineer to spearhead the creation, deployment, and management of web services and infrastructure that empower our AI-driven products and initiatives. In our vibrant engineering team, you will work hand in hand with AI researchers, product managers, and technology experts to deliver transformative solutions that enhance the experiences of professional end-users and enterprise clients across various sectors.Your ImpactUtilize your extensive expertise in Python to develop and refine backend systems that integrate seamlessly with machine learning and AI-driven functionalities.Design and implement robust business logic using web frameworks such as Django, ensuring compatibility with AI components and integration with MySQL.Architect scalable solutions using technologies like Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to facilitate sophisticated AI models and workflows.Write reusable, efficient, and maintainable code that forms the backbone of our high-performance web services and supports real-time AI analytics.Collaborate closely with AI teams to enhance data pipelines, optimize model deployment, and ensure backend systems effectively support AI-based product features.Effectively communicate with stakeholders across various teams, articulating technical strategies related to AI-enabled infrastructure.

About NewsBreakEstablished in 2015, NewsBreak is a pioneering Content Intelligence platform redefining the content economy. With a robust user base of over 40 million monthly active users, our flagship platform delivers tailored local news and information, powered by cutting-edge AI, recommendation systems, and advanced adtech.Acknowledged by Fast Company as #32 among the Top Workplaces for Innovators, we proudly hold Great Place to Work® certification and foster a vibrant team of technologists, product innovators, and business leaders dedicated to addressing significant challenges at scale.Achieving unicorn status in 2021, we remain steadfast in our commitment to high growth, seeking the ideal team to realize our mission: to establish the foundational infrastructure for content intelligence.If you’re driven to dream big, innovate rapidly, and make a meaningful impact, we want to hear from you! For more details, visit www.newsbreak.com/aboutAbout the Role:We are seeking a Machine Learning Infrastructure Engineer to join us in building the pivotal infrastructure that trains, serves, and monitors the models behind our Ads and Recommendations products. You will be part of a small, high-responsibility team that implements platform enhancements end-to-end—collaborating with product and data teams to minimize latency and costs while expediting the transition from concept to safely launched model.Your role will encompass the entire ML lifecycle: enhancing training efficiency and reliability, optimizing model serving performance, and fortifying our feature/embedding platform to ensure models remain current and consistent across offline and online applications. We are looking for someone who takes genuine ownership, completes tasks, and elevates the standards for stability and developer experience.Why This Role:Scope & Impact: Join a small team with a significant influence—your contributions will directly impact production.Ownership: Manage everything from design to rollout and post-launch insights; enjoy real autonomy with support.Growth: Gain visibility across the stack and a clear pathway to lead projects and mentor others.Pragmatic Culture: We prioritize outcomes over jargon, valuing clear thinking and follow-through.

Coupang is looking for a Staff Backend Engineer focused on Application Infrastructure to help shape the backbone of its large-scale e-commerce platform. This position is based in Mountain View or Seattle. Role overview This role centers on building and maintaining backend systems that are both scalable and reliable. The work supports the platform's growth and ensures that applications perform well under heavy demand. What you will do Design, develop, and maintain backend applications for Coupang’s e-commerce infrastructure Work closely with teams across the company to deliver solutions that meet business and technical needs Focus on system performance, reliability, and security throughout the development process Collaboration Expect to partner with engineers, product managers, and other stakeholders to deliver backend systems that serve millions of users.

