- 8+ years of technical program management experience. A Bachelor’s degree or equivalent experience to this in Computer Science, Electrical Engineering, AI, or a related field is required. You must have demonstrated ability to manage programs across multiple time zones and organizations.
- Practical knowledge of inference systems, cloud platforms, and distributed computing — sufficient to pose relevant technical questions and interpret engineering updates directly.
- Track record managing complex, multi-stakeholder programs in fast-paced software development environments, from kickoff through partner-facing delivery.
- Background in software release management, QA coordination, and platform validation cycles — preferably including compliance or review routines like open-source review, security review, or PLC/OSRB.
- Strong written communication skills; ability to write crisp, executive-ready program status updates and blocking issue memos that lead with signal, not noise.
- Experience with large-scale Agile tools and reporting (Jira, NVBugs, or equivalent) and comfort defining your own tracking structure when one doesn’t exist.
Ways to Stand Out from the Crowd
- Strong background in Machine Learning, Deep Learning, and Artificial Intelligence applications, with familiarity with AI benchmarking tools, evaluation frameworks, or performance scorecards for large-scale GPU workloads!
- Experience working with LLM inference frameworks like vLLM, SGLang, or TensorRT-LLM, or knowledge of inference optimization methods such as speculative decoding, quantization, disaggregated prefill/decode, or multi-token prediction.
- Prior experience supporting CSP or NCP partner programs, including coordinating platform validations, cluster capacity requests, or performance bring-up across organizational boundaries.
- Kubernetes or cloud-native workload experience, with an understanding of how container orchestration affects GPU placement, scheduling, and workload repeatability.
- Experience with open-source software release procedures, including contributor licensing, OSRB-style assessments, and ecosystem readiness, to bring internal tooling public in a compliant, organized way.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 168,000 USD – 258,750 USD for Level 4; and 200,000 USD – 322,000 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 7, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.