Staff Quality Engineer Jobs

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role The Autonomy ML Infrastructure team is responsible for building & improving the core infrastructure for autonomy teams at Nuro. In this role, you will work closely with teams across Nuro, to design, build and deploy core infrastructure components in machine learning model life cycle, to push the autonomous future forward. You will have an opportunity to work across the full stack of machine learning solutions - from designing robust and scalable model pipelines to building to deploying the optimized models on Nuro’s fleet of self-driving robots! About the Work Optimize Nuro’s autonomy stack with cutting-edge optimization techniques like quantization, distillation, and model compression. Work with autonomy engineers to optimize, validate, and deploy large language models. Develop and maintain a world-class model compiler framework, FTL . Write robust, high quality software to increase our confidence in our vehicle

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors About the Role Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data. The team plays a crucial role in the advancement of autonomous driving systems by ensuring teams have access to high-quality labeled data. This is facilitated by a comprehensive labeling stack featuring a workflow execution framework, supporting infrastructure, and a suite of data annotation tools. Nuro’s autonomy stack utilizes an industry-leading sensor suite. Our tools must handle the efficient processing and annotation of millions of points of sensor data. Our labeling infrastructure supports millions of scenes weekly. The platform team’s mission is to make labeled data accessible for all of our users. The system must be reliable and scalable. This includes everything from request submission to p

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. About the Role: Join our Product Engineering team to develop AI and Machine Learning solutions that transform semiconductor workflows. This role focuses on model development and agentic AI applications, enabling smarter testing, faster yield advancement, and engineering automation to improve cost, cycle time, and quality. This is a ground-breaking opportunity to work on modern technologies and make a significant impact in a world-class company! You will also train and guide Citizen Data Scientists (CDS or equivalent experience) within Product Engineering, helping them apply advanced ML techniques and analytics tools to gain domain-specific insights. Key Responsibilities: Machine Learning Development: Build predictive models for yield, test time, and reliability analysis using structured/tabular data Use advanced machine learning techniques to analyze complex datasets and generate actionable insights that improve manufacturing and operational performance Build and validate ML workflows for large-scale semiconductor datasets Agentic AI Solutions: Develop intelligent agents to automate engineering tasks (e.g., test program validation, yield analysis, report generation) Integra

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are looking for Facility Experts of different facility systems, including Electricity, Water, Gas, Chemical, Exhaust, Mechanical, and CSA, and Project management. The Facility Expert is responsible for planning, designing, and overseeing electrical systems and infrastructure within plant, office, and production environments. This role ensures optimal facility performance, compliance with safety and building codes, and cost-effective operations. The expert will collaborate with internal teams and external engineering firms to deliver high-quality electrical solutions that support business objectives. Key Responsibilities: Facility Planning & Design Plan and implement electrical system changes for plant, office, and production equipment layouts. Ensure designs maximize operational efficiency and comply with applicable laws, regulations, and safety standards. Coordination & Documentation Work closely with architecture and engineering firms to develop design criteria and prepare detailed electrical layouts and drawings. Prepare bid sheets, technical specifications, and contracts for electrical construction and facility acquisition projects. Cost Estimation & Budgeting Review and estimate design costs, including equipment, installation, labor, materials, and related expenses. Prov

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Merchant Experience team builds the UI operating system and core experiences that power decades of growth for millions of businesses globally, enabling Stripe to be the business SaaS solution of choice for next-gen companies. We own the foundational platforms and product surfaces that merchants interact with every day - from the Stripe Dashboard to the frameworks and tooling that hundreds of Stripe engineers use to build world-class user interfaces. We're at an inflection point. AI is fundamentally changing how users interact with software, and we believe Stripe is uniquely positioned to reimagine what a merchant experience looks like in an AI-native world. At the same time, we're raising the bar on the quality and performance of everything we ship - because the millions of businesses that depend on Stripe deserve an experience that is fast, reliable, and crafted with care. What you'll do As a Senior Staff Engineer on the Merchant Experience team, you'll be a technical leader across 50+ Engineers responsible for shaping the next generation of how Stripe merchants interact with our products. You'll drive a step-function improvement in the quality and performance of our core surfaces, and help define what AI-powered merchant experiences look like at Stripe. Responsibilities Define technical strategy for merchant-facing experiences across Stripe, with a focus on quality, performance, and the integration of AI into core user workflows Lead t

