Quality Systems Engineer Jobs

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. About the Opportunity We are looking for a Principal AI Engineer to lead the architecture and deployment of large-scale, LLM-powered conversational Chatbot systems serving both enterprise and consumer use cases. This is a hands-on technical role focused on building intelligent, autonomous chatbot systems operating in real-time crypto environments. You will define the technical vision and own end-to-end delivery of production-grade conversational AI platforms. What You’ll Be Doing Lead the design, development, and lifecycle management for conversational Chatbots products for enterprise and consumer use cases. Drive experimentation, simulations, and continuous learning pipelines for Chatbot performance optimization. Design multi-level intent routing, classifier training, and fallback strategies. Building dialogue quality evaluation systems. Drive automated bad-case discovery, A/B testing, and continuous iteration loops. Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain. What We Look For In You PhD or Master's in Computer Science, AI, Machine Learning, or related field with at least 10 years of industry experience . Deep understanding

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 Opportunity We are looking for a Principal AI Engineer to lead the architecture and deployment of large-scale, LLM-powered conversational Chatbot systems serving both enterprise and consumer use cases. This is a hands-on technical role focused on building intelligent, autonomous chatbot systems operating in real-time crypto environments. You will define the technical vision and own end-to-end delivery of production-grade conversational AI platforms. What You’ll Be Doing Lead the design, development, and lifecycle management for conversational Chatbots products for enterprise and consumer use cases. Drive experimentation, simulations, and continuous learning pipelines for Chatbot performance optimization. Design multi-level intent routing, classifier training, and fallback strategies. Building dialogue quality evaluation systems. Drive automated bad-case discovery, A/B testing, and continuous iteration loops. Ensure system scalability, security, and regulatory comp

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! About the Role - Multiple Levels This is an engineering delivery role where you’ll translate ambiguous customer needs into production-grade data, evaluation, and ML-assisted workflows. This is a high-impact role focused on end-to-end ownership of the AI data pipeline lifecycle, including developing and deploying ML-based workflows and building the technical foundations that make our human-in-the-loop (HITL) data generation and review faster, more reliable, and more effective. You’ll work at the critical intersection of data science, data engineering, AI engineering and operations, partnering closely with our DaaS Delivery Operations team and cross-functional stakeholders. You’ll develop technical specifications, design evaluation workflows, implement quality standards, measurement frameworks, and ML-assisted applications which improve our data pipelines and unblock projects through technical innovation. This role is ideal for someone who is comfortable working throughout the delivery lifecycle, rolling up their sleeves to solve complex multi-faceted problems, thrives as a technical communicator and works well as a key member of a team. Main Responsibilities Project Execution & Delivery Build and deploy evaluators, design and implement quality measurement systems to validate project outputs and ensure deliverables meet client expectations Generate synthetic datasets by developing or adapting existing pipelines to accelerate client engagements and aug

Senior Software Engineer - Business Automation Build the software that helps build a spaceplane At Dawn Aerospace, we're building a reusable spaceplane and working to make routine access to space a reality. Behind every flight is a huge amount of software. The Spaceplane Software team develops and maintains the systems that power the programme, from mission control and flight software through to the ERP, manufacturing and operational systems used to design, build and fly our vehicles. We're looking for a Senior Software Engineer - Business Automation to take ownership of the software that keeps our business running. You'll work across engineering, manufacturing, supply chain, finance and operations to identify opportunities, build solutions, and deliver tools that have a direct impact on how we develop and manufacture aerospace hardware. This is a role for someone who enjoys solving real-world problems, working closely with stakeholders, and owning products from concept through to deployment. What you'll do Design, build and maintain business-critical software across the full stack Frontend and backend development Databases design and administration UI/UX design DevOps and Site Reliability Engineering Own the roadmap and priorities for Dawn's internal business systems Work directly with teams across the company, from engineering to finance, to understand their needs and deliver solutions that work for them Take projects from idea to implementation, operating with a high degree of autonomy and ownership What you'll bring Bachelor's degree in Software Engineering, Computer Science or a related discipline 3+ years' professional experience in full-stack software development Experience designing, building and maintaining production software systems Nice to have Experience with one or more of: Enterprise Resource Planning (ERP) systems Manufacturing Execution Systems (MES) Production or Manufacturing Engineering environments Quality Management Systems (QMS) Why join

