Senior/Staff Software Engineer for Machine Learning Data

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 applicatio…

Please complete the attached Internal Transfer Request Form and submit.Ensure that you apply using your Coupang email address.This role is open to both Mountain View and Seattle locations.At Coupang, we are dedicated to astonishing our customers. When we hear our customers exclaim, “How did we ever live without Coupang?” we know we are on the right track. Fueled by a commitment to simplify shopping, dining, and living, we are revolutionizing the multi-billion-dollar e-commerce sector from the ground up. As one of the fastest-growing e-commerce companies, we are seeking passionate individuals to join our innovative team.

Join our innovative team as a Staff Software Engineer specializing in Android development. In this crucial role, you will collaborate with cross-functional teams to design, develop, and enhance cutting-edge mobile applications that impact millions of users globally. Your expertise in Android technologies will drive the success of our projects and contribute to our mission of connecting professionals.

About NuroNuro is a pioneering self-driving technology firm dedicated to making autonomous solutions accessible to everyone. Established in 2016, Nuro is on a mission to create the most scalable self-driving driver, integrating advanced AI with automotive-grade hardware. Our innovative technology, known as the Nuro Driver™, is licensed to support a myriad of applications, from robotaxis and commercial fleets to personal vehicles. With years of proven technology through extensive self-driving deployments, Nuro offers automakers and mobility platforms a clear pathway to fully autonomous vehicles at a commercial scale—shaping a safer, more enriched, and interconnected future.Role OverviewAt Nuro, we adopt a machine-learning-first approach to our autonomous driving technology. In such a system, the performance hinges on the quantity and diversity of training and evaluation data.Your team will play a pivotal role in enhancing autonomous driving systems by developing a scalable and reliable data infrastructure. This infrastructure will generate training and evaluation data sourced from both real-world logs and simulation logs. Furthermore, close collaboration with system engineers is essential to validate our autonomous driving systems comprehensively before deployment.Key ResponsibilitiesDesign and develop integrated, introspectable, large-scale batch and streaming data processing systems that can handle varied data relevant to evaluation.Create a robust storage system capable of managing both high volumes and diverse performance metrics.Build intuitive dashboards and reports to display evaluation outcomes, enabling clear comparisons that illustrate both advancements and setbacks.Design and implement complete end-to-end data pipelines that ensure a seamless transition from data ingestion to final consumption.Establish and sustain continuous testing and monitoring systems to uphold the integrity and reliability of our data and its associated pipelines.

P-1126 Summary At Databricks, we are committed to empowering data teams to tackle some of the most complex challenges facing the world, from security threat detection to the development of innovative cancer treatments. We achieve this by developing and managing a state-of-the-art data and AI infrastructure platform, allowing our clients to concentrate on the high-impact issues that are critical to their goals. Our engineering teams craft advanced technical products that address significant and real-world needs. We consistently push the limits of data and AI technology while ensuring the resilience, security, and scalability that are essential for our customers' success on our platform. Clients entrust Databricks with their most sensitive data, and our Trust & Safety team is dedicated to creating the most secure data analytics and machine learning platform globally. The Security Engineering division plays a vital role in safeguarding customer data from malicious actors, and we are seeking visionary senior leaders to shape and define our strategy in this domain.

At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging problems—from transforming the future of transportation to expediting medical breakthroughs. We achieve this by creating and managing the most advanced data and AI infrastructure platform, enabling our customers to extract deep insights from data to drive business success. Founded by engineers with a strong customer focus, we eagerly embrace every opportunity to confront technical challenges, whether it’s designing next-generation UI/UX for data interfacing or scaling our services and infrastructure across millions of virtual machines. And we’re just getting started.The Logging Platform team is pivotal in developing scalable and efficient logging solutions that enhance observability across all Databricks services. As a Staff Software Engineer, you will spearhead the evolution of our logging infrastructure, empowering engineers throughout the company to gain profound insights into system behavior, troubleshoot issues efficiently, and optimize performance at scale.

Waymo is at the forefront of autonomous driving technology, committed to becoming 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 while significantly reducing traffic-related fatalities. Our Waymo Driver powers a fully autonomous ride-hailing service and is adaptable to a diverse array of vehicle platforms and applications. With over ten million rider-only trips and experience from more than 100 million miles driven autonomously on public roads, Waymo is shaping the future of transportation.Our simulation environment is among the most sophisticated ever created, utilizing deterministic logic, physical dynamics, and cutting-edge Generative AI to establish a training ground for the Waymo Driver. The Simulator Evaluation team tackles the challenging question: How can we mathematically validate that a virtual world is perceptibly 'real'?We are on the lookout for a Staff Software Engineer who will take on the role of Technical Architect in this field. You will operate at the intersection of software engineering and AI, ensuring our simulated environments—whether governed by explicit rules or foundational models—accurately reflect reality.In this Staff-level position, you will report directly to a Senior Staff Software Engineering Manager and function as a Technical Lead, connecting intricate technical metrics with overarching product strategies.Your Responsibilities Will Include:Architecting Evaluation Standards: Define the 'Definition of Done' for simulation realism, anticipating product objectives (e.g., operational capabilities in snow or highway driving) and designing the evaluation roadmap to ensure our simulation fidelity evolves in alignment with onboard requirements.Acting as the System Critic: Create comprehensive mathematical frameworks to validate our hybrid virtual world, determining the balance between diverse evaluation needs—from verifying logical rules and dynamics to assessing the distribution quality of generative AI models.Building at Scale: Lead the development of large-scale, extensible evaluation platforms (in C++/Python), ensuring our metric pipelines are robust distributed systems capable of delivering clear, reproducible insights on petabytes of data.Providing Strategic, Cross-Functional Leadership: Serve as the technical liaison across various organizations, closely collaborating with AI research and other simulation teams. The evaluation workflows you design will facilitate rapid innovation and inform research trajectories.

About UsAt Aurora, our mission is to revolutionize transportation through safe and efficient self-driving technology, making it accessible to everyone.Explore the Aurora Driver and discover how we are paving the way for a new era in mobility and logistics.Join our team of dedicated professionals at Aurora, where you will engage in complex challenges and continuously enhance your expertise in a collaborative atmosphere. For updates, visit aurora.tech or connect with us on LinkedIn.We are on the lookout for a skilled and driven Staff Software Engineer to spearhead a new team focused on enhancing and modernizing our Offline Testing Infrastructure (OTI). OTI serves as a vital middle-layer infrastructure that supports our PR testing, test creation, and Verification & Validation (V&V) processes.This role is critical, with a strong emphasis on increasing the efficiency of our engineering teams and ensuring the reliability of our release cycles. The ideal candidate will build and lead a small, dedicated team to transition OTI to a stable, high-performance, and scalable platform.Responsibilities:Team Leadership: Act as the technical lead for the OTI team, guiding the strategic vision, execution, and long-term stability of our core infrastructure.Testing Ecosystem Development:Design a next-generation offline testing architecture that meets diverse team requirements, minimizes redundancy, and fosters collaboration across the organization.Collaborate with Test Creation and Test Drive teams to...

Harness is revolutionizing software delivery with its AI-driven platform, spearheaded by visionary technologist and entrepreneur Jyoti Bansal, the founder of AppDynamics which was acquired by Cisco for $3.7B. With an impressive funding of approximately $570M and a valuation of $5.5B, we are backed by leading investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. As AI transforms code creation, we recognize that the main bottleneck now lies in post-code processes—testing, deployment, application security, reliability, compliance, and cost optimization. Harness harnesses AI and automation to streamline this crucial “outer loop,” empowering teams to deploy software at speed while ensuring robust security and governance throughout the software delivery lifecycle.Utilizing Harness AI and our Software Delivery Knowledge Graph, the Harness Platform delivers deep contextual insights and intelligent automation across the software delivery lifecycle, embedding governance and policy-driven controls throughout the platform.In the past year, Harness has facilitated over 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, and 3 trillion protected API calls while managing $2.8 billion in cloud expenditures. Our customers, including United Airlines, Morningstar, and Choice Hotels, have experienced a remarkable acceleration in release speeds by up to 75% and reductions in cloud costs by up to 60%, achieving a tenfold increase in DevOps efficiency.With a diverse team distributed across 14 offices in 25 countries, Harness is at the forefront of shaping the future of AI software delivery—and we are on the lookout for exceptional talent to accelerate our journey.Position SummaryThis role falls under the AppSec Foundations charter, concentrating on the design and development of core authentication, authorization, and common services infrastructure that supports Harness's security ecosystem. The team is tasked with constructing foundational Role-Based Access Control (RBAC) systems, implementing service-to-service authentication, audit logging, and common security services to facilitate secure access across all Harness modules, including the AppSec Platform, CI/CD, and other offerings.The Foundations team acts as the security cornerstone for Harness’s multi-product platform, providing vital authentication and authorization services that guarantee secure, scalable access management throughout the software delivery lifecycle.

Who We Are At Otter, we are passionate about transforming the restaurant industry through innovative technology. As a leader in online food delivery solutions, we empower restaurateurs to thrive in a digital landscape. Our commitment to enhancing the dining experience has earned the trust of thousands of restaurants globally, including renowned brands like Chick-fil-A, Ben & Jerry’s, and Eataly. Join us in our mission to simplify and streamline delivery operations for restaurants, ensuring they can focus on what they do best—creating unforgettable dining experiences. What You’ll Do As a pivotal member of our team, you will work on our Menu Platform, which serves as the backbone of menu management across various delivery channels and point-of-sale systems. Your contributions will directly impact the efficiency and effectiveness of operations for over 150,000 restaurants worldwide. Develop data-driven features that enhance dynamic menu operations. Engage in planning and strategy for internal tools and platforms. Design, implement, and rigorously test backend services using agile methodologies. Collaborate closely with cross-functional teams including engineering, product management, and customer support. Ensure high-quality code through meticulous writing, debugging, and maintenance across multiple projects. Architect scalable systems capable of handling large, distributed workloads. Enhance platform reliability, performance, and overall developer experience. Drive innovation and continuously explore new technologies.

Reliable Robotics is looking for a Software Engineer to join the Communication Systems team in Mountain View, CA. This role centers on developing and refining the communication solutions that enable autonomous systems to connect and function reliably. Role overview The work in this position shapes the way robotics technology communicates and operates in real-world settings. Projects will focus on the systems that support seamless information exchange between autonomous platforms. Location This position is based at the Mountain View, CA office.

Role Overview Nuro is looking for a Software Engineer focused on Onboard Systems to help build and refine the software powering autonomous delivery vehicles. This position is based at Nuro's headquarters in Mountain View, California. What You Will Do Design and implement software for onboard vehicle systems Work closely with team members to improve reliability and efficiency of onboard technology Contribute to the development of solutions that support autonomous vehicle operations Collaboration Work alongside engineers and other specialists who are committed to advancing autonomous delivery. Expect to share ideas, solve problems together, and help shape the future of Nuro's onboard systems.

About GranicaGranica is a pioneering AI research and infrastructure firm dedicated to creating reliable, steerable representations for enterprise data.We build trust through Crunch, a policy-driven health layer that ensures large tabular datasets are efficient, reliable, and reversible. Leveraging this foundation, we are developing Large Tabular Models—systems designed to learn cross-column and relational structures, providing trustworthy answers and automation with inherent provenance and governance.Engineering Manager – Foundational Data Systems for AILocation: Mountain View, CA (in-office, 5 days a week)Team: Foundational Data SystemsRole OverviewWe are seeking an Engineering Manager to spearhead Granica's Foundational Data Systems—the essential infrastructure layer upon which all other systems rely.You will oversee a globally distributed team of approximately 15-20 senior engineers based in the US, India, and Canada, with direct accountability for long-lived systems encompassing storage, metadata, and distributed computing. This role transcends traditional people management; it is a hands-on leadership position with significant architectural influence, responsible for crafting systems that must be accurate, durable, and efficient at an enterprise scale.The systems developed by this team are pivotal in determining Granica’s ability to convert cutting-edge research into dependable products, ensuring our customers trust the data foundations that their analytical and AI workloads rely upon.This position is perfect for a technically adept leader who is passionate about team building, designing long-lasting systems, and operating with high levels of trust and ownership.Why This Role MattersContemporary AI and analytics systems face constraints not from models, but from the inefficiency and fragility of the underlying data infrastructure. Redundant data layouts, fragile metadata, and costly execution paths lead to increased expenses, slower iterations, and operational risks.Granica’s mission is to eliminate these inefficiencies at the foundational level.We engineer self-optimizing data systems that perpetually reorganize, compress, and manage structured data to remain efficient, reliable, and reversible as it evolves. These systems act as a resilient substrate for analytics, automation, and AI workloads—where accuracy, provenance, and governance are paramount.

