Senior Technical Program Manager, EDA Chip Infrastructure

Nvidia

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$200,000–$322,000 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $261k
$141k most similar roles pay here $341k

This role pays more than 95% of similar roles. Most pay $177,250–$220,237 — the shaded band above. At the midpoint, this role pays about $261k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1150 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 912 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Technical Program Manager, EDA Chip Infrastructure

Senior Technical Program Manager - EDA Chip Infrastructure joins the Hardware Infrastructure team to lead strategy and execution for programs supporting the bringup, operations, and modernization of the hardware EDA ecosystem. This role focuses on building high-quality engineering roadmaps while standardizing planning, reporting, and execution methodologies to ensure infrastructure reliability and performance. The successful candidate will manage diverse engineering efforts using agile program methodology, focusing on automation, tooling, and data-driven metrics like OKRs and KPIs. Key responsibilities include coordinating with cross-company partners to scale cluster operations and managing complex dependencies across a multi-functional matrixed organization. Required expertise includes infrastructure software, large-scale distributed computing, and experience with CPU/GPU architectures within semiconductor design and manufacturing processes. The role requires proficiency in project management tools and skills in release management to solve challenges within the EDA tool and flow landscape.

What does a Technical Program Manager earn in California?

Median $199200 from 77 postings across 18 companies.

See salary data

What you'll do

  • Lead the strategy and execution of programs for hardware EDA ecosystem infrastructure bringup, operations, and modernization.
  • Coordinate with cross-company partners to shape technical strategies and meet business objectives for seamless scaling.
  • Drive engineering efforts using agile methodologies across planning, prioritization, design, and dependency management.
  • Identify opportunities for automation and process improvements to scale cluster operations and management.
  • Implement a data-first approach using metrics, OKRs, and KPIs to measure program success and identify improvements.
  • Establish communication channels to provide status, risks, and opportunities to diverse technical and non-technical audiences.
  • Act as a liaison between developers, customers, and partners to ensure alignment across multi-functional teams.

What we're looking for

  • Bachelor's degree in Electrical Engineering, Computer Science, or a related technical field (or equivalent experience).
  • 12+ years of experience in software/hardware engineering and/or technical program management roles.
  • Experience in infrastructure software, production application software development, and large scale distributed computing.
  • Experience with large scale EDA infrastructure across various CPU/GPU architectures and understanding of semiconductor design processes.
  • Exceptional communication and presentation skills for both technical and non-technical audiences.
  • Knowledge of agile methodologies and project management tools.
  • Experience with infrastructure cluster buildouts and NPI hardware evaluation (preferred).
  • Experience in modernizing EDA Infrastructure, cloud migration, or DevOps practices (preferred).

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