About UsNuro is at the forefront of self-driving technology, dedicated to democratizing autonomy. Established in 2016, we are constructing the world’s most scalable driver by merging innovative AI with state-of-the-art automotive hardware. Our flagship technology, the Nuro Driver™, is licensed for diverse applications, including robotaxis, commercial fleets, and personal vehicles. With years of successful self-driving deployments, we provide automakers and mobility platforms a clear route to achieving commercial-scale autonomous vehicles, fostering a future that is safer, richer, and more interconnected.Position OverviewWe are expanding our software team and seeking skilled engineers to play a vital role in one of the following domains: Data Platform, Simulation, or Technical Infrastructure.Data Platform: This platform serves as a holistic management system for the data, labels, and metrics of the Nuro AI Driver, ensuring seamless access and functionality. The team specializes in data annotation across multiple domains, including 2D/3D perception, mapping, behavior trajectory, and language/text. Additionally, it manages data ingestion and mining, utilizing techniques such as heuristics and embedding search, while also supporting autonomy evaluation infrastructure with detailed introspection.Simulation: Our Simulation team constructs the simulator that enables the development and testing of our autonomous driving technology in a virtual environment. Responsibilities include developing the core simulator and simulation frameworks, sensor simulation, scenario generation, and integrating real-world data with synthetic methods to enhance simulation fidelity, collaborating closely with teams in Autonomy and AI Platform.Technical Infrastructure: This team is responsible for essential services that support the entire engineering organization, including a robust compute platform for mission-critical workflows such as data processing and simulation, storage management for vast amounts of data, and cloud infrastructure that provisions and maintains cloud resources. Tools to enhance engineering productivity, including build systems and CI/CD, are also part of this team's focus.

P-1137 Summary At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging issues, from detecting security threats to advancing cancer treatments. We achieve this by developing and operating the premier data and AI infrastructure platform, enabling our clients to concentrate on the high-impact challenges central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has evolved from a modest office in Berkeley, CA, to a global leader with over 1,500 employees. Thousands of organizations, ranging from startups to Fortune 100 companies, rely on Databricks for their mission-critical workloads, establishing us as one of the fastest-growing SaaS firms globally. Our engineering teams are focused on creating highly technical products that address significant real-world needs. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for our customers' success on our platform. Customers entrust Databricks with their most valuable data, and our Trust & Safety division is committed to creating the most reliable data analytics and machine learning platform worldwide. Security Engineering plays a vital role in safeguarding customer data from malicious threats. We seek senior leaders to shape the vision and define the strategic approach within this critical domain. The impact you will have: Enhance the safety of Databricks for our customers by identifying and addressing critical vulnerabilities in our infrastructure and services. Attract top-tier talent from across the industry. Advocate for the security engineering discipline across the organization, wielding a significant voice to drive data-driven decisions. Represent Databricks at academic and industry conferences and events.

Be Part of the Revolution in Home RoboticsAt sunday, we are pioneering the development of personal robots designed to help you reclaim valuable time lost to mundane tasks. Our ambitious mission is to make versatile robots accessible to everyone, allowing households to enjoy more quality moments together.After 18 months of assembling a skilled team, securing funding, and validating our innovative technology, we are in search of dedicated individuals to join us in this exciting phase of growth. If you're eager to leverage your skills at the cutting edge of robotics, we want to hear from you!Your RoleAs an Infrastructure & Release Engineer, you will take ownership of the

Waymo is at the forefront of autonomous driving technology, aiming to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and reduce the tragic loss of life due to traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be adapted to various vehicle platforms and use cases. With over ten million rider-only trips and extensive experience driving autonomously over 100 million miles on public roadways, complemented by tens of billions of miles in simulations across 15+ U.S. states, we are leading the way in this transformative field.The Perception team is responsible for creating the systems that learn the spatial-temporal representations and semantic meanings of the self-driving car's surroundings, effectively enabling the car to 'perceive' its environment. We collaborate closely with downstream teams to optimize and integrate our findings into the Waymo Driver. Our research tackles real-world challenges, leveraging vast amounts of driving data from diverse sensors. As part of our team, you will work on methods for continuous learning from large-scale real-world data, model development and training at scale, behavioral analysis, and system optimization for both onboard and offboard hardware.In this hybrid role, you will report to a Senior Staff Technical Lead Manager.

