Jobs in United States

Product Support Operations Director in United States

4,164 active opportunities · Updated October 2026

Explore current product support operations director jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

G
📍 United States· Full-time· Remote
✓ High-confidence listingCompany trend -97.9%

From $115.2K/yr

Quick readStrong listing-quality and freshness signals

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Fullstack Engineer on the Duo Client SDK team at GitLab, you'll build the shared foundation for every GitLab Duo client. Today, the logic that powers Duo in editors lives inside the GitLab Language Server. We're extracting it into a true software development kit (SDK): a set of well-versioned TypeScript packages that editor extensions, our web-based Duo Chat on GitLab.com, and eventually external applications can use. You'll work in TypeScript across frontend and backend systems. You'll design the SDK's Node.js core and public application programming interface (API), and work in the clients that use

TypeScriptNode.jsVueGit
G
📍 United States· Full-time· Remote
✓ High-confidence listingCompany trend -97.9%

From $154.2K/yr

Quick readStrong listing-quality and freshness signals

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Location: San Francisco, California An overview of this role As the Manager, Solutions Architects for our Enterprise team in the San Francisco Bay area, you'll lead a distributed group of intermediate and senior Solutions Architects serving enterprise customers in the West sales territory. You'll guide your team to act as trusted advisors to GitLab prospects and customers, helping them validate GitLab's Enterprise Edition as the right technical and business solution and supporting successful adoption of the GitLab platform across the entire software development lifecycle. You'll hire, coach, and retain a high-performing tea

GitRestAIGo
S
📍 Menlo Park, California, United States· Full-time· Remote
✓ Quality checkedCompany trend -92.9%

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Cortex team is building the future of AI for enterprise data. This role focuses on the Search infrastructure that powers our flagship products like CoWork, Cortex Code & Cortex Agents fast, reliable, scalable and secure at the enterprise level. You will be building high-performance retrieval engines (leveraging vector search, hybrid search, and semantic indexing) that power Snowflake Cortex. This involves optimizing how billions of rows of data are indexed and retrieved in milliseconds. What you will do in this role: Architect Agentic Runtimes: Build and scale the orchestration engines that execute complex agentic workflows, ensuring low-latency tool execution and robust state management. Scale Context Engineering Infra: Design high-performance systems for RAG (Retrieval-Augmented Generation), including vector database integration, scalable and efficient search indexing, query processing, and result ranking, semantic caching, and automated metadata extraction. Build the "Evals Engine": Develop the automated infrastructure required to run massive-scale golden set simulations, error analysis pipelines, and "hillclimbing" experiments. Productionize AI Workflows: Collaborate with the modeling team to take raw LLM capabilities and turn them into hardened, multi-tenant mi

PythonJavaSQLKubernetes
G
📍 United States· Full-time· Remote
✓ High-confidence listingCompany trend -97.9%

From $152.8K/yr

Quick readStrong listing-quality and freshness signals

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Migration Engineer for GitLab Dedicated, you'll partner with customers to plan and deliver migrations from self-managed GitLab to GitLab Dedicated. You'll use GitLab Geo to replicate customer data and move customers onto fully managed, isolated GitLab environments with minimal disruption. You'll balance hands-on technical delivery with clear communication and project ownership, translating each customer's goals, timelines, and constraints into a practical plan and guiding them through cutover and validation. You'll use infrastructure as code and configuration as code practices, Kubernetes, clo

PythonAWSAzureGCP
S
📍 United States· Full-time
✓ Quality checkedCompany trend -87.9%