Join Waymo as a Staff Software Engineer specializing in Simulation Capacity Optimization. In this pivotal role, you will leverage your expertise in software engineering and simulation technology to enhance our autonomous vehicle systems. Your contributions will be vital in optimizing the performance and efficiency of our simulations, ensuring that our vehicles are equipped to navigate the complexities of real-world environments.

Join Unity Technologies as a Staff Software Engineer specializing in AI Authoring. In this pivotal role, you will be at the forefront of developing innovative AI-driven solutions that enhance our platform's capabilities. Collaborate with cross-functional teams to design, implement, and optimize AI authoring tools that empower creators worldwide.

About the RoleJoin our dynamic team of experts where machine learning and systems engineering intersect to enhance the performance of autonomous systems. As a Senior Software Engineer specializing in Perception Machine Learning Data, you will play a crucial role in integrating machine learning advancements with autonomy infrastructure, ensuring that our models are trained using the most pertinent, diverse, and high-quality datasets. Your contributions will significantly influence how autonomous systems recognize uncommon scenarios, adapt to various geographical contexts, and operate safely at scale.Key Responsibilities Include:Utilizing Vision Language Models (VLMs) to compile diverse datasets that reflect real-world driving patterns across different regions.Creating high-fidelity synthetic data frameworks across multiple sensor modalities.Enhancing machine learning-powered validation processes for data quality and model preparedness.Your Impact:High-Output Generalist: Collaborate across various domains including autonomy, infrastructure, databases, simulation, and machine learning development, while expanding your expertise in Robotics and ML.Robotics Specialist: Develop cutting-edge solutions for data discovery, automated labeling, and synthetic data generation in close cooperation with the Infrastructure and Autonomy teams.About the WorkTackle the most demanding data challenges in autonomy by applying machine learning and rigorous systems engineering principles:Design hybrid systems that combine deep learning with traditional algorithms for scalable data curation and annotation.Create frameworks to evaluate the real-world authenticity of synthetic data and enhance the quality of synthetic data rendering.Develop tools to automatically identify data gaps that affect the performance of perception models.Collaborate with autonomy engineers to transform raw sensor data into prioritized training objectives, addressing critical gaps that hinder perception and autonomy performance.About YouBachelor’s degree in Computer Science, Robotics, Statistics, Physics, Mathematics, or a related quantitative field.Experience:4+ years of professional software engineering experience, proficient in Python and familiar with C/C++. Demonstrated ability to lead cross-functional technical projects from conception to execution.You have hands-on experience in implementing machine learning solutions and enjoy embedding them into practical systems. Your focus is on delivering impactful, integrated solutions rather than solely theoretical ML projects.Bonus PointsExperience working with synthetic or autonomous driving data.Background in building machine learning systems for robotic applications.

About Us Nuro is a pioneering self-driving technology company dedicated to making autonomous solutions accessible to everyone. Established in 2016, we are developing the most scalable autonomous driver by integrating advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate a variety of applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from years of self-driving deployments, Nuro provides automakers and mobility platforms with a clear pathway to achieving commercial-scale autonomous vehicles, promoting a safer, more connected future. Role Overview At Nuro, we adopt a machine-learning-first strategy in our approach to autonomous driving technology. The performance of our systems is significantly influenced by the quality and diversity of training and evaluation data. Your team will be pivotal in enhancing our autonomous driving systems by establishing a robust and scalable data infrastructure. This infrastructure will generate training and evaluation data from both real-world driving logs and simulated environments. Collaborating closely with system engineers, you will ensure thorough validation of the autonomous driving system prior to deployment. Key Responsibilities Design and implement cohesive, introspectable data pipelines capable of processing large-scale batch and streaming data across diverse evaluation use cases. Develop a storage solution that efficiently manages extensive volumes and a wide variety of performance metrics. Create user-friendly dashboards and reports to display evaluation results, enabling easy comparisons to highlight improvements and regressions in ML components and the overall system. Establish and maintain continuous testing and monitoring systems to ensure the integrity and robustness of our data and data pipelines. Build data mining tools utilizing applied ML techniques to meet data discovery requirements in areas such as Perception, Behavior, and Mapping. Develop data annotation tools to aid both first-party and third-party labeling efforts, ensuring high-fidelity perception, mapping, and trajectory labels. Scale data annotation labels with cutting-edge ML techniques. Qualifications A degree in Computer Science, Engineering, or a related field (BS, MS, or PhD) combined with at least 4 years of relevant professional experience. Strong programming skills in Python or similar languages. Experience in data engineering, machine learning, or related fields. Familiarity with data pipeline tools and frameworks. Ability to work collaboratively in a fast-paced, innovative environment.

