← All roles

Director, Forward Deployed Engineering - Open Models

NVIDIA· Mgmt, Solutions Architect
Apply on company site
Santa Clara, CA$320k - $488.8kfull-timePosted 4d ago

About the role

Director level leader to build and lead NVIDIA’s Forward Deployed Engineering organization for open models (Nemotron and Cosmos) across North America, focusing on turning open models into production-ready AI tuned to specific domains via NVIDIA’s partner ecosystem.

Responsibilities

  • Set strategy and lead the team delivering custom AI to end customers through NVIDIA’s partner ecosystem; deepen partner relationships and lead three-way engagements among NVIDIA, partner, and end customer.
  • Hire and develop FDE leads, managers, and senior engineers across North America; establish growth paths and scalable team structure.
  • Define technical direction for post-training, evaluation, harness engineering, and inference optimization; stay current with open model post-training and agent landscape; pursue new use cases and partner opportunities.
  • Forge trusted relationships with partner and end-customer leaders; shape joint plans and agreements; drive three-way engagements to production; enable partners with reusable recipes, reference pipelines, and playbooks.
  • Bridge NVIDIA’s model research with partner/customer use cases; collaborate with Product, Research, and Engineering to integrate field insights into Nemotron, Cosmos, and software stack; align priorities with sales, partner, and solutions leadership; communicate with NVIDIA leadership.
  • Help organizations worldwide build, own, and run AI on open source models.

Qualifications

  • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Machine Learning, or related field, or equivalent experience.
  • 14+ years in ML or software engineering, applied AI, FDE, or solutions architecture; 8+ years leading technical teams; 5+ years hands-on LLM post-training with production deployment.
  • Track record of building and scaling technical organizations across multiple locations/time zones; experience managing managers/leads; setting goals and measuring results for customer-facing teams.
  • Deep technical credibility in post-training (LoRA/PEFT, SFT, RL techniques), model architectures, synthetic data, evaluation; agent harness engineering and optimization for LLM/agentic systems; knowledge of distributed training and inference optimization across multi-GPU/multi-node systems.
  • Strong understanding of partner/open model/cloud ecosystem; ability to align multiple partners and customers on engagements; drive ecosystem demand and matchmaking.

Skills

Required:Post-training and model tuning (LoRA/PEFT, SFT)Agent harness engineering and optimization for LLMsDistributed training and inference optimizationPartner ecosystem engagement

Benefits

  • Equity
  • benefits (see company benefits page)
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA