Staff Quality Engineer Jobs

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. Drive and develop reliability verification with design and product teams by planning, overseeing, and developing stress patterns for increased reliability coverage. Be proficient on product reliability requirements and customer usage conditions for different DRAM products. Perform Verification Processes with Modeling and Simulation Using Industry Standard Simulators. Contribute to Cross Group Communication To Work Towards Standardization And Group Success. Working with Marketing, Quality, And Product Engineering Groups To Ensure Accurate Manufacturability Of Product. Proactively Solicit Guidance From Standards, Cad, Modeling, And Verification Groups To Improve The Design Quality. Drive Innovation Into The Future Memory Generations Within A Dynamic Work Environment. Drive customer usage model alignment across different functional teams. Work with technology teams to ensure high-risk reliability mechanisms are evaluated. Be advised on all silicon reliability related issues. Support product teams during silicon validation and qualification phase. Analyze and debug circuit down to device level in relation to degradation mechanism. Develop and improve reliability verification tools and methodologies. Engage in technical forums for continuous improvement of design for reliability methods. Train and mentor junior engineers. Employer will accept a Bachelor’s degree in Electrical Engineering, Computer Engineering or related field and 60 months of progressive, post-baccalaureate experience in the job offered or in a related occupation. Position r

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 30,000 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. At Linear, we are committed to quality. Security is an essential part of that quality — not a layer that we add later, but something we build in from the start. We have a foundational security program we're proud of but, as Linear evolves our product and scales into enterprise, there's meaningful work ahead: staying ahead of vulnerabilities as our attack surface grows, responding fast and cleanly when incidents happen, and hardening our product and infrastructure. As Security Engineer at Linear, you'll be operating in a high-autonomy role with real scope, doing hands-on security work across the product and infrastructure we build. Location & work mode Linear is a remote-first company. This role is open to candidates based in North America. You can work from anywhere within this region. 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 Depending on your experience / skillset and our broader priorities, you could: Operate, automate, and extend vulnerability management end-to-end: triage, prioritize, and drive remediation across product, infrastructure, and dependencies, and keep the program’s SLAs meaningful rather than theoretical Run our bug bounty program: triage incoming reports, validate severity, work with engineering on fixes, and keep researcher relationships professional an

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team We build enterprise software that helps organizations optimize sales performance and improve go-to-market agility. Our engineering organization includes multiple product application teams responsible for delivering core customer-facing capabilities. We are seeking Staff Software Engineers to join our TQM team. You’ll work alongside other staff, senior, and early-career engineers to design, build, and scale backend and frontend systems that power enterprise-grade product workflows. This is an opportunity to work on complex product and data problems while contributing meaningfully to technical decisions, system quality, and team delivery. We are low on meetings and high on accountability. Most of the team is in the EST time zone, with a few located in AST, PST, and Central as well. What you’ll be doing The TQM team builds the planning layer of Forma.ai ’s platform. TQM stands for Territory and Quota Management. Sales operations teams use it to plan the deployment of large scale sales organizations: divide their target market among sellers, set and communicate targets, and manage changes during the year. Commissions, crediting, and reporting all depend on our data. We build with AI tools every day, so writing code is rarely what slows us down. What matters more is how often a person makes the right call. For the staff role at Forma, that means strong product judgement as well strong technical judgement. You will decide what problem to solve, which customer request s

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team We build enterprise software that helps organizations optimize sales performance and improve go-to-market agility. Our engineering organization includes multiple product application teams responsible for delivering core customer-facing capabilities. We are seeking Staff Software Engineers to join our TQM team. You’ll work alongside other staff, senior, and early-career engineers to design, build, and scale backend and frontend systems that power enterprise-grade product workflows. This is an opportunity to work on complex product and data problems while contributing meaningfully to technical decisions, system quality, and team delivery. We are low on meetings and high on accountability. Most of the team is in the EST time zone, with a few located in AST, PST, and Central as well. What you’ll be doing The TQM team builds the planning layer of Forma.ai ’s platform. TQM stands for Territory and Quota Management. Sales operations teams use it to plan the deployment of large scale sales organizations: divide their target market among sellers, set and communicate targets, and manage changes during the year. Commissions, crediting, and reporting all depend on our data. We build with AI tools every day, so writing code is rarely what slows us down. What matters more is how often a person makes the right call. For the staff role at Forma, that means strong product judgement as well strong technical judgement. You will decide what problem to solve, which customer request s

