Staff Quality Engineer Jobs

Perplexity is AI for people who expect more. This role brings that same standard to how our data team works, with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer: the kind of person who knows which metric actually matters, can design an A/B test that answers the real question, has gone deep on a data model because something didn't add up, and has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done . You'll build AI agents and internal systems that can increasingly handle end-to-end analysis workflows: forming hypotheses, writing and running queries, interpreting results, and drafting recommendations with the right evaluation, review, and guardrails. You'll build the retrieval infrastructure and evaluation loops that let AI systems query the warehouse reliably. You'll create workflows that detect, diagnose, and help fix data issues before they become company-wide problems. You'll build the infrastructure that multiplies what a small data team can ship. You'll join a data team that's already using AI across its work. The next step is turning those individual workflows into scalable systems, shared tools, and an AI-native operating model that becomes a benchmark for how modern data teams work. What You'll Do Build AI agents that do data science - not just SQL copilots, but systems that can safely explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations with clear evaluation and human review loops. Make AI systems query the warehouse reliably - build the retrieval infrastructure and evaluation loops that let agents use our semantic context and metadata accurately. Accelerate the AI-native data workflow - turn the best existing AI-assisted workflows into repeatable systems, reusable tools, and patterns the whole data team can adopt. Automate the data lifecycle -

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Director/Senior Director, Chief of Staff – Global People Team Reports to: Chief People Officer Location: SF Bay Area (SF HQ a minimum of 2x week) Role Overview The Director/Senior Director, Chief of Staff is a highly visible, strategic, and highly operational leadership role designed to serve as the critical "glue" that makes everything fit together across Okta's Global People organization. Reporting directly to the Chief People Officer (CPO), you will act as a true strategic thought partner and operational proxy for the CPO, building deep, trust-based relationships across the People Leadership Team (PLT) and the broader business. This role requires a rare and sophisticated dual capability: you must be deeply strategic with a commanding executive presence, yet remain relentlessly operational in execution. Crucially, you possess the business acumen and discernment to ensure we focus on the right priorities. You will bring a vibrant, high-energy presence to the team, serving as the connective tissue that bridges functional silos, coordinates global efforts, and drives high-velocity execution in our fast-paced, AI-driven landscape. What You'll Do Executive Proxy and Strategic Thought Partnership CPO Proxy & Advisor: Serve as a trusted advisor, strategic thought partner, and proxy for the Chief People Officer, representing the Office of the CPO in key leadership forums and decision-making bodies. The Connective "Glue": Cultivate deep, authentic relati

About the Role We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine: design and implement

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 / Role Summary The DMTS is a top technical authority and industry expert who defines, develops, and transfers advanced NAND dry etch processes, shapes equipment and process roadmaps, benchmarks against industry standards, and resolves the most complex yield/defectivity/integration challenges. This role carries broad technical vision, deep domain expertise , strong external engagement, and responsibility for elevating technical capability through mentorship of senior technical leaders. Main Responsibilities Act as technical expert for dry etch process, hardware, and applications in NAND technology development; provide forward-looking insight on trends, capabilities, and integration risks. Define the equipment roadmap and drive mechanism-focused hardware roadmaps with suppliers for next-generation NAND dry etch. </li

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. As Chief of Staff to the VP of Brokerage Product & Customer Care, you will be a strategic partner, trusted advisor, and operational leader supporting a critical business unit. Acting as an extension of the VP, you will drive cross-functional initiatives, establish effective operating rhythms, and translate strategic priorities into execution across cross-functional teams. With a broad view of the business, you will partner with leaders across the organization to improve alignment, strengthen operating mechanisms, and enable the successful delivery of high-impact initiatives. You will also play a key role in shaping the organization's strategy, priorities, and culture while helping the team operate with clarity, focus, and excellence. This role is based in our Menlo Park, CA office, with in-person attendance expected 5 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Serve as a strategic partner to the VP of Brokerage Products & Customer Care, helping

Member of Technical Staff/ Partners Location - San Francisco Bay Area (required) About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. Start in minutes with a fully managed, scalable Postgres database and a suite of tools that eliminate the complexity of backend development. Use one or use all—Supabase gives teams the flexibility of open source with the speed and simplicity of a modern platform, so they can move fast without sacrificing control. About the Role We’re hiring a Strategic Technical Partner to lead our strategic relationships with top AI labs and builders. We’re looking for one of two candidate profiles for this role: Partner Solutions Architect background in previous roles. You’re a technical SME and know how to build relationships with Product/Engineering and Partnerships stakeholders and can navigate a large partner organization Traditional partner management background working with a top-five partner at a high-growth infrastructure technology company. You know how to navigate a large partner organization and go deep with the partner to build integrations, run co-marketing, execute joint GTM initiatives, build relationships across all levels within the partner org, and conduct QBRs. You’ll lead 2–3 strategic partner relationships and serve as Supabase’s quarterback, driving co-build (product integration), co-market, and relationship-building across all levels of the partner organization. This includes facilitating executive touchpoints and running quarterly business reviews. This is a highly visible, execution-oriented role: you’ll work directly with partners to ship integrations, launch joint GTM motions, and drive measurable product adoption. You’ll own your partner set end-to-end — from technical scoping and launch through post-l

