Software Program Manager, New Product Introduction

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: —
Salary: $108,000–$184,000 / yr
Employment: Full-time
Posted: 32 days ago
Freshness: Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $191k

This role $146k

$92k most similar roles pay here $255k

This role pays less than 91% of similar roles. Most pay $165,937–$215,604 — the shaded band above. At the midpoint, this role pays about $146k versus about $191k 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 1371 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1096 roles with salary data.

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At a glance

TL;DR · Software Program Manager, New Product Introduction

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As a Software Program Manager, New Product Introduction, you will join a team of experienced program managers driving the successful introduction of next-generation GPU-based products. You will collaborate with internal leaders across software, hardware, marketing, and operations to ensure timely delivery while managing complex projects through course adjustments and process improvements. Your daily responsibilities include negotiating system, board, and chip needs for software development and QA teams, driving hardware allocation, infrastructure, budgeting, and priority calls. You will represent the software organization at Go-To-Market meetings and build comprehensive project plans. The role requires expertise in the software development lifecycle, specifically regarding device drivers, applications, and chip bringup. Required skills include technical presentation, data analysis using Excel or Tableau, and knowledge of operating systems, graphics principles, AI datacenters, and process automation tools to enhance productivity.

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