Senior Forward Deployed Engineer

Driving technical engagement with partners and customers, the full-time Senior Forward Deployed Engineer will focus on transforming NVIDIA's open model portfolio into production-ready AI solutions, collaborating closely with ecosystem teams and leading post-training strategies. Key responsibilities Drive AI solutions from discovery through deployment, collaborating with partners to create scalable architectures and deployment plans Lead technical engagements by scoping work, shaping statements of work, and delivering outcomes with partner engineering teams Connect NVIDIA's model research to practical use cases, optimizing post-training methods and inference cost-effectiveness Required qualifications Bachelor's, Master's, or PhD in Computer Science, Engineering, Machine Learning, or a related field, or equivalent experience 8+ years in ML or software engineering, with at least 3 years of hands-on experience in LLM post-training and production deployment Deep expertise in post-training methods, including LoRA/PEFT and reinforcement learning, along with a solid understanding of model architectures Experience with large-scale distributed training and optimization for memory efficiency and throughput Proficiency in PyTorch, Hugging Face Transformers, Python, and Linux, along with hands-on experience in harness engineering for LLM systems