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Senior Technical Program Manager - Agentic System

NVIDIAUs, California

$168,000 - $258,750 / year

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Overview

Schedule
Full-time
Education
Engineering (PE)
Career level
Director
Remote
On-site
Compensation
$168,000-$258,750/year
Benefits
Paid Vacation

Job Description

Join the team at the forefront of NVIDIA Agentics, Nemotron Edge Modeling & the Blueprint group. We connect foundational models with real-world applications, enabling advanced Agentic AI across sectors like smart manufacturing, public safety, and healthcare. Our mission is to support high-performance foundation models tailored for edge deployment. We also support NVIDIA Blueprints, which provide customizable, production-ready AI workflows. In addition, we support a team whose focus is to apply agentic AI patterns (autonomous or semi-autonomous AI agents) to security, threat modeling, code and dependency analysis, prompt-injection defenses, taint tracking, and agent red-teaming.

We are looking for a passionate Senior Technical Program Manager to join the journey, with a focus on agentic AI workflow and execution. In this role, you will drive and coordinate cross-functional teams to successfully manage and complete large-scale technical projects from concept to deployment. 

What You’ll Be Doing:

  • Integral member of Agentic AI workflow and execution

  • Lead cross-functional AI initiatives, coordinating between research, engineering, and product teams to deliver agentic AI features and systems.

  • Collaborate with engineering on sprint planning, stand-ups, sprint review, and retrospectives.

  • Work with engineering and product on shaping the roadmap and providing PORs to help with execution. 

  • Ensure technical alignment and execution, translating research concepts into production-ready capabilities.

  • Establish standards to help improve productivity. 

  • Manage dependencies and risks across multiple AI projects, ensuring achievements are met, and resources are effectively allocated.

  • Use the Jira dashboard to help with various reporting and Confluence to provide program updates to the core and leadership team

  • Work closely with the engineering team on various KPIs to improve the overall execution process and deliverables

  • Communicate progress and insights clearly to executives and technical stakeholders, anchoring decisions with data and measurable outcomes.

What we need to see:

  • Bachelor's degree in Engineering or Computer Science (or equivalent experience) with 8+ years of proven experience in technical program management, ideally in LLM/Agentic AI projects.

  • Validated track record leading complex AI initiatives from initial prototype stages to full production.

  • Strong technical expertise combined with organizational leadership skills, effectively bridging research and implementation.

  • Demonstrated success in prioritizing tasks and fostering alignment across teams, customers, and partners.

  • Proficient in Agile methodologies and experienced with Jira, capable of guiding engineering teams in Agile and Scrum practices.

Ways to stand out from the crowd:

  • Strong understanding of LLM (Large Language Model) architecture, frameworks (e.g., OpenAI, Anthropic, Hugging Face), and model evaluation.

  • Understanding of agentic AI systems — multi-agent frameworks, tool orchestration, and autonomous workflow design.

  • Deep curiosity about the frontiers of autonomous AI agents and real-world agent orchestration.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: AI, Data Engineering, and Data Science. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 4, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

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FAQs About Senior Technical Program Manager - Agentic System Jobs at NVIDIA

What is the work location for this position at NVIDIA?
This job at NVIDIA is located in Us, California, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at NVIDIA?
Candidates can expect a pay range of $168,000 and $258,750 per year.
What employment applies to this position at NVIDIA?
NVIDIA lists this role as a Full-time position.
What experience level is required for this role at NVIDIA?
NVIDIA is looking for a candidate with "Director" experience level.
What education level is required for this job?
The education requirement for this position is Engineering (PE). Candidates with relevant qualifications or equivalent experience may also be considered.
What benefits are offered by NVIDIA for this role?
NVIDIA offers Paid Vacation for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at NVIDIA?
You can apply for this role at NVIDIA either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.