Quality Management System Engineer Jobs

About the Team The ChatGPT Model Flywheel team unified goal is to transform model advancements into great ChatGPT user experiences through reliable serving, rapid experimentation, safe deployment, and continuous improvement. Team Focus Areas Model Experimentation: Enable rapid, safe model validation for ChatGPT and Codex products through experiment automation and lifecycle management. Model Deployment: Ensure safe, scalable deployment of model capabilities with robust rollout and operational tooling. Automate capacity management and incorporate platform-wide health monitors. Model Measurement: Build comprehensive evaluation and measurement systems for model quality, from user signals to launch scorecards. Improve end-to-end feedback loops for continual model improvement. Key Partnerships Collaborate cross-functionally with teams including Model Measurement DS, Research, Codex, Fleet, Inference, and API. In this role, you will: Elevate and consolidate ChatGPT’s harness, context management, and system prompt frameworks. Drive expansion and improvement of multi-tier model experiences. Support and scale self-serve experiment capabilities and automated guardrails. Lead model rollout automation, capacity management, and health monitoring. Shape end-to-end measurement systems (evals, grader signals, user feedback, etc.). You might thrive in this role if you have: Proven experience leading engineering teams in complex, cross-functional environments. Demonstrated success shipping production systems at scale (ideally for AI or large backend services). Deep understanding of model-driven product development, deployment lifecycle, and measurement tooling. Excellent communication and collaboration skills—experience interfacing directly with engineering, research, and product stakeholders. Prior involvement with large language models, distributed infrastructure, or experimentation platforms is a plus. Why Work With Us Tackle highly impactful technical challenges at the cutting edg

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: Millions of people use Notion — and this number is increasing every day. That means millions of people trust us to deliver a fast, reliable, and secure experience, and we value this more than anything. We want to keep earning trust, while also continuing to amaze our users with the tools they can build in Notion. The AI Platform team is responsible for building the shared foundations that let Notion ship AI products quickly and operate them safely at scale. You’ll join a team of talented engineers focused on making speed and quality compatible: reliability and availability through provider changes, quality and correctness systems like evals and release gates, observability that makes failures explainable, and shared primitives for model integrations, context management, long-running actions, and cost/performance tradeoffs. Notion’s AI platform is vital to helping product teams move faster with production-grade guardrails as models, providers, and AI capabilities rapidly evolve. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days)

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across silicon, embedded systems, operating systems, and cloud services to build reliable consumer devices and the novel platforms required to support them. We partner closely with research to bring advanced AI capabilities into the physical world. About the Role As an Operating Systems Engineer focused on on-device inference, you will design, develop, and ship the OS stack that makes advanced AI capabilities reliable, responsive, and energy efficient on consumer devices. Your work will span OS services and frameworks, inference runtime integration, model fitting, scheduling, and performance and power management. You’ll partner with research to adapt models to device constraints, make design decisions across the stack, and carry solutions from early exploration through integration and production. In this role, you will: Build the inference platform: Design and implement maintainable OS services, frameworks, and clear interfaces for inference execution, model loading and lifecycle, and resource management. Fit models to device constraints: Partner with researchers on quantization, runtime integration, and memory optimization to meet memory, compute, and energy budgets while evaluating model quality and product behavior. Coordinate system resources: Develop scheduling and resource policies that balance inference with other device act

Who are we? FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever- evolving cryptocurrency landscape. Role Overview As an Engineering Manager for the Credit team, you will lead the core engine driving our credit systems, including the margin notification engine and loan booking system. Your primary focus will be on maximizing data accuracy, system reliability, and architectural integrity. You will lead a high-performing group of senior engineers, stream-lining technical processes, preventing over-engineering, and maintaining a high standard of delivery alongside key stakeholders. Role Split & Focus Areas Technical Leadership & Architecture (40%): Drive long-term system maintenance, architectural refactoring, and code quality. Ensure technical debt is addressed without blocking impactful business features. Process & Stakeholder Management (20–30%): Partner with product and business stakeholders to prioritize deliverables. Make decisive trade-offs and cut unnecessary overhead to maintain lean execution. People Management & Mentorship (20–30%): Manage, mentor, and guide senior technical talent across performance cycles, career growth, and talent acquisition. Key Responsibilities Oversee and maintain the reliability, precision, and efficiency of core credit applications (Margin Notification Engine, Loan Booking Systems). Drive architectural roadmap decision

