Director, Forward Deployed Engineering - Open Models - CA, Santa Clara, United States
$320,000 - $488,750 USD yearly
Originally posted 18 October 2026 by the employer.
Lead technical delivery of domain-specific deployments using NVIDIA Nemotron and NVIDIA Cosmos open models.
About the role
NVIDIA is hiring a founding Director to build and lead the Forward Deployed Engineering organization for open models across North America. The technical focus centers on turning open models, including NVIDIA Nemotron and NVIDIA Cosmos, into domain-specific, production-ready AI through the partner ecosystem.
What you'll do
- Set the regional strategy and build the Forward Deployed Engineering organization, hiring and developing leads, managers, and senior engineers. - Establish the technical direction for post-training, evaluation, agent harness engineering, and inference optimization across customer engagements. - Lead three-way technical engagements among NVIDIA, partners, and end customers to deliver domain-specific AI into production. - Build reusable recipes, reference pipelines, and playbooks that enable partner engineering teams to scale deployments independently. - Collaborate with Product, Research, and Engineering to channel field requirements directly back into Nemotron, Cosmos, and software stacks.
What you'll need
- Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Machine Learning, or a related field, or equivalent experience. - 14+ years in ML or software engineering, applied AI, FDE, or solutions architecture, including 8+ years leading technical teams and 5+ years of hands-on LLM post-training with models taken to production. - Proven experience building and scaling technical teams across locations and time zones, including managing managers or leads. - Technical expertise in post-training (LoRA/PEFT, SFT, and synchronous and asynchronous reinforcement learning), model architectures, synthetic data, evaluation, agent harness engineering, and multi-GPU/multi-node distributed training and inference optimization. - Experience scoping technical engagements, shaping SOWs, and delivering across simultaneous partner and customer deployments. - Ability to travel to partner, customer, and NVIDIA sites up to 25%.
Skills: Forward Deployed Engineering, open models, production-ready AI, partner ecosystem, post-training, agent harness engineering
This role has been open 0 days — well below the 67-day median for Technical Program Management roles.
Technical Program Management · AI ML Hardware
|
Open roles in category
63
|
Median days open
67 d
|
Median salary
$245k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (63 roles · 19 employers) |
|---|---|---|
| Open roles in this specialty | 15 | 63 |
| Median days open | 82 d | 67 d (+15 d vs this employer) |
| Median salary (USD postings) | — | $245k |
Skills observed across this category: Forward Deployed Engineering, open models, production-ready AI, partner ecosystem, post-training, agent harness engineering
Who's hiring in this category
- NVIDIA (this employer) · 14 open roles · median 82 d
- Micron Technology · 11 open roles · median 18 d
- Qualcomm · 7 open roles · median 73 d
- AMD · 6 open roles · median 46 d
- Tenstorrent · 4 open roles · median 68 d
- Lam Research · 3 open roles · median 67 d
How we counted: 63 open Technical Program Management (AI ML Hardware) roles from 19 employers tracked in the SemiconductorJobs index, counted 19 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.
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