NVIDIA

2 months ago

Technical Program Manager – VLSI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Technical Program Manager for NVIDIA’s VLSI organization, leading automation-focused initiatives that bridge traditional project management with software development. You’ll build AI-enabled tooling, automate schedules and resources, and drive end-to-end program health across Arch/RTL handoff through silicon bring-up in a fast-paced, hybrid environment.

Location: Santa Clara

Workplace: Hybrid

Employment Type: Full time

Job Function: Program & Project Management (PMO)

Key Responsibilities

•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.
•Partner with VLSI Program Managers and Engineering Leads to upgrade processes from undocumented, manual tasks to measured baselines and automated systems.
•Use Python, modern web frameworks, and AI-assisted environments to build internal tools and API integrations that 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 internal project management tooling

Pay and Benefits

Salary: USD 136,000 - 258,750 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•BS in Computer Science, Computer Engineering, or a related field (Masters preferred)
•5+ years of engineering experience with 2+ years of project or program management experience
•Proficiency in Python is mandatory; robust full-stack and DevOps experience (Kubernetes, containerization, cloud infrastructure)
•Experience deploying Large Language Models (LLMs) and agentic frameworks to solve operational bottlenecks
•Deep understanding of organizational workflow maturity and transitioning manual playbooks to reliable code

Experience:5+ yearsVLSIASICSemiconductorAISoftware development

Education:Bachelor's

Skills:PythonKubernetesDockerCI/CDCloudAI

Tech Stack:PythonKubernetesDockerCI/CDCloudAI

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: 4.3

Website LinkedIn Glassdoor

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NVIDIA

2 months ago

Technical Program Manager – VLSI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Hybrid

Employment Type: Full time

Job Function: Program & Project Management (PMO)

Key Responsibilities

•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.
•Partner with VLSI Program Managers and Engineering Leads to upgrade processes from undocumented, manual tasks to measured baselines and automated systems.
•Use Python, modern web frameworks, and AI-assisted environments to build internal tools and API integrations that 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 internal project management tooling

Pay and Benefits

Salary: USD 136,000 - 258,750 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•BS in Computer Science, Computer Engineering, or a related field (Masters preferred)
•5+ years of engineering experience with 2+ years of project or program management experience
•Proficiency in Python is mandatory; robust full-stack and DevOps experience (Kubernetes, containerization, cloud infrastructure)
•Experience deploying Large Language Models (LLMs) and agentic frameworks to solve operational bottlenecks
•Deep understanding of organizational workflow maturity and transitioning manual playbooks to reliable code

Experience:5+ yearsVLSIASICSemiconductorAISoftware development

Education:Bachelor's

Skills:PythonKubernetesDockerCI/CDCloudAI

Tech Stack:PythonKubernetesDockerCI/CDCloudAI

Company Brief

NVIDIA

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: 4.3

Website LinkedIn Glassdoor