Senior Technical Program Manager – Forward Deployed Engineering

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• Oversee the technical strategy and implementation of NVIDIA's Forward Deployed Engineering initiatives within NVIDIA Nemotron and NVIDIA Cosmos.

• Act as the primary contact for NVIDIA, its partners, and end customers.

• Transform use cases into actionable plans that include scope, milestones, and success criteria.

• Ensure alignment among NVIDIA, partners, and customers from the initial discussions to production.

• Streamline program tasks such as SOWs, status updates, meeting summaries, and risk identification using AI agents.

• Develop and distribute agent workflows while assessing their outputs.

• Collaborate with FDEs and partner engineers on use cases, data handling, evaluations, post-training, and deployments.

• Influence data and program strategies, make informed technical decisions, and highlight issues proactively.

• Establish repeatable delivery processes, artifacts, playbooks, templates, and reusable agent workflows.

• Lead engagements through to delivery, coordinating with legal and partner teams regarding agreements, data sharing, and compute access.

• Recognize recurring trends across partners, use cases, open model builders, and cloud providers.

• Work in tandem with FDEs, sales, partner, and solutions teams.

• Report progress to leadership and convey field insights to Product, Engineering, and Research teams.

⛳️ Requirements

• A Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related discipline, or equivalent professional experience.

• Over 6 years of experience in technical program management, solutions architecture, forward deployed engineering, or technical customer delivery.

• Proven experience leading complex multi-party programs from concept to production.

• Familiarity with the LLM post-training lifecycle, covering data, evaluation, fine-tuning, reinforcement learning, and deployment.

• Practical proficiency in Python, alongside cloud and GPU infrastructure.

• Significant hands-on experience utilizing AI agents and agentic workflows for program execution, including planning, tracking, and reporting.

• Experience navigating open model, post-training and harness, and cloud provider ecosystems.

• Prior experience with multi-company engagements that involve executive personnel.

• Expertise in crafting SOWs and agreements, collaborating with legal and procurement teams, and managing data sharing and governance.

• Capacity to handle risks, dependencies, and decision-making with incomplete information.

• Ability to establish metrics and drive results.

• Clear articulation of complex technical concepts to both engineers and C-level executives.

• Strong organizational skills.

🏝️ Benefits

• Equity

• Benefits