About UsNuro is a pioneering self-driving technology firm dedicated to making autonomous driving a reality for everyone. Established in 2016, we are on a quest to develop the world's most scalable self-driving solution, integrating advanced AI with high-quality automotive hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate diverse applications, including robotaxis, commercial fleets, and personal vehicles. With extensive experience gained from multiple self-driving deployments, Nuro provides automakers and mobility platforms a clear pathway to achieve commercial-scale autonomous vehicles, fostering a safer, more connected future.Role OverviewThe Routing Team is responsible for creating essential services that guarantee the Nuro Driver™ reaches its destinations in a safe and efficient manner. We are dedicated to continuously enhancing our routing engine to optimize route calculations, deliver precise ETAs, and manage scalable traffic for all journeys, adapting to our expanding business and evolving mapping infrastructure.Key ResponsibilitiesDevelop and scale backend systems and onboard modules for the Routing team, including designing microservices, optimizing routing algorithms, analyzing road network graphs, and establishing monitoring and analytics systems.Collaborate with product, strategy, and operations teams to create innovative user experiences and outline product strategies and roadmaps.

About Us Nuro is at the forefront of self-driving technology, striving to make autonomous driving accessible to everyone. Established in 2016, we are dedicated to developing the world’s most scalable driver by merging advanced artificial intelligence with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed across various applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from years of successful self-driving deployments, we provide automakers and mobility platforms with a clear pathway to commercial-scale autonomous vehicles, paving the way for a safer, more connected future. Role Overview At Nuro, we prioritize a machine-learning-centric approach to autonomous driving. The performance of our systems relies significantly on the volume and diversity of training and evaluation data. Our team is vital in enhancing autonomous driving systems by ensuring high-quality labeled data accessibility. This is achieved through a sophisticated labeling stack that includes a workflow execution framework, supporting infrastructure, and an array of data annotation tools. Our autonomy stack is powered by an industry-leading sensor suite, capable of efficiently processing and annotating millions of sensor data points weekly. The platform team's mission is to ensure that labeled data is readily available for all users. Our systems must be dependable and scalable, encompassing everything from request submissions to progress tracking, data dumping, and model development. We work closely with autonomy engineers to guarantee the labeled data's quality and comprehensiveness. As Nuro expands its services, it becomes increasingly critical to capture and promptly triage all issues. Key Responsibilities Develop and maintain highly available and fault-tolerant systems for data annotation. Productionize core infrastructure for our cutting-edge autonomy system. Enhance label quality through data-driven metrics and monitoring. Leverage state-of-the-art ML research to automate and optimize the data labeling lifecycle. Qualifications Bachelor's or Master's degree in a relevant field with 5+ years of industry experience. Proven experience in designing, building, and operating highly scalable and reliable distributed data systems. Demonstrated ability to lead cross-functional projects with strong communication skills. Expertise in data processing and machine learning techniques.

The OpportunityAre you a seasoned Staff Software Engineer, Backend (Infrastructure) eager to drive transformative change at the convergence of scalable web services and state-of-the-art AI technologies? Join us at Otter.ai, where we are on the lookout for a skilled engineer to spearhead the development, deployment, and oversight of web services and infrastructure that fuel our AI-driven products and initiatives. In our vibrant engineering team, you will collaborate closely with AI researchers, product managers, and technology experts to deliver innovative solutions that significantly enhance the experiences of end-user professionals and enterprise clients across various sectors.Your ImpactUtilize your vast expertise in Python to design and refine backend systems that seamlessly integrate with machine learning and AI functionalities.Craft and execute robust business logic using web frameworks such as Django, ensuring full compatibility with AI components and integration with MySQL.Architect scalable solutions employing technologies like Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to support advanced AI models and workflows.Produce reusable, efficient, and maintainable code that underpins our high-performance applications, delivering exceptional user experiences.