17d ago

Senior Technical Program Manager, Forward Deployed Engineering

6 Locationssenior
OperationsProject Manager
1 views0 saves0 applied

Quick Summary

Key Responsibilities

This role sets the technical direction for each FDE engagement and serves as the main point of contact for NVIDIA, the partner, and the end customer.

Requirements Summary

Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field, or equivalent experience. 6+ years in technical program management, solutions architecture,

Technical Tools
OperationsProject Manager

Do you want to help the world build custom AI at scale? We’re hiring a Senior Technical Program Manager to lead the technical strategy and execution of NVIDIA’s Forward Deployed Engineering engagements across NVIDIA Nemotron and NVIDIA Cosmos. This role turns each engagement into a customer success story, taking domain-specific AI from first idea to production. It combines a solution architect’s technical depth with engagement strategy and ecosystem alignment.

Responsibilities

~2 min read
  • →This role sets the technical direction for each FDE engagement and serves as the main point of contact for NVIDIA, the partner, and the end customer. It turns each use case into a clear plan with scope, milestones, and success criteria, and keeps all three parties aligned from first conversation to production. Collaboration is central: build trust and shared goals across NVIDIA, partners, and customers.
  • →We run programs with agents. Automate everything that can be automated, including SOWs, status updates, meeting synthesis, and risk flags, so the team’s time goes to decisions and relationships. Build and share agent workflows, and review their output with good judgment.
  • →The work is technical. Work with FDEs and partner engineers to understand the use case, data, evaluation approach, and post-training and deployment path well enough to scope engagements and spot risks early. Shape the data and program strategy, make the technical decisions that drive outcomes, and use agents to surface issues sooner.
  • →Build the way we deliver- Define the processes and artifacts that make every engagement repeatable, and turn what works into playbooks, templates, and reusable agent workflows. Drive each engagement through delivery, work with legal and partner teams on agreements, data sharing, and compute access, and clear blockers early.
  • →Look across partners, use cases, open model builders, and cloud providers to see where NVIDIA adds the most value and spot repeating patterns. Work hand in hand with FDEs, sales, partner, and solutions teams, keep NVIDIA and partner priorities aligned, report progress to leadership, and bring the patterns and insights from the field back to Product, Engineering, and Research.

Requirements

~1 min read
  • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field, or equivalent experience.
  • 6+ years in technical program management, solutions architecture, forward deployed engineering, or technical customer delivery, including leading complex multi-party programs from proof of concept to production.
  • Working knowledge of the LLM post-training lifecycle (data, evaluation, fine-tuning and reinforcement learning, deployment), with enough technical depth to engage credibly with ML engineers. Practical comfort with Python and cloud and GPU infrastructure.
  • Strong hands-on experience using AI agents and agentic workflows to run programs, including planning, tracking, and reporting, and the judgment to validate their output.
  • Experience working across the open model, post-training and harness, and cloud provider ecosystems, including multi-company engagements with executives.
  • Experience shaping SOWs and agreements, working with legal and procurement, and handling data sharing and governance.
  • Proven ability to manage risks, dependencies, and decisions with incomplete information, and to define metrics and drive to outcomes.
  • Clear communication of complex technical ideas, from engineers to C-level executives. Excellent organizational skills.

  • Built custom agentic solutions that automate program and engagement work, with a track record of delivering faster, better results.
  • A strong record of coordinating multi-party engagements and driving delivery for complex technical efforts.
  • Prior experience working with FDEs or in FDE engagements.
  • A proactive style, with the ability to move engagements forward even in uncertain or ambiguous scenarios.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 24, 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.

Location & Eligibility

Where is the job
Not specified
Location terms not specified
Who can apply
Same as job location

About this job

Posted
17 days ago
Employer
has 3,400 open jobs on Jobera in 29 countries.

Listing Details

Posted
October 20, 2026
First seen
October 23, 2026
Last seen
October 27, 2026

Posting Health

Days active
14
Repost count
0
Trust Level
18%
Scored at
November 7, 2026

Signal breakdown

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Senior Technical Program Manager, Forward Deployed Engineering