Senior Technical Program Manager, AI Inference
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Not yet checked
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
The employer's own board was still advertising this when we last read it, though our own check is not current.
How old is it?
Posted 10d ago
The date the source published, not the day we noticed it (2026-10-23). Last seen at its source just now.
We have tracked this listing since 23 Oct 2026 (9 days). The employer's board dropped it once and re-listed it; it was last seen there just now.
Is it remote?
US, Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$168k–258.8k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Workday employer's own board first seen 9d ago · last seen just now
The listing
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.
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.
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