Role at a glance
- Job function
-
Software Engineering & IT Technical Program Management
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Santa Clara, California, United States
- Employment
- Full-time
- Experience
- Senior Level BS degree in Computer Science, Artificial Intelligence, or equivalent experience plus 10 years of experience leading global technical programs
- Education
- BS degree in Computer Science, Artificial Intelligence, or equivalent experience plus 10 years of experience leading global technical...
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Role Summary
Senior Technical Program Manager role on NVIDIA's AI Platform Inference team, leading critical programs across software, hardware, and tooling and owning the full program lifecycle from planning through delivery.
What You'll Do
- 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.
- Identify process gaps and implement improvements that increase delivery quality and team efficiency.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
A BS degree or equivalent experience plus 10 years leading global technical programs, with program management and engineering process skills.
Required
- BS degree in Computer Science, Artificial Intelligence, or equivalent experience plus 10 years of experience leading global technical...
- 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
Preferred
- 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, investing in the teams around them
- Familiarity with open-source inference frameworks or model optimization tooling
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
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.#deeplearningAbout the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.