The NVIDIA PerfTech team is looking for an outstanding Senior C++ Software Engineer to build the next generation of AI-powered developer tools. You will apply deep expertise in modern C++, systems architecture, performance, and debugging to extend our developer-tools ecosystem into the emerging world of agentic software. In this role, you will help develop Genie, NVIDIA’s company-wide AI knowledge and developer-productivity service. You will build production-quality C++ components and integrations while contributing to agentic workflows and retrieval systems that help engineers find information, understand complex systems, and work more effectively. What You’ll Be Doing: Architect and develop production-quality C++ components, APIs, and integrations for NVIDIA’s AI-powered developer-tools ecosystem. Build reliable, performance-sensitive systems connecting native C++ tools with Genie’s retrieval and agentic capabilities. Design maintainable interfaces between C++ applications and AI services exposed through Python, MCP, REST APIs, and structured tool calling. Contribute to agentic workflows, retrieval systems, ingestion pipelines, evaluation infrastructure, and enterprise integrations. Drive technical initiatives from early exploration through production deployment, working closely with multidisciplinary engineering teams. Mentor engineers and help establish best practices for production-quality AI-powered systems. What We Need to See: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 5+ years of professional experience developing complex production software in modern C++. Strong knowledge of software architecture, concurrency, debugging, performance optimization, and maintainable API design. Exper

Staff Unified Communications Engineer GAQ127R44 San Francisco, CA Databricks is looking for a Staff Unified Communications Engineer to lead the evolution of our global communication and workplace technology infrastructure. This role is focused on delivering reliable, scalable, and high-quality communication systems while supporting rapid global office expansion. You’ll operate at the intersection of enterprise communications, workplace technology, networking, and AV infrastructure—building the systems that keep employees and executives connected across offices worldwide. From new office launches to critical executive environments, you’ll help define the standards, infrastructure, and operational excellence that power communication at scale. This is a highly cross-functional role requiring strong technical depth, executional excellence, and the ability to thrive in a fast-moving, high-growth environment. What You’ll Do Lead Enterprise Communication Infrastructure Own the deployment, reliability, and evolution of enterprise voice, conferencing, and workplace communication systems Lead high-impact infrastructure initiatives supporting employees, executives, and global offices Ensure seamless communication experiences across conference rooms, executive spaces, and workplace environments Drive Global Office Expansion Partner with PM, Workplace, Real Estate, Construction, Networking, and Facilities teams to support aggressive global office buildouts Lead communication and workplace technology deployments for new offices, renovations, and infrastructure upgrades Develop scalable standards for conference rooms, executive environments, and workplace communication systems Manage multiple concurrent deployments while maintaining operational excellence across existing offices Operate at a Deep Technical Level Design and support enterprise voice and AV infrastructure connectivity, conferencing systems, and workplace integrations. Troubleshoot complex communication and media issu

