Senior AI Product Engineer

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 200,000 - 322,000 annuallyFunction: Data Science & Machine LearningExperience: 12+ yearsEducation: bachelorsSkills: ["Data-driven decision-making","Creative problem-solving","Technical writing","Technical communication","Self-direction"]

Build reference AI-for-Media pipeline implementations for NIMs and SDKs with strong error handling, controls, and observability. Create cookbooks and Jupyter notebooks that demonstrate LLM-powered capabilities, and develop Python SDK bindings to improve developer usability. Measure first-run experience via telemetry, benchmark features with standardized tests, and support external developers by triaging GitHub issues and shaping the roadmap alongside Product through PRDs/SRDs.

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FursaFursa
NVIDIA
NVIDIA
36 minutes ago

Senior AI Product Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 36 minutes agoStatus: Live

Job Summary

Build reference AI-for-Media pipeline implementations for NIMs and SDKs with strong error handling, controls, and observability. Create cookbooks and Jupyter notebooks that demonstrate LLM-powered capabilities, and develop Python SDK bindings to improve developer usability. Measure first-run experience via telemetry, benchmark features with standardized tests, and support external developers by triaging GitHub issues and shaping the roadmap alongside Product through PRDs/SRDs.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build reference pipeline implementations leveraging AI for Media NIMs and SDKs, including robust error handling, controls, and observability.
  • •Create cookbooks and Jupyter notebooks demonstrating AI model capabilities, and develop Python SDK bindings.
  • •Assess and improve AI4Media first-run experience using telemetry; refine engagement strategies and resolve rough edges before customer impact.
  • •Conduct benchmarking using standardized tests and leaderboard tracking; lead engineering projects around benchmarking and data flywheels.
  • •Support external developers by prioritizing GitHub issues, answering community technical questions, and collaborating on product/software requirements (PRDs and SRDs).

Pay and Benefits

Salary: USD 200,000 - 322,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Bachelor’s degree in Engineering, Computer Science, or a related field, or equivalent experience.
  • •12+ years of hands-on software development with advanced Python and ability to build frontend applications using TypeScript/JavaScript.
  • •Over 3 years authoring cookbooks, Jupyter notebooks, technical documentation, and contributing to open-source projects.
  • •Over 3 years in product management delivering AI software as an on-prem or cloud service.
  • •Experience shipping LLM-backed features (prompting, tool/function calling, structured outputs, retrieval, agent loops, evaluation) and strong AI development lifecycle knowledge.
Experience:12+ yearsAI
Education:Bachelor's in Engineering, Computer Science
Skills:Data-driven decision-makingCreative problem-solvingTechnical writingTechnical communicationSelf-direction
Tech Stack:PythonTypeScriptJavaScriptC++TableauJIRAReactJupyterGitHubLLM

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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