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. As a small team, we’re all generalists that work across the full stack (built in Typescript end-to-end). We’re looking for experienced engineers that thrive in an environment of autonomy and individual responsibility to help us build the future of product development. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the US and Europe. You can work from anywhere within these regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Work closely with founders and design to implement new concepts and ideas Build AI-powered functionality into the core of Linear Update our realtime collaborative content editor used across all internal surfaces Build new user-facing features with beautiful and scalable UI components Obsessively improve application performance Refine our software development processes to keep the team operating at high velocity What we're looking for 5+ years of experience building customer-facing products at a high-quality software company Strong React and TypeScript fundamentals, with experience across the full stack (Browser technologies, Node, GraphQL, PostgreSQL) Track record of driving complex, end-to-end features (not just incremental improvemen

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ 🌏 Location: You can choose to work in Qonto as long as you're living in (or willing to relocate to) either Germany, France, Italy, Serbia, Portugal, or Spain. Join us as a Backend Engineer to craft polished user experiences, highly scalable APIs and robust banking services, all to help create the finance solution all businesses love. As a Backend Engineer, you will be part of a team of 180 highly skilled back-end engineers from all over the world. You will work closely in cross-functional teams to shape our finance solutions. You will also take part in the direction of our banking product, manage how we will handle our ever-growing user base needs, and deliver high-quality products in a fast-paced environment. 👩‍💻🧑‍💻 As a Backend Engineer at Qonto,

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. As a small team, we’re all generalists that work across the full stack (built in Typescript end-to-end). We’re looking for experienced engineers that thrive in an environment of autonomy and individual responsibility to help us build the future of product development. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the US and Europe. You can work from anywhere within these regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Work closely with founders and design to implement new concepts and ideas Build AI-powered functionality into the core of Linear Update our realtime collaborative content editor used across all internal surfaces Build new user-facing features with beautiful and scalable UI components Obsessively improve application performance Refine our software development processes to keep the team operating at high velocity What we're looking for 5+ years of experience building customer-facing products at a high-quality software company Strong React and TypeScript fundamentals, with experience across the full stack (Browser technologies, Node, GraphQL, PostgreSQL) Track record of driving complex, end-to-end features (not just incremental improvemen

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. As a small team, we’re all generalists that work across the full stack (built in Typescript end-to-end). We’re looking for experienced engineers that thrive in an environment of autonomy and individual responsibility to help us build the future of product development. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the US and Europe. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Build new user-facing features with everything from database models to GraphQL resolvers and UI components Optimize our data synchronization stack by applying better serialization protocols Add real-time collaborative editing to our content editor Improve performance by profiling and tweaking virtualized list rendering Add analytics, monitoring, and alerts to our service so that we can better respond to operational incidents Open-source any non-trivial innovations that come out of our work on the product Redefine best-in-class software development processes so that we can build a purpose-built product. What we're looking for 5+ years of experience building customer-facing products at a high-quality software company Strong React and Typ

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ 🌏 Location: You can choose to work in Qonto as long as you're living in (or willing to relocate to) either Germany, France, Italy, Serbia, or Spain. Mission: Join us as a Frontend Engineer to craft the web apps that 600,000+ European SMEs rely on every day, from the customer-facing features that make finance simpler to the design system powering every pixel of our product. ➡️ As a Frontend Engineer at Qonto, you will Craft new features for our customers within a squad Team, owning quality from design to production. Grow in technical leadership: lead design discussions, contribute to guild-wide improvement, and raise the bar for developer experience across your peers Be a key player in teamwork with Product, Design, and other Tech stacks Work AI-first: use