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE To be a expert performance engineer to define and validate the industry-leading performance of our mission-critical FlashArray portfolio. You will be instrumental in extending our capabilities into the cloud, directly impacting customer adoption and satisfaction by ensuring our products meet the highest benchmarks. This high-visibility role involves close collaboration with Product Management and Solutions Engineering to translate real-world customer needs into engineering goals. WHAT YOU'LL DO Define and Drive Benchmarking Strategy: Establish comprehensive, next-generation performance benchmarking requirements and metrics for all FlashArray products across diverse platforms, ensuring we maintain a significant competitive edge in the market. Team Execution and Mentorship: Provide technical direction and leadership to a team of highly motivated engineers, fostering a culture of technical excellence, and ensuring timely delivery of high-quality, high-impact performance results. Validate Critical Customer Scenarios: Collaborate with Product Management, Solutions, and Sales Engineering to research and develop performance validation strategies that accurately model and confirm critical customer use cases and requirements, directly enhancing product readiness. Optimize System Performance: Oversee the deep-dive analysis of performance bottlenecks within the Linux storage and networking stack, iden

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE To be a expert performance engineer to define and validate the industry-leading performance of our mission-critical FlashArray portfolio. You will be instrumental in extending our capabilities into the cloud, directly impacting customer adoption and satisfaction by ensuring our products meet the highest benchmarks. This high-visibility role involves close collaboration with Product Management and Solutions Engineering to translate real-world customer needs into engineering goals. WHAT YOU'LL DO Define and Drive Benchmarking Strategy: Establish comprehensive, next-generation performance benchmarking requirements and metrics for all FlashArray products across diverse platforms, ensuring we maintain a significant competitive edge in the market. Team Execution and Mentorship: Provide technical direction and leadership to a team of highly motivated engineers, fostering a culture of technical excellence, and ensuring timely delivery of high-quality, high-impact performance results. Validate Critical Customer Scenarios: Collaborate with Product Management, Solutions, and Sales Engineering to research and develop performance validation strategies that accurately model and confirm critical customer use cases and requirements, directly enhancing product readiness. Optimize System Performance: Oversee the deep-dive analysis of performance bottlenecks within the Linux storage and networking stack, iden

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE To be a expert performance engineer to define and validate the industry-leading performance of our mission-critical FlashArray portfolio. You will be instrumental in extending our capabilities into the cloud, directly impacting customer adoption and satisfaction by ensuring our products meet the highest benchmarks. This high-visibility role involves close collaboration with Product Management and Solutions Engineering to translate real-world customer needs into engineering goals. WHAT YOU'LL DO Define and Drive Benchmarking Strategy: Establish comprehensive, next-generation performance benchmarking requirements and metrics for all FlashArray products across diverse platforms, ensuring we maintain a significant competitive edge in the market. Team Execution and Mentorship: Provide technical direction and leadership to a team of highly motivated engineers, fostering a culture of technical excellence, and ensuring timely delivery of high-quality, high-impact performance results. Validate Critical Customer Scenarios: Collaborate with Product Management, Solutions, and Sales Engineering to research and develop performance validation strategies that accurately model and confirm critical customer use cases and requirements, directly enhancing product readiness. Optimize System Performance: Oversee the deep-dive analysis of performance bottlenecks within the Linux storage and networking stack, iden

About the Team OpenAI's People team helps hire, develop, and support the people building safe and beneficial AGI. Within that team, People Systems builds the technical foundation that enables our HR, recruiting, payroll, benefits, and performance operations to scale with quality, speed, and rigor. We work at the intersection of HR systems, software engineering, and internal tooling. Our goal is not just to keep core systems running, but to build durable technical leverage for the company. About the Role We're hiring a Workday Engineer to help design, build, and operate the systems that power critical people workflows at OpenAI. This is a highly technical role for someone who combines strong Workday expertise with real engineering fluency. You'll build reliable integrations, improve system architecture, automate complex workflows, and help connect Workday to internal tools, external platforms, and emerging AI-driven systems. You should be comfortable going beyond configuration work. We're looking for someone who can reason through ambiguous systems problems, write and debug technical solutions, work effectively in Git-based environments, and use modern developer workflows, including CLI-driven tooling, to build and operate with speed and discipline. You'll partner closely with cross-functional teams across People, Finance, Security, and Engineering, including our People Innovations team, to build systems that are secure, scalable, and practical. Some work will involve improving mature production infrastructure; some will involve building entirely new workflows and capabilities from scratch. In this role, you will Design, build, and maintain Workday integrations, applications, and workflow automations across domains such as payroll, benefits, recruiting, performance, and case management Improve the reliability, quality, and scalability of People systems through strong engineering, testing, and operational practices Build technical solutions that connect Workday with i