P-97 At Databricks, we are dedicated to empowering data teams to tackle the most significant challenges facing the world today. We achieve this by creating and managing the premier data and AI infrastructure platform, enabling our clients to harness profound data insights to enhance their operations. Our commitment to innovation drives us to constantly explore the edges of data and AI technology while maintaining the resilience, security, and scalability essential for our customers to thrive on our platform. With one of the largest software platforms globally, our infrastructure comprises millions of virtual machines, producing terabytes of logs and processing exabytes of data daily. Given our scale, we routinely encounter faults in cloud hardware, networks, and operating systems, and our software must adeptly shield our clients from these issues. In the role of Performance Engineer, you will collaborate extensively with various teams across the organization to assess the performance of products and features. You will identify performance bottlenecks and partner with engineers to address performance and scalability challenges. This includes establishing performance targets for different software releases, guiding teams in developing performance benchmarks, conducting competitive benchmark analyses for various Databricks products, and performing in-depth analyses to diagnose and rectify performance issues.

Your Role:Join our dynamic DevOps team at Moveworks, where you'll play a pivotal role in developing and scaling our AI cloud infrastructure and developer platform. As we rapidly expand, your expertise will be essential in creating and maintaining robust foundational services and frameworks, enabling our engineering teams to deliver customer-facing features swiftly and efficiently.We are committed to speed and innovation, tackling complex engineering challenges while delivering exceptional value to our clients. You will collaborate closely with machine learning, search, product, data, and full stack teams to craft elegant solutions that meet our evolving needs. This is a unique opportunity to contribute significantly to one of the fastest-growing AI startups in the industry.Engage with various teams including platform, machine learning, search, data, and frontend to assess their DevOps and infrastructure requirements, influencing our DevOps roadmap and spearheading project execution.Architect, build, and oversee the Moveworks cloud infrastructure across multiple regions and clouds, ensuring optimal security, scalability, performance, observability, resilience, and cost-efficiency.Develop and manage CI/CD pipelines utilizing infrastructure as code and full automation for provisioning and managing the Moveworks application stack across diverse environments.Collaborate with our security team to enhance the infrastructure's security posture.

Join Nuro as a Senior Software Engineer, where you will play a pivotal role in enhancing our performance tooling and infrastructure. You will work on cutting-edge technologies to optimize our systems for efficiency, scalability, and performance. If you are passionate about building robust software solutions and driving innovation, we want to hear from you.

Waymo is seeking a passionate and experienced Senior Backend Engineer to join our Fleet Infrastructure team. In this role, you will be responsible for designing, developing, and maintaining robust backend systems that support our fleet of autonomous vehicles. You will work collaboratively with cross-functional teams to ensure that our technology meets the highest standards of performance and reliability.

Join the dynamic team at matx as an Infrastructure Engineer, where you will play a pivotal role in designing, implementing, and maintaining cutting-edge infrastructure solutions. We are looking for innovative thinkers who thrive in a fast-paced environment and are passionate about leveraging technology to drive efficiency and performance.

Who We Are Nuro is a pioneering self-driving technology company dedicated to making autonomy accessible to everyone. Established in 2016, Nuro is revolutionizing transportation with the most scalable autonomous driver, integrating advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to cater to various applications, including robotaxis, commercial fleets, and personal vehicles. With years of proven self-driving deployments, Nuro provides automakers and mobility platforms a clear pathway to commercial-scale autonomous vehicles, fostering a safer, more connected future. About the Role We are in search of a Senior/Staff Software Engineer to take on a pivotal technical leadership role in Nuro’s Machine Learning (ML) Data engine. You will be positioned at the crucial intersection of Autonomy, Machine Learning, and Infrastructure, serving as an architect for the systems that power our autonomy AI models. In this role, you’ll collaborate with the Autonomy team to implement the technical strategy to convert vast amounts of autonomy data into high-value training signals for decision-making. Your responsibilities will include designing and constructing data products for autonomy researchers, developing queries for rare 'needle-in-a-haystack' scenarios, and automating labeling and data ingestion workflows. You will work closely with Autonomy ML researchers to grasp their data needs, cooperate with infrastructure teams to establish the appropriate data interfaces and APIs, and develop robust tools for data selection, simulation, and introspection, all capable of handling data at scale. If you thrive on solving complex problems with practical solutions that impact the real world, we invite you to join us. About the Work Data Pipeline Architecture: Design and implement scalable data ingestion and processing pipelines that transform data streams into targeted training datasets. Lead efforts to enhance data quality, identify anomalies, and manage out-of-distribution examples to ensure effective model training and deployment. Cross-Functional Leadership: Collaborate with autonomy teams and data infrastructure teams to create effective ML data pipelines and products for ML engineers. ML Tooling & Introspection: Build infrastructure and visualization tools that enable ML researchers to easily introspect data, identify model failure modes, request new data samples, and comprehend shifts in data distribution. Labeling Operations Integration: Work closely with the data operations team to establish quality standards for labeling operations.