Job Details: Job Description: Intel's Design Quality and Reliability organization is seeking an AI Platform Engineer to architect and build an enterprise-grade AI platform for mission-critical engineering work. This platform will enable Intel engineers to analyze complex design, qualification, and reliability data; automate engineering workflows; access organizational knowledge; and make faster, evidence-based decisions throughout the product lifecycle. The successful candidate will combine strong software engineering fundamentals with expertise in AI-native and agentic development. They will be highly proficient with Agentic AI coding assistants and able to use these tools responsibly to accelerate architecture, implementation, testing, debugging, and documentation. This role requires close collaboration with Design, Quality and Reliability, Product Engineering, Manufacturing, IT, Information Security, and other Intel stakeholders. Responsibilities 1. Architect and develop Intel's reusable AI platform for Design Quality and Reliability. 2. Build AI agents and workflows for engineering data analysis, qualification planning, risk assessment, knowledge retrieval, reporting, and process automation. 3. Apply Agentic AI coding assistants to accelerate software development while maintaining rigorous engineering review and validation. 4. Integrate AI capabilities with Intel engineering databases, quality-management systems, internal APIs, spreadsheets, documentation repositories, and workflow tools. 5. Develop production-grade backend services, APIs, data pipelines, model gateways, and agent-orchestration components. 6. Establish shared platform capabilities for identity, access control, tool authorization, memory, observability, evaluation, and auditability. 7. Implement human approval, deterministic validation, and rollback controls for consequential engineering actions. 8.

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 Stripe Data Pipeline —The Stripe Data Pipeline (SDP) team owns a critical product that delivers all of a merchant's Stripe data directly into their data warehouse. We serve major technology companies and Fortune 100 enterprises, delivering petabytes of data daily with high reliability, low latency, and strong correctness guarantees. SDP is marching towards 99.99% availability and near real-time data freshness across multiple warehouse platforms. Merchants depend on this data for their own billing, reconciliation and analytics, and the quality of what we deliver has immediate, visible impact. The systems are distributed, multi-tenant, and operate under strict SLAs. You will work on hard problems at the intersection of data infrastructure, merchant-facing product, and operational excellence. What you'll do As a Software Engineer, you'll design and build platforms and system solutions that are configurable and scalable around the globe. You'll partner with many functions at Stripe, with the opportunity to both work on financial platform systems, as well as direct user-facing business impact. Responsibilities • Design, build, and maintain APIs, services, and systems across engineering teams at Stripe. • Work with engineers across the company to build new features at large scale. • Maintain a collaborative environment, engaging in discussions and decision-making processes with stakeholders within various domains at Stripe. Who you are We're looki

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Design, develop, deploy, monitor, operate and maintain existing or new elements of our systems and infrastructure. Collaborate with engineers and partners in science & product to drive projects from inception, specification, execution, to launch. Write well-crafted, well-tested, readable, and maintainable code. Participate in code reviews to ensure code quality and distribute knowledge. Build an extensible and scalable platform that powers secure detection and response capabilities across the security lifecycle. Ensure high availability and reliability of detection engineering systems to support critical security monitoring and threat identification flows. Experience: Master’s degree or foreign equivalent in Computer Science, Engineering, or related field. 2 years of pre- or post-academic experience in job offered, software development, or related occupation. Experience with Object-oriented programming. Experience writing clear, scalable, and clear design documentation. Experience with backend software development of large-scale distributed systems. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will rece

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. The Collections team, as part of the Repayments area, is on a mission to build a robust platform that will maximize the recovery of delinquent users by sending the right message to the right people at the right time, while monitoring and detecting problems and ensuring high reliability of the engineering systems. Collaborating closely with our product managers, backbook risk teams and other engineering teams , you will effectively manage loans throughout the delinquency phase of their lifecycle and develop and implement recovery strategies. We are looking for a highly motivated software engineer to build the next generation platform solutions that will allow us to manage our constantly growing volume while maintaining high availability and reliability of the systems. You will work closely with your team mates in the Collections team and Product to build robust collections solutions which will enable us to keep our loans portfolio healthy and help our customers pay on time and recover from any delays. What You'll Do With the support of your team, you will work on tasks that contribute to the team's projects and goals. You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work. You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime. You will contribute to a sense of community on your team by engaging in growth and development activities What We Look For You have previous work or internship experience designing, developing and launching backend systems at scale and are experienced using one of Python or Kotlin. You are familiar with the building b

