Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
API @ 4
Communication @ 7
Mentoring @ 4
Python @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking a Senior Technical Program Manager to join its DFX engineering team and lead software methodology programs that make chips testable, debuggable, and manufacturable at scale across infrastructure, implementation, verification, and silicon bring-up. The role supports NVIDIA's VLSI Engineering organization by aligning roadmaps across silicon product lines and improving end-to-end execution through domain-specific workflows and intelligent infrastructure.
Responsibilities
- Lead the end-to-end program lifecycle for DFX software methodology across infrastructure, implementation, verification, and bring-up, from requirements and specification through release, adoption, and continuous improvement.
- Build and lead roadmaps, schedules, and dependencies for DFX flow, tool, and infrastructure releases, aligning methodology milestones with chip development, tapeout, fab-out, and bring-up.
- Drive release and deployment processes for DFX flows and tooling, including version planning, regression and quality gates, migration paths, and user adoption across design teams.
- Collaborate with engineering teams to define requirements and document architecture, interfaces, and workflows; participate in design reviews and manage scope changes.
- Coordinate licensing and data infrastructure needs with CAD and IT partners so methodology programs can scale across the portfolio.
- Lead verification and validation planning for methodology, including pattern coverage, regression health, and sign-off criteria.
- Support silicon bring-up by prioritizing laboratory and field-debug tooling needs.
- Identify technical, resource, and schedule risks; develop mitigations with engineering teams and provide leadership status updates with recommendations.
- Build metrics and dashboards for methodology health, adoption, and efficiency, and drive process improvements through automation.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience; an advanced degree is a plus.
- At least 8 years of combined experience built on a software engineering or computer science foundation, including at least 3 years of technical program management experience.
- Solid understanding of ASIC/SoC design, verification, and bring-up/productization flows, including DFT insertion, scan, ATPG, MBIST, pattern verification, ATE and in-system test, and post-silicon debug.
- Experience managing software, tooling, or methodology programs, including release cycles, quality gates, infrastructure dependencies, and user adoption.
- Strong collaboration, interpersonal, communication, judgment, and problem-solving skills.
- Ability to guide and influence effectively in a dynamic environment.
- Ability to work through rapid development cycles, constant change, and uncertainty.
Preferred Qualifications
- Familiarity with DFX methodologies.
- Experience scripting and automating tasks; Python proficiency is preferred.
- Knowledge of APIs and data analytics for program management and metrics dashboards.
- Experience mentoring engineers or emerging program managers in methodology and program execution.
Benefits
- Eligible for equity and benefits.
- NVIDIA is committed to an inclusive work environment and is an equal opportunity employer.
Applications will be accepted at least until October 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
More jobs at Nvidia
Senior Research Scientist, AI-Enabled Secure Systems
Nvidia · Westford, United States
USD 224,000-431,200 per year
PhD Research Intern, AI for Climate and Weather Simulation - 2027
Nvidia · Santa Clara, United States
USD 38-94 per hour
PhD Research Intern, Robotic Perception and Learning - 2027
Nvidia · Redmond, United States
USD 38-94 per hour
Senior Software Engineer – WebRTC Streaming
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Senior Research Scientist, AI for Cybersecurity
Nvidia · Westford, United States
USD 224,000-431,200 per year
Similar jobs
Applied AI Architect, Strategic Enterprise Tech
Anthropic · San Francisco, United States, New York City, United States, Seattle, United States
USD 240,000-315,000 per year
Applied AI Architect, Industries
Anthropic · San Francisco, United States, New York City, United States, Seattle, United States
USD 240,000-315,000 per year
Applied AI Architect, Public Sector (Federal Civilian)
Anthropic · San Francisco, United States, New York City, United States
USD 275,000-315,000 per year
Applied AI Architect, Public Sector
Anthropic · San Francisco, United States, New York City, United States
USD 240,000-315,000 per year
Applied AI Architect, Enterprise Tech
Anthropic · San Francisco, United States, New York City, United States
USD 240,000-315,000 per year
Applied AI Architect, Public Sector (GovTech)
Anthropic · Washington, United States
USD 275,000-315,000 per year
Senior Software Engineer - Media API Platform
Bloomberg · New York City, United States
USD 160,000-240,000 per year
Principal ML Solutions Architect - Token Factory
Nebius · United States
USD 208,000-261,000 per year