Waymo is a pioneering company in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has been on a mission to develop the Waymo Driver—The World’s Most Experienced Driver™—which aims to enhance mobility access and prevent the thousands of fatalities caused by traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hail service and is adaptable to various vehicle platforms and applications. With more than ten million rider-only trips completed, our technology has successfully navigated over 100 million miles on public roads and simulated tens of billions of miles across more than 15 U.S. states.The Perception team is responsible for creating the systems that learn the spatial-temporal representation and semantic meanings of the environment surrounding the autonomous driving vehicle (ADV). Our work involves close collaboration with downstream teams to optimize and integrate these systems into the Waymo Driver. We actively conduct research to solve real-world challenges and partner with research teams at Alphabet. With access to millions of driving data miles collected from a variety of sensors, our engineers have the opportunity to (1) devise methods for continuous learning from large-scale real-world data, (2) build and train models at scale, (3) analyze real-world behavior and develop systems to manage complex interactions with the environment, and (4) refine models for our onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager.

Waymo is a pioneering autonomous driving technology company with a vision to become the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, we have dedicated ourselves to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while preventing countless lives lost in traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hailing service and can be adapted to various vehicle platforms and product use cases. To date, the Waymo Driver has successfully completed over ten million rider-only trips, backed by its extensive experience of autonomously navigating over 100 million miles on public roads and tens of billions of miles in simulation across more than 15 U.S. states.The Perception team is responsible for creating the systems that interpret spatial-temporal representations and their semantic meanings of the environment surrounding the self-driving car. We collaborate closely with downstream teams to optimize and integrate these systems into the Waymo Driver. Our team conducts innovative research to solve real-world challenges and partners with research teams at Alphabet, leveraging millions of miles of driving data from a diverse range of sensors. This enables our engineers to (1) devise methods for continuous learning from large-scale real-world data, (2) design and scale model training, (3) analyze real-world behavior and develop systems for managing real-world complexities, and (4) optimize models for our onboard and offboard hardware.In this hybrid role, you will report to a Senior Staff Technical Lead Manager.

Waymo is a pioneering autonomous driving technology firm on a mission to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has been dedicated to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while aiming to save thousands of lives lost in traffic accidents. The Waymo Driver serves as the backbone for our fully autonomous ride-hail service and has the potential to be integrated across various vehicle platforms and applications. With over ten million rider-only trips facilitated by its extensive experience of more than 100 million miles driven autonomously on public roads and tens of billions of miles in simulation across over 15 U.S. states, Waymo is at the forefront of autonomous technology.At Waymo, machine learning models form the essence of our fully autonomous driving capabilities. These models empower the Waymo Driver to interpret its surroundings, make accurate decisions, and transport individuals safely to their destinations. We tackle intricate technical challenges in perception, planning, and control, collaborating closely with hardware and systems engineers. If you are passionate about Level 4 autonomous driving, we would love to connect with you.As an intern at Waymo, you will collaborate with industry leaders on impactful projects that contribute significantly to our mission. We believe in a reciprocal learning experience: you will apply your expertise while gaining opportunities to expand your skill set. Interns are integral to our culture and serve as a vital part of our talent pipeline. Join Waymo for an engaging and fulfilling internship experience!This internship will be conducted on-site at our headquarters in Mountain View, CA.

Join Waymo as a Senior Software Engineer specializing in Onboard Software Integrity Infrastructure. In this role, you will develop and enhance software systems that ensure the reliability and safety of our autonomous vehicle technology. You will collaborate with cross-functional teams to design and implement solutions that uphold the highest integrity standards in software performance.