About the Role & Team Every AI insight, every experiment, every cohort at Amplitude starts with a query. Our in-house OLAP engine, Nova , processes trillions of events in real time — turning raw behavioral data into fast, trustworthy answers that power decisions for thousands of product teams worldwide. We're entering a world where AI agents don't just assist product teams — they ship features, run experiments, and make prioritization calls autonomously. What makes that possible is agents' ability to verify their work against real product data continuously. That makes Nova the critical infrastructure in the loop, and as non-stop agents become the main source of queries, the demand on Nova's throughput, correctness, and operational rigor grows dramatically. We're looking for a Senior Software Engineer who wants to go deep on the engine internals and the infrastructure underneath. You'll own significant components of a modern OLAP system — across query execution, columnar storage and encoding, distributed compute, caching, and cloud infrastructure — and drive meaningful improvements to performance, cost-efficiency, and reliability. You'll grow your technical influence through the quality of your code, your design contributions, and your collaboration with other engineers on a team of ~10. This role is ideal for someone who finds real satisfaction in making a complex distributed system faster, cheaper, and more reliable — and who wants to do that work on a system that directly powers the product experience for thousands of enterprise customers. What You'll Do Build and improve core query engine components Contribute across Nova's query execution engine and distributed compute layer: query planning, columnar storage formats, encoding and compression, caching, and cluster-level resource management. Implement new capabilities as Nova expands to support more warehouse-imported data types, such as metrics, profiles, and dimensions. Help ensure Nova's components support

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. We are looking for a skilled and motivated Principal Software Engineer who is passionate about continuous learning and eager to grow along with us in a fast-paced, innovative environment. You will work remotely from Bulgaria and will be reporting to an engineering leader located in Bulgaria. You Will: Lead the design and implementation of Smartsheet's next-generation architecture, ensuring scalability, security, and performance for millions of global users. Define and drive architecture strategy, making key technical decisions that shape the future of the platform. Review and guide technical project designs, providing feedback during design review presentations to ensure system resilience and scalability. Take ownership of cross-functional technical initiatives, aligning teams around common architectural goals while driving large-scale projects to completion. Foster strong technical leadership, mentoring senior engineers and influencing best practices across multiple engineering teams. Lead deployment reviews for high-impact projects, ensuring they meet scalability, performance, and security requirements. Collaborate closely with product management and other business stakeholders to balance market needs with technical constraints, driving innovation while maintaining technical rigor. Advocate for quality and operational excellence, ensuring systems are monitored, tested, and maintained to meet the highest reliability standards. Perform other duties as assigned. You Have: Proven experience in system architecture and the d

At Asana, security is foundational to our mission of helping teams work together effortlessly. Our Security organization protects Asana’s employees, users, and customers by proactively addressing threats, enabling secure product development, and embedding security into the fabric of how we operate. We partner closely with Engineering, Product, IT, Legal, and Compliance to build and maintain trust at scale. We are seeking an Engineering Manager, Security to lead and grow our Security Engineering organization as Asana continues to grow globally. This role is pivotal in translating high-level security strategy into technical reality, ensuring our infrastructure is resilient by design and our internal security tooling is world-class. This is a leadership role with accountability for people management, technical mentorship, and the delivery of high-impact security initiatives across a complex, high-growth SaaS environment. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Lead and mentor a multi-disciplinary engineering team, fostering a culture of technical excellence, psychological safety, and high accountability. Own the security engineering roadmap, ensuring high-quality delivery and measurable risk reduction through effective prioritization. Drive recruiting efforts to attract top-tier talent and establish clear, ambitious career paths for your team. Champion a high-performance environment where security rigor acts as a catalyst for innovation rather than a bottleneck to velocity. Collaborate with Product and Engineering teams to embed security requirements directly into system des