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine le

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! In September 2026 we raised a $350 million Series E at a $3.5 billion valuation , and we are scaling our engineering and research teams to meet demand. The role Frontier AI data is expensive to make and hard to measure. Every task we deliver is tested against the strongest models, often through many long-running agent rollouts. Your job is to make that process faster, cheaper, and more rigorous with ML and AI You will be one of the early members of ML & Research Engineering at Snorkel. You will study how frontier-grade data is generated and evaluated, form hypotheses, validate them against real production data, and ship the winners at scale. You will shape the discipline's direction, its standards, and the team that grows around it. What you'll work on Efficient agentic evals. Cut the cost of long-horizon agent evaluation with adaptive sampling, statistically grounded early stopping, model cascades, caching, and cheap-first gating. AI model routing. Route every eval and judge call to the cheapest model that clears the quality bar, with fallback, monitoring, and cost attribution. Fine-tuned small models. Fine-tune and serve open-weight models (LoRA and other parameter-efficient methods) where they match frontier quality, and know when they don't. Predictive difficulty. Build models that estimate how hard a task is for frontier systems before running a single rollout. Measurement for AI data. Build golden datasets, quantify the accuracy and calibratio

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Engineering team is responsible for building out the platforms, API’s, services, workflows, and logical architectures for bringing this vision to life. We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions. You’ll work closely with our Data Scientists on projects to analyze and observe world-scale datasets, write code that can scale to produce never-before-seen insights, and construct APIs to deliver our product vision. Your Responsibilities Ingest product requirements, define technical requirements, and design practical, iterative technology designs that achieve our product and technical goals. Work with your product manager to develop implementation plans against our technical product roadmaps. Personally maintain, develop, and deploy our customer facing workflows to create and support our overall product architecture. Analyze and propose technical solutions to invent, enable, and enhance our product offerings. Be responsible for automating, testing, and deploying your own and your team’s work. Review the code and technical designs authored by your team members, and hold a high bar for quality. Mentor developers and help them level up their skills. Be responsible for the technical excellence of day-to-day work of a team of engineers and ensure that the team’s deliverables are maturing along the defined roadmap. Drive technical decision-making and problem-solving across the team, ensuring solutions are efficient, scalable, and maintainable. Identify technical and operational gaps for the team and create plans and work items to address them. Serve as the domain expert for a portion of th

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities Data Pipeline Engineering: Build scalable ingestion pipelines for structured, semi-structured, and engineering data sources. Workflow Orchestration: Develop reliable batch, scheduled, and event-driven workflows using Apache Airflow and cloud-native services. ETL / ELT Frameworks: Implement reusable pipeline patterns, transformations, incremental ingestion, and data quality checks. Schema Management: Implement schema registry, schema versioning, schema evolution, and compatibility controls. Delta Detection: Build change detection and incremental refresh mechanisms for efficient large-scale data synchronization. Entity Extraction: Extract and normalize key identifiers such as Lot, Die, Wafer, Test, Flow, Product, and Step. Cloud Landing Zones: Set up secure AWS, GCP, and on-prem landing targets for validation and analytics pipelines. <

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Summary Department Introduction: The Systems Integration Group (SIG) develops advanced test solutions that support semiconductor manufacturing and product quality. The team partners across engineering, operations, procurement, and external suppliers to design, build, and deploy innovative hardware platforms that enable reliable testing and validation of semiconductor devices. Position Overview: As an Electrical Design Engineer, you will design and develop electronic hardware used in advanced semiconductor test systems. You will apply electrical engineering principles to create analog, power, and mixed-signal solutions that support manufacturing and product development. This role spans the full hardware development lifecycle, from concept and design through validation, deployment, and sustaining support. You will collaborate with cross-functional teams around the world to deliver reliable, high-quality test solutions. Responsibilities Design analog, power, and mixed-signal electronic circuits from concept through implementation and validation Evaluate and select electronic components to meet system performance, reliability, and cost objectives Develop schematics and collaborate with PCB designers to create optimized board layouts Perform circuit simulation, analysis, and design verification using industry-standard tools Debug, test, and validate PCB assemblies using laboratory equipment such as oscilloscopes, power supplies, and electronic loads Create a