Senior Forward Deployed Engineer, Open Models
Core
Drive technical engagement with partners and customers to turn NVIDIA's open models (Nemotron, Cosmos) into production-ready AI tuned to specific domains via post-training and harness optimization.
Role type
Senior Forward Deployed Engineer (Applied AI/LLM Post-Training)
Builds
Custom AI solutions, post-training strategies, harness optimization recipes, and reference pipelines for partners and customers.
Domain
Generative AI, Large Language Models (LLMs), Open Source Models, Cloud Infrastructure
Deliverable
production ML models
Required skills
LLM post-training (LoRA/PEFT, SFT, RL), distributed training & inference optimization, synthetic data pipelines, harness engineering (prompting, orchestration), PyTorch, Python, Linux
Preferred skills
Experience with NVIDIA NeMo/Megatron, multimodal/world-foundation-model post-training, SLURM/Kubernetes, serverless/self-managed platforms
Technologies
PyTorch, Hugging Face Transformers, Python, Linux, NVIDIA NeMo, Megatron, SLURM, Kubernetes
Responsibilities
Scope engagements and shape Statements of Work (SOW), lead delivery with partner engineering teams, build reusable recipes and playbooks, tune model architectures and hyperparameters, optimize inference for cost-effectiveness.
Seniority
Senior, hands-on IC
