Six Figure Work

Senior Technical Program Manager, AI Inference

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $168K  to $322K

Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA

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  • LocationSanta Clara, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

NVIDIA’s AI Platform Inference team builds the inference technology that powers AI applications worldwide. We’re hiring a Senior Technical Program Manager to lead critical programs across software, hardware, and tooling — helping our engineering teams move from roadmap to reality with speed and precision. Leading inference programs at NVIDIA means owning the full program lifecycle — from initial planning through delivery. We value clear thinking, strong execution, and people who thrive in technically complex environments where no two days look the same.


What You’ll Be Doing:

  • Drive planning, scheduling, dependency tracking, and executive reporting across multiple concurrent inference programs.
  • Partner with hardware and software engineering leads to align library development with new and upcoming hardware timelines.
  • Coach teams on agile practices and run the rituals that keep programs on track.
  • Build and maintain metrics that surface risks early and support decisions with real data.
  • Communicate program status and technical context clearly to engineering teams and senior leadership alike.
  • Align global, cross-disciplinary teams spanning hardware, software, and product.
  • Identify process gaps and implement improvements that increase delivery quality and team efficiency.
  • Moderate complex technical discussions and drive them to clear, documented conclusions.

What We Need to See:

  • BS degree in Computer Science, Artificial Intelligence, or equivalent experience plus 10 years of experience leading global technical programs.
  • Solid knowledge of software engineering standard methodologies, hardware bring-up processes, and enterprise quality standards.
  • Proficiency with Scaled Agile frameworks and program tracking tools.
  • Demonstrated ability to resolve resource conflicts, unblock teams, and drive alignment at every level of the organization.
  • Clear, compelling communication skills across both technical and business audiences.

Ways to Stand Out from the crowd:

  • Proven experience in machine learning, deep learning, GPU technology, or AI infrastructure.
  • Experience shipping production AI software or co-managing software-hardware programs end to end.
  • A record of building scalable program management practices in growing engineering organizations.
  • Mentorship instincts — the kind of person who invests in the teams around them.
  • Familiarity with open-source inference frameworks or model optimization tooling.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
168,000 USD – 258,750 USD for Level 4; and 200,000 USD – 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

Source: NVIDIA on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($168,000) is above 66% of the 742 Program & Project Management roles in California listed on this site; 16 others list the same floor. Their median floor is $150,000; the middle half runs from $125,100 to $176,300.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live NVIDIA roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live NVIDIA roles with the nearest advertised base floor
RolePublished base
Senior Technical Program Manager, AI Inference (this listing)$168K - $322K
L11 System Product Development Engineer$168,000 - $258,750
Senior Software Engineer, Network Visibility Platform - DGX Cloud$168K - $322K
Hardware Validation Procedures and Documentation Lead$168,000 - $258,750
Senior Software Engineer, Platform Engineering$168K - $322K
AI Engineering Manager - Finance$168K - $322K
Senior Technical Program Manager – DFX Software Methodology$168K - $322K

Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-30
Where this pay comes from

Location as the employer wrote it: US, CA, Santa Clara • US, Remote (Levels 4-5 combined)

168,000 USD – 258,750 USD for Level 4; and 200,000 USD – 322,000 USD for Level 5.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.