Senior Technical Program Manager, Forward Deployed Engineering

NVIDIA Corporation; United States; Remote; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a Senior Technical Program Manager to lead the technical strategy and execution of Forward Deployed Engineering engagements across NVIDIA Nemotron and NVIDIA Cosmos. You will serve as the key interface for NVIDIA, partners, and customers, turning use cases into production plans and driving collaboration to deliver AI solutions.

You will automate processes, define playbooks, and manage risks while aligning executive stakeholders.

Qualifications

• 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, incl. 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).
• Practical comfort with Python and cloud and GPU infrastructure.
• Hands-on experience using AI agents and agentic workflows to run programs, including planning, tracking, and reporting.
• Experience across open model, post-training and harness, and cloud provider ecosystems, incl. 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.

Responsibilities

• Set the technical direction for each FDE engagement and be the main contact for NVIDIA, partner, and end customer.
• Turn use cases into clear plans with scope, milestones, and success criteria.
• Automate processes and artifacts (SOWs, status updates, meeting synthesis, risk flags).
• Build and review agent workflows and outputs with sound judgment.
• Scope engagements with FDEs and partner engineers and identify risks early.
• Shape data and program strategy to drive outcomes and create playbooks and templates.
• Drive engagements through delivery; coordinate with legal, procurement, and data sharing teams.
• Align NVIDIA, partners, and customers on priorities and report progress to leadership.

Skills

Python

Cloud computing

GPU infrastructure

Communication

Program management

Education

Bachelor’s/Master’s/PhD in CS or Engineering

Job description

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. Our FDE engagements run through the partner ecosystem, so each one involves three parties: NVIDIA, the partner, and the end customer. This leader is the key interface for all three, keeping them aligned from the first use-case conversation through model and harness customization to production. It’s a great fit for someone with strong technical depth, ecosystem experience, and a habit of using AI agents and tools to automate program work. Are you a program leader who delivers results, not just status updates? We’d love to meet you! 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!

What you’ll be doing:

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.

What we need to see:

• 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.

Ways to Stand Out from the Crowd:

• 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.

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.

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