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 Design team works across most projects at Stripe—from our brand standards to campaigns, events, digital products, and even printed publications. And since Stripe’s main audience is other people who build products, we agonize over and take pride in crafting user-friendly and user-focused experiences. The Brand Design team lays the foundations that help Stripe accelerate. We do this by creating, evolving, and maintaining Stripe’s high-quality, versatile, and forward-looking visual identity design system. We sweat the details. We make it seem effortless. Our team—and our design efforts—are multipliers for Stripe and Stripes. Our focus on principles, systems, and standards makes it easier for all Stripes to get work done—at a high quality bar, while still creating space for evolution and innovation. Collaborating with other teams at Stripe, as well as select external partners, we raise the quality and consistency of interactions with the Stripe brand. Brand Designer leaders at Stripe demonstrate passion for great design and for expanding, evolving, defining, and documenting flexible design systems that achieve bar-raising quality and consistency for the brand at scale. They are user focused, have a strong understanding of the business, and are empathetic and inspiring team leaders. The ideal candidate excels across a variety of styles, crisply articulates design decisions, iterates quickly, and collaborates seamlessly with marketers, pro

B
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -79.1%

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We are seeking an experienced and proactive Security Engineer to help us build, maintain, and continuously improve the security posture of our rapidly growing ML infrastructure platform. As one of the first dedicated security hires at Baseten, you will work cross-functionally with engineering and operations teams to ensure we’re meeting the highest standards of confidentiality, integrity, and availability. You’ll have an opportunity to shape our security strategy and best practices from the ground up, influencing the way our platform handles sensitive data for both internal and external stakeholders. RESPONSIBILITIES Security architecture and design: Collaborate with engineering teams to design and implement secure systems and infrastructure, including cloud (AWS/GCP) environments and container orchestration platforms. Vulnerability management: Lead proactive vulnerability assessments, pen tests, and remediation efforts to ensure our products and infrastructure remain secure. Incident response: Develop and maintain incident response processes, including detection, analysis, containment, eradication, and post-incident reviews. Identity and access management (IAM): Oversee IAM strategies and tools to ensure the right people have the right level of access to our systems and data. Security compliance and audits: Work closely with operations to ensure compliance with relevant standards (e.g., SOC 2, ISO 27001) and

AWSGCPCI/CDMachine Learning
B
📍 New York, New York, United States· Full-time
✓ Quality checkedCompany trend -79.1%

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We are seeking an experienced and proactive Recruiter to help us grow our team. You will focus on hiring across our Sales team, collaborating closely with hiring managers and Sales leadership. This is a unique opportunity to build and scale the go-to-market recruiting function from the ground up—shaping strategies, processes, and candidate experience as we grow. Every hire you bring on board will play a direct role in building the future of ML infrastructure at Baseten. RESPONSIBILITIES Full-cycle recruiting: Own the hiring goals and recruiting process, from role kickoff through offer acceptance Sourcing excellence: Work closely with hiring managers to define what "excellent" looks like for a given role. Develop and execute sourcing strategies to build pipelines of highly qualified candidates, leveraging tools and creative outreach. Candidate experience: Ensure a smooth experience for every candidate, with clear communication and timely updates throughout the process Process improvements: Continuously refine and scale recruiting processes to increase efficiency, reduce time-to-fill, and improve quality of hire Data-driven insights: Track and analyze recruiting metrics (e.g., pipeline health, time-to-fill, conversion rates, acceptance rates) to inform strategies REQUIREMENTS 3+ years of full-cycle recruiting experience, preferably in a rapidly growing startup environment with big headcount goals Proven success

Machine LearningAIGo
B
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -79.1%

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Are you passionate about advancing the application of artificial intelligence? We are looking for a Software Engineer focused on ML performance to join our dynamic team. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM Inference. If you are a backend engineer who thrives on making things faster and is excited about open-source ML models, we look forward to your application. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Model Performance team: Baseten Embeddings Inference: The fastest embeddings solution available The Baseten Inference Stack Driving model performance optimization RESPONSIBILITIES Implement, refine, and productionize cutting-edge techniques (quantization, speculative decoding, kv cache reuse, chunked prefill and LoRA) for ML model inference and infrastructure. Deep dive into underlying codebases of TensorRT, PyTorch, TensorRT-LLM, vllm, sglang, CUDA, and other libraries to debug ML performance issues. Apply and scale optimization techniques across a wide range of ML models, particularly large language models. Collaborate with a diverse team to design and implement innovative solutions. Own projects from idea to production. REQUIREMENTS Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. Experience with one

