NVIDIA
VLSI Engineering
TechnicalProgramManager–VLSI
Neural analysis suggests this role is
optimal for Senior candidates.
“Technical Program Manager – VLSI at NVIDIA. Skills: Technical Program Management, VLSI, AI, Python, Automation, Full-stack development, DevOps, Containerization. Translate complex VLSI project management methodologies into highly scalable, full-stack software solutions. Develop, containerize (eg: Kubernetes, Docker), and maintain AI-driven agents to automate routine project management tasks such as schedule tracking, resource mapping and dependency mapping”
Industry & Context.
Solve operational bottlenecks; Identify process gaps; Engineer the transition from manual playbooks to reliable code
What They're Looking For.
Must Have
BS in Computer Science, Computer Engineering, or a related field or equivalent experience, 5+ years of engineering experience, 2+ years of project or program management experience, Solid technical/engineering foundation, Proficiency in Python, Robust full-stack experience, DevOps experience, Kubernetes experience, Containerization experience, Cloud infrastructure experience, Comfortable using AI-assisted coding environments, Deep understanding of organizational workflow maturity, Ability to identify process gaps, Ability to add necessary telemetry, Ability to engineer the transition from manual playbooks to reliable code, Comfortable working in a fast-paced environment, Maintain composure while embracing rapid changes in AI technology
Nice to Have
Masters degree, Prior experience in Hardware Project Management, Exposure to the ASIC/SoC development lifecycle, Advanced experience with API integrations between project management tools (e.g., Smartsheet, Jira) and custom full-stack applications, Background in data engineering, Experience building automated KPI dashboards, Proven experience or interest in deploying Large Language Models (LLMs), Proven experience or interest in agentic frameworks to solve operational bottlenecks
What You'll Do.
Translate complex VLSI project management methodologies into highly scalable
full-stack software solutions
containerize (eg: Kubernetes
and maintain AI-driven agents to automate routine project management tasks such as schedule tracking
resource mapping and dependency mapping
Partner with VLSI Program Managers and Engineering Leads to assess how work gets done
systematically upgrading processes from undocumented
manual tasks into measured baselines
and ultimately into robust
self-improving automated systems
modern web frameworks
and AI-assisted environments (like Cursor
etc.) to build internal tools and API integrations that seamlessly ingest lab and engineering data into real-time program health dashboards
Reduce manual overhead for technical leads by implementing CI/CD pipelines and DevOps best practices for our internal project management tooling
How You'll Work.
Team & Collaboration
Partner with VLSI Program Managers and Engineering Leads
Process & Methodology
Technical Program Management, VLSI project management methodologies, Schedule tracking, Resource mapping, Dependency mapping, Program health visibility, Full lifecycle program management, Hardware Project Management
Full Job Description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. We serve as the central program management function for NVIDIA’s VLSI Engineering organization, providing the structure and insight needed to deliver world-class silicon. We align roadmaps across all silicon product lines, enabling technical leads to focus on engineering while we accelerate end-to-end execution. Through the integration of domain-specific workflows and intelligent infrastructure, we deliver automated schedule tracking, resource planning, and program health visibility across the full lifecycle—from Arch/RTL handoff through silicon bring-up and productization. We are looking for a highly motivated Technical Program Manager with a strong engineering foundation and a passion for automation to join this dynamic and innovative tea
Applying for this Technical Program Manager – VLSI role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about NVIDIA?
Real rants from real employees. Read before you apply.