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are reinventing credit cards entirely. We are working directly with card issuers to change how credit is used throughout the world, creating new types of cards that work for both their everyday lives and large purchases with extremely straightforward, flexible terms. We are looking for a Senior Staff Software Engineer to take on a critical role in defining and leading technical excellence. You’ll partner with other engineering leaders in revolutionizing the way the team works, shaping the culture of engineering across Cards. You will lead from the front on AI while holding the bar high on quality. You’ll collaborate with engineering leaders, create and implement technical strategy across full-stack teams, and coordinate closely with stakeholders to build scalable, reliable, and high-performing solutions. You'll help shape best practices, guide architectural choices, and drive the successful delivery of critical initiatives. This role requires a high level of technical ability, leadership and project management skills, strong cross-functional communication, and a customer-first mindset. What You'll Do Lead the vision – Define the technical direction, long-term technical roadmap, and strategic initiatives in Cards. Be a role model - Lead from the front as an example in using AI to build fast, take initiative, and revolutionize how we work. Stay close to industry leaders in FinTech, learning from what is happening in the market to build our team. Work closely with stakeholders across all teams at Affirm to champion and implement technical excellence in conjunction with business results Create and influence a strong ownership culture across teams, with high accountability and investment for building for scale and efficiency Architect and contribute to deci

About Pleo Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’. The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years. Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together. We at Pleo are on a mission to make spend management surprisingly effective and empowering. We build a product used by thousands of companies across Europe, and our web app is a core part of that experience. We’re hiring a Staff Engineer to join Web Core — our frontend platform team. The Web Core team exists to enable product engineers across Pleo to build and ship high-quality web software. We own the foundations of the web stack (tooling, patterns, architecture, reliability of the developer workflow), and we partner closely with product teams to make delivery faster, safer, and more consistent. What Web Core does Build and maintain a web platform that teams use to efficiently deliver excellent web experiences. Drive technical excellence across Pleo’s web applications (architecture, patterns, quality, performance, accessibility

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are seeking a highly motivated Manufacturing Engineer to define and optimize manufacturing processes, develop production equipment, and provide manufacturing input during product definition for our advanced robotic systems. You will work closely with design, supply chain, and operations teams to establish reliable processes and equipment that meet quality, cost, and delivery requirements. Responsibilities Bridge the gap between initial concept and full production by providing design teams with critical insights on manufacturability, assembly, testing, and tooling. Apply design for manufacturing and assembly (DFM/DFA) principles and resolve manufacturability issues before production release. Define assembly sequences, work instructions, and tooling requirements; establish critical process and quality parameters; and validate processes before production release. Lead manufacturing readiness for new product launches, upgrades, and component changes by coordinating cost targets, resources, and schedules. Provide hands-on technical support and collaborate with external integrators and suppliers during tooling and equipment specification, validation, commissioning, and production ramp-up. Incorporate requirements for safety, product quality, resource utilization, and preventive maintenance into process and equipment design. Collaborate with cross-functional teams to synchronize priorities. Investigate manufacturing defects and process failures, implement corrective actions, and track improvements in yield, cycle time, and cost. Assess the manufacturing impact of engineering changes, update process documentation and tooling, and track risk mitigation actions through implementation. Requirements Bachelor’s degr

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Staff Machine Learning Engineer, CX Intelligence CEE Intelligence (CEEI) is the ML and intelligence layer for Coinbase's customer engagement ecosystem, building customer intelligence, evaluation systems, routing and classification models, safety guardrails, and decisioning capabilities that power Help Center, chat, voice, agent tooling, and other customer support runtimes. As a Staff Machine Learning Engineer, you'll lead the design and delivery of production ML systems across the org, shaping technical strategy, building scalable intelligence capabilities, and partnering with product and engineering stakeholders to improve resolution quality, automation coverage, safety, and customer experience. What you'll do: Own the design and delivery of production ML systems, applying LLMs, deep learning, graph neural networks, and classical ML techniques to solve complex customer experience problems. Partner with leadership and cross-functional stakeholders to define strategic roadmaps and translate vision into quarterly execution plans with measurable outcomes. Lead high-impact ML projects end-to-end, from architecture through production, managing priorities, risks, and dependencies. Build scalable, secure, and reliable ML systems, evaluation pipelines, and data workflows using high-quality, well-tested Python code. Mentor engineers and establish team-wide standards fo

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. As a Staff Engineer, you will be a part of groundbreaking next generation NAND research & development dry etch team driving critical modules listed below. The position promises ample opportunities for innovation, collaboration and testing a new dimension and scaling with next generation NAND . You will work directly with process integration and other process areas such as Wet etch, CVD, Diffusion, Metals, Lithography & Dry Etch. You will be involved with innovative and outstanding dry etch chambers & own the process roadmap to meet program and yield goals. Your responsibilities include, but not limited to: Main Responsibilities: As a CMP Process Development Engineer, you will develop and optimize chemical mechanical planarization procedures. These procedures aim to improve product quality and reliability for the next generation of Micron's memory parts. Focus on understanding and improving the process margins required for meeting the mature yield goal for 3D NAND parts Advanced 3D NAND CMP process development will include performing fundamental research, consumables development, and hardware evaluation, as well as testing processes for novel applications Initiate and manage experiments to widen process margins as well as to eva