PythonDockerKubernetesRest
B
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -79.1%

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. ROLE We’re looking for a high-performing strategic finance professional to join our growing GTM Finance team. Our business grows with our customers' usage, which makes the finance function highly strategic at Baseten: growth, pricing, margin, and capacity decisions are business model decisions. You'll sit at the center of them, partnering directly with GTM leadership and reporting into a finance team with a seat at the table for the calls that shape the company's trajectory. This role is ideal for someone with 3 to 7 years of experience across strategic finance, investing, and/or investment banking who wants broad exposure to company-building inside a fast-scaling AI infrastructure company. Experience at a usage-based software company is a plus. RESPONSIBILITIES Own financial planning, forecasting, and budgeting processes for the GTM org Build and maintain financial models across revenue, S&M spend, headcount, and strategic bets Analyze the metrics that define a usage-based business – ARR, gross margin, consumption trends, retention, and GTM efficiency Partner with GTM leaders to set targets, evaluate growth initiatives, shape pricing, and design sales compensation Help prepare board materials, investor updates, and fundraising analyses Improve financial reporting, dashboards, and operational rigor so our infrastructure scales as fast as our revenue Work cross-functionally to turn ambiguous business questions into

SQLRestMachine LearningAI
B
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -79.1%

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten's engineers want to work in an AI-first way. What's missing isn't enthusiasm — it's the platform underneath it. Today everyone assembles their own agent config, context files, and MCP servers, so the good patterns stay trapped in individual setups instead of becoming defaults everyone inherits. You'll build that platform: the agent configurations tuned to our monorepo, the context and tooling layer that makes agents competent in our codebase, the evals that tell us which approaches actually work, and the rollout mechanics that get a new engineer productive with agents in week one. You are not here to mandate how engineers use AI — you're here to make the good path the easy path. Success looks like teams adopting what you build because it beats what they'd cobble together themselves, not because a policy requires it. Platform engineer, not AI evangelist. Ship infrastructure, measure it, kill what doesn't work, let adoption be the referee. The playbook for AI-first SDLC doesn't exist at any company yet. You'll write ours. WHAT YOU'LL BUILD Agent substrate — Repo-level context infrastructure that makes agents competent in our codebase ( CLAUDE.md/AGENTS.md conventions, architecture and domain context, and the tooling to keep it accurate as code moves). Internal MCP servers giving agents scoped access to CI, observability, incident tooling, deployment state, and docs. Shared skills, subagents, and hooks th

PythonDockerKubernetesCI/CD
B
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -79.1%

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We're looking for a Customer Marketing Manager who can own the full customer evidence motion at Baseten: building the systems that capture customer stories, running the co-marketing programs that amplify them, and developing the channels and assets that get those stories in front of the right people. Our customers are ML engineers and AI teams deploying serious workloads — and the stories they tell about what they've built matter. We've earned trust with some of the most demanding technical teams in the industry, and this role exists to turn that trust into evidence. RESPONSIBILITIES Co-Marketing Execution Serve as the DRI for every customer co-marketing launch end to end — managing timelines, coordinating internal and external stakeholders, and driving the process from first outreach to final publication Own the single source of truth for what's in flight across all customer co-marketing activity Coordinate with design, social, and sales to ensure every asset is built, approved, and distributed correctly Customer Evidence & Asset Library Own the customer evidence library: written case studies, video stories, customer quote repository, logo library, and sales snippets ensuring all assets stay current and are tagged and accessible for sales and marketing use Run the monthly operating rhythm: new logo additions from closed-won opportunities, asset updates, and customer health checks Programs & Channels I

Machine LearningAIGoRust
B
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -79.1%

