
Senior Technical Program Manager, AI Inference
Required skills
- Artificial Intelligence
- 10 years of experience
- hardware bring-up processes
- enterprise quality standards
- Scaled Agile frameworks
- program tracking tools
- resource conflicts
- unblock teams
- technical and business audiences
Nice to have
- machine learning
- deep learning
- GPU technology
- AI infrastructure
- production AI software
- software-hardware programs
Role summary
NVIDIA's AI Platform Inference team is seeking a Senior Technical Program Manager to lead critical programs across software, hardware, and tooling. This role involves owning the full program lifecycle from planning to delivery, driving execution with speed and precision in a technically complex environment. Responsibilities include planning, scheduling, dependency tracking, executive reporting, coaching teams on agile practices, building metrics for risk assessment, and improving delivery quality and efficiency. The ideal candidate will have a BS in Computer Science or equivalent experience, 10 years of experience leading global technical programs, solid knowledge of software engineering, hardware bring-up, and quality standards, and proficiency with Scaled Agile frameworks. Experience in AI inference, machine learning, deep learning, GPU technology, or AI infrastructure is preferred.
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.
Applications for this job will be accepted at least until October 27, 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.#deeplearningOriginally posted on Himalayas
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