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: The RL infrastructure team is looking for an engineer to help develop our RL training framework. RESPONSIBILITIES: Design and implement the systems backing all RL workloads at SpaceXSI, from small scale ablations to production training runs. Profile, debug, and optimize end-to-end training performance Improve scalability and observability of the RL stack BASIC QUALIFICATIONS: Experience building, debugging, and optimizing efficiency of large-scale distributed systems Comfortable diving into unfamiliar areas and solving problems at all levels of the stack Proficiency in Python, Jax, Rust, and/or C++ PREFERRED SKILLS AND EXPERIENCE: Experience with large scale LLM training infrastructure Strong knowledge of reinforcement learning techniques Experience with RL numerics COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXSI is an equal opportunity employer. For details on dat

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. Interested in changing the landscape of artificial intelligence workloads? Join our team where we are building next-generation, high-bandwidth memory products. In Micron's High Bandwidth Memory Architecture organization, we partner closely with customers to deliver memory solutions purpose-built for emerging AI systems and applications. As a Member of Technical Staff, SoC Power and Physical Architect in the Next-generation HBM Architecture Team, you will drive SoC-level specification 3D-stacked, high-performance memories. Apply your knowledge to analyze SoC trade-offs in close collaboration with peer architecture and design teams. Drive power architecture, physical planning, and early SoC design activities, including definition of IP interfaces (e.g., signals, power delivery), clocking, power sequencing, design-for-test, floorplanning, and specification development. Responsibilities: Define clocking architectures, power sequencing, power delivery, and on-die signal interfaces. Define and analyze on-die power delivery networks (PDN) and full-chip thermal implications, including power hot-spot identification and mitigation. Define DFT architectures (e.g., scan chain topology) and set verification requirements. Define SoC floorplans in collaboration with physical designers. Compose and maintain clear SoC physical documentation. Preferred Qualifications: Experie

About the Role The Enterprise AI Products team builds products that make AI part of how teams work together, not just a tool people use on their own. We bring Perplexity Computer into Slack, Microsoft Teams, Microsoft Office, and MCP server with helping teams collaborate with agents and automate work across conversations, documents, and business systems. That includes workflows that start from a message or business event, carry out multiple steps, and bring people in for decisions and approvals. You’ll build new products from the ground up, working directly with customers to understand their problems and shape what we build next. You’ll combine applied AI engineering with product judgment, moving quickly from prototypes to reliable products that solve recurring problems across many organizations. Ownership extends beyond launch: you’ll use customer feedback and product experiments to improve the experience, grow adoption, and make Computer something teams depend on in their daily work. Key Responsibilities Design and build AI-powered experiences in Slack, Microsoft Teams, Microsoft Office, and the MCP server bringing Computer into the tools where teams communicate, create, and coordinate work. Build workflow and automation products that let teams delegate recurring, multi-step tasks to agents, including scheduled and event-triggered execution, human approvals, and visibility into progress and results. Build shared agent experiences that let teams delegate work, review results, and build on each other’s workflows, with clear ownership and handoffs between people and agents. Work directly with customers and internal teams to identify high-impact problems, validate ideas through rapid prototyping, and turn successful use cases into scalable, reusable products. Own products end to end, from problem definition and technical design through full-stack implementation, launch, and production reliability. Measure and improve activation, repeat usage, and workflow completion,

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Synthesia is moving from a single product to a multi-product platform, and research is about to become one of the pillars that determines whether we get that transition right. You'd be joining as our first full-time UX researcher, working directly with product, design, and engineering on the bets that will define what Synthesia looks like over the next few years, including a new real-time, agentic product where we're figuring out an entirely new modality as we build it. This is a Senior IC role. You'll own research end-to-end and shape how the function itself takes form. Why now We've validated the appetite for research. Persona and jobs mapping shaped the first version of our newest product, and there's a strong pull from PMs, designers, and leadership for more. What we don't have yet is a full-time researcher who can operate across the whole product portfolio. The next six months contain some of the highest-stakes decisions we'll make: how the assistant experience should evolve, what drives adoption of the new product, and how we activate users in their earliest moments. Research should be shaping the direction on all three. What you'll be doing Running a combination of strategic and tactical qualitative resea