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 . As a Staff Software Engineer, Frontend on the Advanced Trading team within the Consumer & Business group, you'll lead the front-end technical strategy for Coinbase Advanced, our trading platform for experienced traders. You'll own the performance, reliability, and scalability of our web and mobile trading clients, driving low-latency interfaces that serve traders across multiple instrument types. This is a high-impact role at the intersection of crypto, trading infrastructure, and consumer product, where your technical leadership will shape both the platform and the engineering team building it. What you'll do: Own the front-end technical roadmap for Coinbase Advanced, defining architecture decisions that enable a reliable, scalable trading platform across web and mobile Drive measurable performance improvements across rendering, network efficiency, and state management to deliver a low-latency trading experience Lead complex, multi-quarter technical initiatives end-to-end, setting and enforcing high standards for code quality, system design, and engineering rigor Strengthen the engineering team through hands-on mentorship of senior engineers, elevating technical decision-making and fostering growth across the subteam Partner with Product and Engineering leadership to translate business priorities into actionable technical plans and ship high-impact features Shap

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 . As a Senior Software Engineer on the Consumer & Business Advanced Trading team, you'll architect and deliver Coinbase's next-generation trading systems for the IntX product, working from Singapore in close collaboration with the Trading team. This team builds the fastest, most reliable crypto trading infrastructure globally. You'll lead multi-quarter, cross-organizational initiatives that define how millions of customers trade, while mentoring engineers and raising the technical bar across the organization. What you'll do: Own the technical vision and architecture for mission-critical trading systems, including order management, execution engines, and reliability infrastructure. Drive multi-quarter projects across multiple engineering teams from design through production delivery. Lead system design and code review processes that elevate engineering quality and set standards for the trading stack. Partner with Product Management and Design to align product strategy with long-term technical bets and roadmap priorities. Shape the strategic direction of the trading platform by identifying high-leverage technical initiatives and driving consensus across organizational boundaries. Deepen engineering talent across the team by coaching engineers at various levels and developing the next generation of trading infrastructure leaders. Required Skills and Experience: 5+ yea

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 . Coinbase is building prediction markets as part of the Everything Exchange, letting millions of users trade on the outcomes of real-world events across sports, politics, crypto, and culture. We're building the full regulated stack in-house: our own exchange, clearing, and settlement infrastructure. As a Staff Software Engineer on the Prediction Markets team , you'll design and own the core backend systems that power market discovery, best-in-class trading experiences, order management, market resolution, and settlement. It's a rare chance to build market infrastructure from the ground up, with the ownership of a startup and the reach of Coinbase. What you’ll do: Own the design, development, and reliability of backend systems that power order management, trade matching, settlement, and market resolution for prediction markets Architect distributed systems that enforce strict correctness guarantees across clearing, payout, and position management workflows Drive the technical strategy for migrating from third-party venue participation to a fully Coinbase-operated exchange and clearing platform Lead cross-functional collaboration with Product, Compliance, and Risk teams to ensure the platform meets regulatory requirements and launches with confidence Shape engineering standards and practices across the Prediction Markets team, setting a high bar for code quality, system

About the Team Frontier Systems Foundations, part of Compute Foundations at OpenAI, builds the systems software foundation that turns new compute infrastructure into reliable, usable capacity for frontier model training. Our mission is to make some of the world's largest GPU clusters work reliably for frontier training. We bring new platforms and clusters online, safely maintain installed fleets, and partner with hardware, infrastructure, and research teams to resolve the system-level issues that keep jobs from running. That means building and maintaining the software closest to the machine: Linux and Ubuntu operating-system images, kernels and modules, drivers, packages and repositories, disks and boot configuration, firmware integration, provisioning, and system-level validation. We make these components reproducible, compatible, and safe to operate across heterogeneous fleets. About the Role We are looking for systems software engineers with deep Linux and host-systems experience to build, qualify, and maintain the operating-system foundation for OpenAI's frontier compute fleet. Relevant backgrounds include kernel and module development, Linux distribution or image engineering, package management, firmware and driver integration, disks and boot, and bare-metal provisioning. You'll work closely with hardware engineers, vendors, and infrastructure teams to bring up new platforms, integrate system components, and debug failures across firmware, disks, boot, operating systems, kernels, drivers, and workload interactions. Your work will directly influence how quickly new capacity becomes usable and how reliably large GPU fleets operate. You should be comfortable writing and maintaining production-quality systems software and automation, but we do not expect expertise across every layer. This is an opportunity to go deep on challenging systems problems while building the image, package, qualification, and recovery paths that power the next generation of frontier models