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. Main Responsibilities Develop, optimize, and characterize thin film processes (CVD) to meet performance, reliability, and manufacturability targets. Design and execute experiments, analyze data, and communicate results in appropriate technical forums. Perform film characterization using appropriate techniques (examples referenced: SEM, TEM, XPS, SIMS, AFM) and correlate results to process outcomes. Support process transfer and pilot line execution, including sustaining process maturity/capability for processes under ownership. Collaborate with multi-functional partners (Process Integration, Metrology, Surface/Characterization labs, Electrical Failure Analysis, Yield, Manufacturing, and equipment vendors/suppliers) to ensure robust processes that meet physical/electrical requirements. Other Responsibilities Maintain accurate documentation of experiments, process settings, and learnings; produce technical reports and summaries. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. Contributes to a culture of continuous improvement by identi

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. Main Responsibilities Develop, optimize, and characterize thin film processes (CVD) to meet performance, reliability, and manufacturability targets. Design and execute experiments, analyze data, and communicate results in appropriate technical forums. Perform film characterization using appropriate techniques (examples referenced: SEM, TEM, XPS, SIMS, AFM) and correlate results to process outcomes. Support process transfer and pilot line execution, including sustaining process maturity/capability for processes under ownership. Collaborate with multi-functional partners (Process Integration, Metrology, Surface/Characterization labs, Electrical Failure Analysis, Yield, Manufacturing, and equipment vendors/suppliers) to ensure robust processes that meet physical/electrical requirements. Other Responsibilities Maintain accurate documentation of experiments, process settings, and learnings; produce technical reports and summaries. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. Contributes to a culture of continuous improvement by identi

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. As a Staff Engineer, you will be a part of groundbreaking next generation NAND research & development dry etch team driving critical modules listed below. The position promises ample opportunities for innovation, collaboration and testing a new dimension and scaling with next generation NAND . You will work directly with process integration and other process areas such as Wet etch, CVD, Diffusion, Metals, Lithography & Dry Etch. You will be involved with innovative and outstanding dry etch chambers & own the process roadmap to meet program and yield goals. Your responsibilities include, but not limited to: Main Responsibilities: As a CMP Process Development Engineer, you will develop and optimize chemical mechanical planarization procedures. These procedures aim to improve product quality and reliability for the next generation of Micron's memory parts. Focus on understanding and improving the process margins required for meeting the mature yield goal for 3D NAND parts Advanced 3D NAND CMP process development will include performing fundamental research, consumables development, and hardware evaluation, as well as testing processes for novel applications Initiate and manage experiments to widen process margins as well as to eva

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. Job Summary: The Senior/Staff Engineer, STPG PE System will lead test development, product engineering and electrical failure analysis for automotive managed NAND and SSD BGA products across qualification, manufacturing ramp, and customer-return phases. The role partners mainly with NAND device, ASIC, firmware, and test engineering teams to deliver robust, cost-efficient test strategies, improve yield, test time, and quality, and secure the required laboratory and test infrastructure. The engineer will also apply AI tools and agents to automate engineering workflows and data analysis, while providing clear technical reports and project updates. Main Responsibilities: . Develop high quality and cost efficient SSD and Managed NAND test strategies Collaborate with Test engineering teams to define and secure required test fixtures for memory and system testing. Drive electrical failure analysis of the UFS / SSD BGA products through different phases of the product life cycle (e.g. qualification, high volume manufacturing and customer returns). Drive Yield, Test Time and Quality improvement to meet leading targ

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The User and Content Foundations org is responsible for deeply understanding our content, users and their interactions by generating high-quality, reusable signals and insights that power relevance and personalization across the platform. We work at the intersection of distributed machine learning, large multimodal models, data infrastructure, and product adoption to build foundational capabilities that support our partners, including Discovery, Search, Growth, and Ads. We are looking for an experienced Staff Machine Learning Engineer / Technical Lead who can drive the team’s technical direction, lead the team in building scalable content understanding systems, and make an impact on core Pinterest user and business outcomes. In this role, you will lead ambiguous, high-impact scientific and engineering efforts that create reusable represent

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 our next Staff Machine Learning Engineer on Twilio’s Conversation Memory team. About the job In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers - letting any application, human or AI agent, or channel know who a customer is, what they have done, and how best to reach them. This role requires a builder and curious mindset, someone who can bridge the gap across theoretical research, production-grade experimentation and enterprise quality software. You will lead rapid research cycles to solve complex problems regarding contextual intelligence and large scale ML problems ensuring every interaction feels seamless and personalised. Responsibilities In this role, you’ll: Build out new functionality within a fast moving product seeing rapid adoption. Take a nebulous idea, design a rigorous experiment, and execute it within weeks. Conduct deep-dive research