Senior Technical Program Manager – Forward Deployed Engineering

🔥 12 hours ago

🏄 California, North Carolina, +2 more states – Remote

🏄 California – Remote 🌲 North Carolina – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🔧 Technical Program Manager

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Lead the technical strategy and execution of NVIDIA’s Forward Deployed Engineering engagements across NVIDIA Nemotron and NVIDIA Cosmos • Serve as the main point of contact for NVIDIA, partners, and end customers • Turn use cases into plans with scope, milestones, and success criteria • Keep NVIDIA, partners, and customers aligned from initial conversations through production • Automate program work such as SOWs, status updates, meeting synthesis, and risk flags using AI agents • Build and share agent workflows and review their outputs • Work with FDEs and partner engineers on use cases, data, evaluation, post-training, and deployment • Shape data and program strategy, make technical decisions, and surface issues early • Define repeatable delivery processes, artifacts, playbooks, templates, and reusable agent workflows • Drive engagements through delivery and coordinate with legal and partner teams on agreements, data sharing, and compute access • Identify recurring patterns across partners, use cases, open model builders, and cloud providers • Collaborate with FDEs, sales, partner, and solutions teams • Report progress to leadership and share field insights with Product, Engineering, and Research

🎯 Requirements

• 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 • Experience leading complex multi-party programs from proof of concept to production • Working knowledge of the LLM post-training lifecycle, including data, evaluation, fine-tuning, reinforcement learning, and deployment • 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 • Experience working across open model, post-training and harness, and cloud provider ecosystems • Experience with multi-company engagements involving executives • Experience shaping SOWs and agreements, working with legal and procurement, and handling data sharing and governance • Ability to manage risks, dependencies, and decisions with incomplete information • Ability to define metrics and drive outcomes • Clear communication of complex technical ideas from engineers to C-level executives • Excellent organizational skills

🏖️ Benefits

• Equity • Benefits