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. The Collections team, as part of the Repayments area, is on a mission to build a robust platform that will maximize the recovery of delinquent users by sending the right message to the right people at the right time, while monitoring and detecting problems and ensuring high reliability of the engineering systems. Collaborating closely with our product managers, backbook risk teams and other engineering teams , you will effectively manage loans throughout the delinquency phase of their lifecycle and develop and implement recovery strategies. We are looking for a highly motivated software engineer to build the next generation platform solutions that will allow us to manage our constantly growing volume while maintaining high availability and reliability of the systems. You will work closely with your team mates in the Collections team and Product to build robust collections solutions which will enable us to keep our loans portfolio healthy and help our customers pay on time and recover from any delays. What You'll Do With the support of your team, you will work on tasks that contribute to the team's projects and goals. On-Call Rotation - There would be an on-call rotation for this role as a requirement You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work. You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime. You will contribute to a sense of community on your team by engaging in growth and development activities What We Look For You have previous work or internship experience designing, developing and launching backend systems at scale an

Engineering Manager, AI Conversation Platform 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 newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production. What you’ll do Responsibilities Driving an ambitious vision for AI/ML that benefits our users Setting the technical & process direction for the team based on business goals Brainstorm and coordinate product integrations with partner teams Proposing new ideas and building prototypes Be an integral part of a larger ML community internally & externally Hire & develop a world-class team to deliver high-quality ML systems. Coach engineers to help them grow in their careers and maintain a high bar Who you are We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You a

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology—developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide. Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools. The Opportunity The Security Engineering and Infrastructure team brings modern security engineering practices to the Biohub network to make sure our systems are secure while we accelerate Biomedical research. We are uniquely positioned to design, build, and scale software systems to help scientists better address the myriad challenges they face. This team works on building shared tools and platforms to be used across

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. The US Expansion Construction team is leading the design and construction of next-generation semiconductor manufacturing facilities across the United States. We partner with engineering, construction, and operations teams to deliver complex infrastructure that enables innovation at scale. Join a collaborative team where learning, technical growth, and operational excellence are highly valued. As a Wet Mechanical Systems Operations Engineer, you will play a key role in the delivery and long-term success of wet mechanical systems supporting Micron’s New York expansion. You will provide technical oversight throughout design, construction, commissioning, and transition to operations, helping ensure systems are safe, reliable, and ready to support manufacturing from day one. Responsibilities: Oversee the design, construction, and commissioning of wet mechanical systems, including plumbing, HVAC hydronic systems, and process piping Review engineering deliverables such as P&IDs, equipment specifications, and system layouts for compliance with project requirements and industry standards Coordinate with design partners, contractors, vendors, and internal stakeholders to support system integration and project execution Lead quality assurance, risk assessment, and commissioning activities to ensure safety, reliability, and operational readiness Support the transition from project execution into sustaining engineering and ongoing operations Minimum Qualifications: <ul

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 . We're hiring a Staff Software Engineer, Native Mobile to join the App Infra team within the Consumer & Business group and help lead Coinbase's greenfield native mobile app rewrite. This team is replacing the existing React Native app with native Swift and Kotlin builds, using AI-driven agentic workflows to translate and rebuild every core surface for millions of customers. Your direction will determine how the team works: you'll bring deep iOS or Android expertise to set the technical bar, own quality outcomes, and translate org strategy into the team's technical execution as product teams onboard to native. What you'll do: Own the architecture of core native app surfaces in Swift and Kotlin, making the structural decisions that product teams build on as they onboard to native. Make this architecture enforceable: define the module boundaries and responsibilities, visibility rules, and compile-time checks that yield a high quality and scalable codebase by default. Stay hands-on across the team's codebases, writing and reviewing code at depth rather than directing from a distance. Lead the agentic code translation workflow, implementing high-quality automated systems for the team's recurring migration work before asking for headcount, and setting what gets automated versus what stays human across the translation pipeline. Own developer experience for the nati