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We’re looking for a Head of Environment to build the physical expression of Baseten as we grow from roughly 300 employees today to more than 2,000 over the next couple of years. You’ll own the environments, spaces, and experiences that define what it feels like to work at Baseten. This is equal parts operations, hospitality, design, and strategy. You’ll partner closely with our founders and leadership team to create an environment that scales with the company while remaining unmistakably Baseten. You’ll inherit a strong Workplace Experience team and continue to evolve the function into one of the defining strengths of the company. We’re looking for someone who has built and scaled world-class workplace functions before; someone who has seen what’s ahead and can help us get there faster. RESPONSIBILITIES Own Baseten’s global workplace and real estate strategy, developing the long-term roadmap for how our physical footprint evolves as we scale from hundreds to thousands of employees. Lead real estate planning, site selection, expansions, and significant capital investments across our headquarters, growing network of smaller offices, and future international locations. Build and operate exceptional workplaces. Own end-to-end workplace operations, office buildouts, relocations, and launches, ensuring every office runs smoothly with an uncompromising bar for quality, hospitality, and attention to detail. Define the

Machine LearningAIRust
B
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -79.1%

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Container runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload. Running large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren't designed for the multi-tenant serving environments that production AI requires. The tools the industry has relied on for a decade weren't built for this, and patching around those limitations at higher layers only goes so far. Baseten owns the entire pipeline, from the moment a developer pushes a model to the moment a request gets a response. That vertical ownership means we can fix these problems at the root. The Runtime Fabrics team is doing exactly that: purpose-building the container runtime and storage layers for AI inference workloads, led by some of the world's top containerd maintainers. As Engineering Manager of the Runtime Fabrics team, you will lead this work, setting technical direction, growing a world-class team of systems engineers, and ensuring the team's output shapes not just Baseten's infrastructure but the open-source container ecosystem at large. If you've contributed to containerd, runc, or related OCI projects and are ready to lead a team solving some of the hardest problems in infrastructure today, we'd love

LinuxMachine LearningAIC++
B
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -79.1%

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As an OS / K8s Systems Engineer at Baseten, you’ll build the automation and systems that turn raw GPU hardware into production-ready compute. From provisioning to orchestration, you’ll own the software layer that makes our infrastructure reproducible, scalable, and reliable across data centers. This is a senior, hands-on role focused on building systems not operating them. You’ll work close to the metal designing OS images, building provisioning pipelines, and automating cluster bring-up from scratch. Your work will define how quickly we can turn new capacity into usable compute. EXAMPLE INITIATIVES Zero-to-cluster automation Build workflows that take new hardware from unprovisioned to fully operational cluster. Provisioning systems Design PXE-based or equivalent systems for imaging and lifecycle management. Reproducible infrastructure — Ensure clusters deploy consistently across data centers. RESPONSIBILITIES Own the end-to-end automation of cluster bring-up and lifecycle management. Build and maintain OS images, provisioning systems, and configuration pipelines. Deploy and operate cluster orchestration platforms (Kubernetes, Slurm, or similar). Design systems for reproducibility across sites and hardware generations. Automate upgrades, rollouts, and failure recovery. Optimize system performance, including GPU utilization and networking. Partner with hardware and network teams to validate and improve system b

PythonKubernetesLinuxMachine Learning
B
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -79.1%

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We’re seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications. You'll work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Model Performance team: Baseten Embeddings Inference: The fastest embeddings solution available The Baseten Inference Stack Driving model performance optimization RESPONSIBILITIES Core Engineering Responsibilities Design and implement high-performance GPU kernels for key ML operations, including matrix multiplications, attention mechanisms, and mixture-of-experts routing Write and optimize code using CUDA, PTX assembly, and architecture-specific techniques Apply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core acceleration, and compute/memory overlap Performance & Innovation Impl

AWSMachine LearningAIC++
🔔

Get new product support operations director jobs in United States by email

Daily job updates · Unsubscribe anytime