Nvidia
Senior Forward Deployed Engineer, Open Models
US, CA, Santa Clara · Senior
Sponsorship not specifiedDetected 3 days ago
PythonNode.jsFull-Stack DevelopmentMachine LearningDeep LearningPyTorchData EngineeringNLPLLMsResearchCommunicationProblem SolvingOrganizational Skills
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Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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Context, not a finding about this posting: of this employer's 399 green-card filings in this occupation, 96% were for a worker who already held the job.
Green-card follow-through: 95%
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About the role
- Are you one of the strongest post-training applied researchers you know?
- Ready to take a model from a first customer conversation all the way to production?
- Each use case becomes a post-training and harness strategy with the right methods, data, evaluation, and success criteria.
Responsibilities
- The work is hands-on, as we build together with the ecosystem.
- We tune the harness (prompting, tool use, orchestration, and context management) so the model shines in a specific domain, and we optimize inference so it runs cost-effectively in production.
- We scale our impact by building reusable recipes, reference pipelines, and playbooks that let partners succeed independently and help the ecosystem mature in building domain-specific AI.
- We connect NVIDIA's model research to partner and customer use cases, unlocking the post-trainability and inference cost-effectiveness of our models, and work with our product, research, and engineering teams to bring field insights back into Nemotron, Cosmos, and our software stack.
- Above all, we're excited to help organizations worldwide build, own, and run their own AI on open source models!
- Excellent organizational skills, empathy for partner and customer needs, and the ability to drive complex decisions across teams and companies through trusted relationships.
- Strong problem-solving skills, intellectual curiosity, and a commitment to partner and customer success.
- Do you want to help the world build custom AI?
- We're hiring a Senior Forward Deployed Engineer to drive technical engagement with partners and customers across NVIDIA's open model portfolio, including NVIDIA Nemotron and NVIDIA Cosmos.
- We want any organization to build, own, and run its own AI on open source models, and this role helps the ecosystem get there at scale!
Requirements
- Hands-on experience with post-training data, including synthetic data pipelines, dataset curation and filtering, and evaluation sets.
- Experience with harness engineering for LLM and agentic systems.
- Proficiency in PyTorch, Hugging Face Transformers, Python, and Linux.
- Hands-on experience with Nemotron, Cosmos, and other open models, as well as both serverless and self-managed post-training platforms (e.g. Tinker APIs), including open-source frameworks such as NVIDIA NeMo and Megatron.
- Experience with multimodal or world-foundation-model post-training, and running training jobs on large GPU clusters with SLURM or Kubernetes.
Benefits
- designing evaluations, building synthetic data pipelines, and post-training with LoRA and other parameter-efficient methods, supervised fine-tuning, and reinforcement learning (synchronous and asynchronous).
Company info
- We also work directly with customers when the work calls for it.
- Proven ability to scope an engagement, shape an SOW, and lead delivery with partners and customers.
- Ways to Stand Out from the Crowd: A hands-on technical expert and problem solver who can clearly describe solution paths for complex challenges.
- History of enabling partners and customers to successfully adopt open models and NVIDIA technologies and platforms.
This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.