NVIDIA Logo

NVIDIA

Senior Technical Program Manager

Reposted Yesterday
In-Office or Remote
5 Locations
168K-259K Annually
Senior level
In-Office or Remote
5 Locations
168K-259K Annually
Senior level
Lead planning and execution for GPU-accelerated data science and processing libraries. Drive cross-functional release and compliance programs, manage dependencies and risks, improve dev processes and tooling, build program metrics, and ensure high-quality, predictable open-source releases.
The summary above was generated by AI

For more than 25 years, NVIDIA has redefined computer graphics, video game development, and enhanced processing capabilities. Today, we're leading the next era of AI, building the platforms that power intelligent applications, robotics, autonomous systems, and the world's most advanced computing infrastructure.

The Analytics & Data Intelligence (ADI) team develops the GPU-accelerated data analytics and AI software that enables enterprises to process extensive structured and unstructured datasets at unprecedented speed. Our open-source technologies—including cuDF, cuML, cuVS, and cuOpt—are helping define the future of data science, vector search, and agentic AI. We're looking for an experienced Technical Program Manager who thrives at the intersection of engineering, execution, and technical strategy. If you enjoy partnering with engineers, improving how teams build software, and driving complex technical programs from planning through delivery, you'll have the opportunity to shape some of NVIDIA's most influential open-source AI and data platforms.

What you'll be doing:

  • Own planning and execution for NVIDIA's GPU-accelerated data science and data processing libraries, building integrated roadmaps that balance long-term strategy, near-term priorities, and engineering capacity while defining program scope, milestones, success metrics, and execution plans.

  • Drive cross-functional execution across engineering, product, marketing, go-to-market teams, and the open-source community, managing dependencies, aligning stakeholders, tracking software readiness, resolving risks early, and ensuring predictable, high-quality releases.

  • Lead software release, security, and compliance programs while continuously improving development processes, tooling, and delivery practices to increase velocity, quality, collaboration, and predictability.

  • Build and maintain significant program metrics that measure release health, quality, delivery performance, adoption, and overall program success, using data to drive decisions and continuous improvement.

What you'll be doing:

  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field—or equivalent experience.

  • 8+ years of technical program management experience leading complex software initiatives in data science, data processing, accelerated computing, high-dimensional search, self-directed AI, or closely related domains.

  • Strong technical foundation with previous experience as an engineer, data scientist, or highly technical program leader, along with deep familiarity with open-source software development, the PyData ecosystem, GitHub, and GitHub-based engineering workflows.

  • Proven ability to lead multiple business-critical programs simultaneously, influence across organizations without direct authority, communicate effectively with both technical and executive audiences, and consistently deliver high-quality software in fast-moving environments.

  • A self-directed, adaptable leader who takes ownership, solves problems proactively, and drives results with minimal oversight.

Ways to stand out from the crowd:

  • Hands-on experience with Python, C++, data science, or GPU-accelerated computing.

  • Experience with vector search, agentic workflows, semantic search, text-to-SQL, intelligent query execution, or workload routing.

  • A track record of improving engineering processes, delivery systems, and program metrics to make organizations more scalable and predictable.

  • Experience partnering with research organizations to translate experimental work into production-ready software and successful customer outcomes.

Known throughout the tech industry as a leading employer, NVIDIA offers attractive compensation and an extensive benefits package. While planning your future, explore the opportunities available for you and your family at www.nvidiabenefits.com/  

Alongside appealing compensation and a generous benefits package, NVIDIA is broadly recognized as one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: AI, Data Engineering, and Data Science. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 10, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Similar Jobs

7 Days Ago
Remote or Hybrid
United States
98K-165K Annually
Senior level
98K-165K Annually
Senior level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Lead end-to-end execution of a 12+ initiative product security program, managing cross-team dependencies, vendor procurement, BAU security operations, and executive reporting. Maintain roadmap and tracking in Jira/Confluence, drive procurement/POCs, produce executive-ready metrics, and establish program cadence to ensure timely remediation and predictable delivery.
Top Skills: Ai And Machine LearningCi/CdCloud-Native SecurityConfluenceDevsecopsIdentity And Access Management (Iam)JIRAScmVulnerability Management
3 Hours Ago
Remote
United States
120K-261K Annually
Senior level
120K-261K Annually
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
Lead and deliver large, cross-functional cloud capacity and region health programs. Partner with software and hardware engineering to design solutions, define success metrics, manage roadmaps, track schedules, govern implementations, drive continuous improvements, validate use cases, collect performance metrics, and lead customer and stakeholder engagements.
Top Skills: Automation And Control SystemsAzureDatacenter DesignDecision-Support SystemsDistributed SystemsGpusIaasNetwork EngineeringOptimizationPaasPolicy EnginesRack DesignRecommendation EnginesServer Hardware
14 Hours Ago
Remote
USA
152K-208K Annually
Senior level
152K-208K Annually
Senior level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Lead end-to-end delivery of ML infrastructure and AI tooling programs, defining architecture and rollout strategies for training, serving, and monitoring. Coordinate research, engineering, product, and data teams to optimize inference cost/latency, build internal tools for experiment tracking and model versioning, and resolve bottlenecks to enable faster, scalable ML deployments.
Top Skills: Aws SagemakerAzure MlBatching StrategiesCudaDistillationDvcFeature StoresGcp Vertex AiHugging FaceKv-Cache OptimizationMlflowPyTorchQuantizationTensorrtTorchserveVector DatabasesVllmWeights & Biases

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account