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. Interested in changing the landscape of artificial intelligence workloads? Join our team where we are building next-generation, high-bandwidth memory products. In Micron's High Bandwidth Memory Architecture organization, we partner closely with customers to deliver memory solutions purpose-built for emerging AI systems and applications. As a Senior Member of Technical Staff or Member of Technical Staff, DRAM Design Engineer in the next-generation HBM Architecture team, you will drive the architecture and optimization 3D-stacked, high-performance memories. Apply your knowledge to optimize DRAM designs and architectures for maximum performance, power, and area (PPA). This role is ideal for experienced DRAM designers who will identify, architect, design, and simulate next-generation architectures and memory features in collaboration with experts in stack architecture, memory systems architecture, and SoC microarchitecture. Responsibilities: Identify and develop novel DRAM circuit architectures that anticipate next-generation AI workload requirements, to unlock improvements in bandwidth and energy efficiency. Collaborate with peers to identify the highest-leverage DRAM circuit bottlenecks and define architectural hypotheses. Validate architectural hypotheses through schematic-level circuit design, SPICE simulation, and tradeoff analysis, establishing PPA feasibility. Partner with layout designers to conduct floorplanning studies. Colla

Momentum is a respected collection of independent companies, including PMG, Koddi, Further. We serve as a premier global business transformation partner for over 125 of the Fortune 500 brands. With 1,400 global employees and $5B in media spend under management, we foster a fast-growing, values-driven, people-first environment where you can thrive. Our portfolio of companies partners with some of the world’s most iconic and ambitious brands. We combine scalability with a solutions-oriented approach to deliver fast-paced, innovative results for our customers while creating meaningful growth opportunities for our teams. If you are looking for opportunities to grow in your career and are passionate about being at the forefront of data and technology, and driving rapid innovation in the future of commerce, we would love to talk with you about joining Momentum. We believe that a culture of belonging, inclusion, and diversity is key to empowering our team members to thrive both personally and professionally. Living out our values is not just a goal; it's a daily practice! For more information, please visit www.momentum.com . If you're ready to begin your career in a role all about driving organizational initiatives within Accounting, we would love to meet you! We are seeking a dynamic and growth-minded individual to join us in the role of a Staff Accountant . You’ll play a key role on our Accounting team, supporting month-end and year end close, reporting compliance, and analysis. Designed for recent graduates, this role is part of the Momentum Launch Program—a cohort-based early career experience that combines hands-on training, mentorship, and meaningful work to accelerate your professional growth. This is a full-time, onsite opportunity based at our Dallas headquarters (The Link, 2601 Olive Street). Join a team where talented people, data-driven insights, and continuous innovation come together to shape the future of digital commerce. About the Laun

We are seeking a golf industry expert to manage relationships with the company's highest level Staff Program members in the central region of the United States. This person is responsible for overseeing the company’s key sponsorship activities with the PGA of America, and other high-profile TaylorMade events (PPC National, TP Classics & Sectionals) that are happening within the assigned region. This individual will represent the department and company in many high-profile situations/activities dealing with golf industry leaders, influencers and executives. This individual must be able to live anywhere within the assigned territory (Central United States). Preferred locations include Dallas, Chicago, Minneapolis, Milwaukee, Nashville and Detroit. Essential Functions and Key Responsibilities: Build and drive the development of the green grass channel through relationships with Staff program members. Manage a high level of communication with all top Staff members and implement key business strategies to maximize the working relationship between the company and these key PGA professionals. Oversee the on-site activities at the company’s Title Sponsored events with the PGA of America at the Section and National level (within assigned region). Identify, recruit and retain top golf professionals within the target Pyramid of Influence (including up-and-coming talent); form relationships with both players and their teams (agents, coaches, etc) Work closely with Sales team members to better execute measurable brand loyalty and recognition. Serve as point of contact for all Sport’s Marketing events, specifically focused on PNC National & Sectional Events, TP Classics and PGA Tour Events. Work closely with key Club professionals to understand point

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: The RL infrastructure team is looking for an engineer to help with low precision RL training and inference. RESPONSIBILITIES: Design and optimize our inference stack for all shapes of RL workloads at SpaceXSI, from small scale ablations to production training runs. Analyze, profile and address performance bottlenecks in large scale RL systems Work closely with the modelling team to efficiently implement novel RL techniques and algorithms BASIC QUALIFICATIONS: Experience in building, debugging, and optimizing efficiency of large-scale distributed systems Experience in LLM inference Proficiency in programming languages such as Python, C++ and/or Rust; frameworks such as PyTorch, Jax, CUDA Willingness to dive deep and solve hardcore problems at all levels of the stack PREFERRED SKILLS AND EXPERIENCE: Strong knowledge in quantization and numerics in LLM inference and training Experience in developing inference engines, e.g. SGLang, vLLM COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement pl

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're building a platform that covers the whole life of an LLM: training it, deploying it, and observing it in production. We already run multi-node training, elastic inference, sandboxes, and distributed volumes, and we control the infrastructure underneath. We’re looking for research depth in post-training to sit alongside our systems and product work. What You'll Do: We are looking for research scientists with a strong track record in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. This role is well suited to candidates interested in improving existing methods and developing new techniques for large-scale model training, optimization, and inference, extending models to long-context and long-horizon tasks, and improving inference-time efficiency, reliability, and robustness in high-stakes real-world deplo