Senior Technical Program Manager, Data Center Engineering Operations

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CAHillsboro, OR
Salary
$168,000–$258,750 / yr
Posted
26 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $213k
$135k most similar roles pay here $272k

This role pays more than 71% of similar roles. Most pay $174,950–$222,226 — the shaded band above. At the midpoint, this role pays about $213k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Technical Program Manager, Data Center Engineering Operations

As a Senior Technical Program Manager, Data Center - Engineering Operations, you will join the Server Engineering Operations Team to bridge the gap between execution and strategy across R&D Engineering Operations. You will lead coordination, planning, and execution for Datacenter Server product deployments in internal development data centers while developing end-to-end project plans to improve infrastructure stability, observability, and uptime. The role involves managing programs through analysis, design, development, testing, implementation, and post-implementation phases while defining key metrics and KPIs. You will work across engineering, operations, and lab administration teams to streamline processes. Required skills include extensive experience in program management, service management, and infrastructure deployments for enterprise hardware products. Preferred competencies include knowledge of software engineering principles, enterprise system architecture, parallel computing, QA best practices, process automation, and proficiency with engineering operations tools and triage methodologies.

What does a Technical Program Manager earn in California?

Median $211325 from 72 postings across 20 companies.

See salary data

What you'll do

  • Lead coordination, planning, and execution for Datacenter Server product deployments in internal development data centers.
  • Develop and lead end-to-end project plans to improve infrastructure stability, observability, and uptime.
  • Define and drive key performance indicators (KPIs) across various engineering projects.
  • Streamline overall engineering operations by coordinating between engineering, operations, and lab administration teams.
  • Provide hands-on program management during analysis, design, development, testing, implementation, and post-implementation phases.
  • Analyze historical trends and generate meaningful metrics to track product development progress.
  • Manage cross-organizational programs while holding partners accountable to specific goals, timelines, and deliverables.

What we're looking for

  • Bachelor's degree in a related field or equivalent experience.
  • 10+ years of experience as a TPM or hands-on leader in a similar collaborative role involving multiple engineering teams developing enterprise hardware products.
  • Proven experience and successful record of accomplishment handling sophisticated infrastructure deployments.
  • Solid Service Management or Engineering Operations experience.
  • Experience leading cross-organizational programs, effectively influencing partners, and holding them accountable to goals, timelines, and deliverables.
  • Analytical and problem-solving experience including defining and collecting key metrics across projects.
  • Understanding of software engineering principles, enterprise system architecture, and parallel computing (preferred).
  • Prior experience in hardware or software QA best practices, productivity tools, process automation, and engineering operations tools (preferred).

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