Staff Quality Engineer Jobs

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team: OKX data team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services. As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services. Responsibilities: Build and maintain the data warehouse for the risk control business domain, and develop the thematic metrics/indicator system to support data needs across all risk control business lines. Design and implement the technical architecture for offline and real-time data application services, and optimi

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Staff, Software Engineer(L4) About the job This position is needed to help build IAM products and features our customers will love being part of our amazing Identity Platform Team in Bangalore, India. Our mission is to provide a mission-critical authentication and authorization platform that unlocks secure product experiences that customers love. Responsibilities In this role, you’ll: Design, develop, and implement high-quality Java-based applications and microservices. Collaborate with cross-functional teams to define, design, and ship new features. Participate in code reviews to ensure code quality and adherence to coding standards. Troubleshoot and debug issues to ensure smooth application performance. Own and operate, high-scale cloud based systems and services. Document technical specifications and procedures. Manage your work through the use of Github, Jira, and our build/deploy systems. Qualifications Twilio

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the Role We're seeking a Senior/Staff Engineer to build and maintain the automation infrastructure that powers the development cycles of our North platform. This engineer will design and implement robust automation systems that enable engineers to efficiently test and validate changes across diverse environments and configurations. This role sits at the intersection of infrastructure and standards. You'll build the systems, frameworks, and culture that allow the rest of engineering to own quality themselves; improving and extending our testing platform by creating the infrastructure that allows engineers to write and execute tests, and enable every engineering team to ship with more confidence. Key Responsibilities Design and implement automation pipelines that support comprehensive testing across multiple environments with varying feature flags and realistic customer data profiles Create intelligent testing agents that simulate real user behavior to validate different configuration combinations Develop and maintain GitHub workflows and actions to automate testing, deployment, and validation processes Manage and optimize H

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. 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. Job Summary and Description: The TD MDE Shift Lead Engineer is responsible for coordinating and communicating the area priorities for all process development & operations for assigned areas, ensuring robust shift-level operations that support TD work. This role acts as the critical bridge between real-time shift execution and TD strategic objectives, translating priorities into actionable plans that ensure process stability, yield protection and operational excellence. The Shift lead supervises both Engineers and Technicians as well as coordinate directly with TD 1st Shift team members, HVM Shift Ops Team and multi-functional teams to deliver consistent, high-quality execution aligned to TD work responsibilities include but are not limited to: Responsibilities : Safety & Quality: Finishes the required safety training and adheres to safety and regulatory policies</l

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

P-1549 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. The Mission Databricks agents are only as good as the context they can retrieve. Whether an agent is answering a question about last quarter's revenue, debugging a failing job, generating SQL against a 10,000-table lakehouse, or summarizing a Wiki page, its quality is bounded by what it can find — and how well it understands what it finds. We are hiring a Senior Staff Applied AI Engineer to own context retrieval for Databricks agents across SaaS providers . This is a zero-to-one role with two deeply connected charters: Build the retrieval stack — query understanding, content understanding, ranking, retrieval, and evaluation — across the Enterprise SaaS data stored across multiple systems. Build the search subagents that sit on top of that stack and reason about what context is needed , how to retrieve it , and whether the right thing actually came back — closing the loop between an agent's intent and the substrate that serves it. If you have deep Information Retrieval wisdom, have shipped retrieval systems for RAG and agentic workloads, and want to build the substrate — and the agents on top of it — that make every Databricks agent measurably smarter, this role is for you. What You Will Do Build the full retrieval stack from scratch. Own the end-to-end system: query understanding, content understanding and indexing, hybrid retrieval, ranking, and evaluation. Make the architectural calls that will define how Databricks agents access context for years to come. Retrieve across heterogeneous data — structured and unstructured. Index and rank across structured assets (tables, columns, SQL queri

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

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa About OKX At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team The Frontend Growth Team at OKX focuses on building and optimizing user-facing experiences that drive acquisition, engagement, and retention across global markets. Working closely with product and growth functions, the team develops and enhances features that support affiliate programs, marketing campaigns, SEO, and ASO initiatives. They translate complex growth strategies and business logic into scalable, high-performance frontend solutions. By combining data-driven insights with continuous experimentation, the team supports OKX’s expansion efforts, addressing both global reach and localization needs while improving overall user experience. Responsibilities: Architect, develop and maintain frontend solutions with performance, scalability and continuous integration in mind. Leverage AI coding agents and tools (e.g., Claude Code, Cursor) to accelerate development, improve code quality, and automate repetitive tasks across the team's workflow. Desi

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa About OKX At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team This frontend team builds and supports core platforms that enable both internal operations and customer-facing experiences at OKX. We develop the BOSS (Business Operation Support System) Middle Platform, which provides foundational capabilities such as business gateways, Identity & Access Management (IAM), efficiency components, and security controls—helping business teams operate more effectively and securely. In parallel, we deliver the Customer Genius product suite, focused on customer support solutions including chatbots and automation tools that improve service efficiency and user experience. Responsibilities: Architect, develop and maintain frontend solutions with performance, scalability and continuous integration in mind. Leverage AI coding agents and tools (e.g., Claude Code, Cursor) to accelerate development, improve code quality, and automate repetitive tasks across the team's workflow. Design and maintain reusable AI extens

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

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

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

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . The Data team within Foundation processes data at scale. It builds and operates tools that scan petabytes of data to extract insights. The team builds indices and views for semi-structured data to facilitate analytics, using both in-house and off-the-shelf tools. . The team diligently keeps track of newer services, storage tiers, and various aspects of existing AWS services to take advantage of the continuous evolution of services and use them effectively in the background. As a Sr. Software Engineer, you will be providing technical leadership to create high-quality software by owning low level , design and implementation of services within a product. This role will require excellent communication skills as you will collaborate with Product Management to refine requirements, product architects to propose design changes, and other product owners to drive features to completion with good quality. Key Skill AI first mindset to software development, having experience using genAI during various phases of software development lifecycle from design to code to test using tools like 'cursor' 5-7

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