NVIDIA is looking for a Robotics Solution Architect – DNN Training and Vision-Language-Action Models to serve as the primary technical expert between NVIDIA and our customers. You will provide AI solutions guidance, build compelling proof-of-concepts for robotics applications, and collaborate across teams to integrate NVIDIA technology.
What You'll Do
- Serve as the primary technical expert between NVIDIA and customers, understanding their technology to provide optimal AI solutions and guidance on training processes.
- Build proof-of-concepts and demonstrations that highlight the power of NVIDIA AI platforms in robotics.
- Partner with developers, researchers, technology specialists, IT professionals, and executives to facilitate the integration of NVIDIA technology.
- Work with Engineering, Product, and Sales teams to develop and plan the best suitable solutions for customers, enabling product growth through feedback and evaluations.
What We're Looking For
- MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields.
- Deep expertise in AI/Deep Learning, with hands-on experience in training or optimizing VLMs for production.
- Expertise with deep learning frameworks for training VLMs (PyTorch, Nemo), and/or experience with model optimization methods and tools (TensorRT, Triton Inference Server).
- Excellent verbal, written communication, and technical presentation skills in English.
- 5+ years' work or research experience with Python, C++, or other software development.
- A passion for AI with a growth mindset, and the ability to collaborate effectively with different teams in a rapidly evolving environment.
Nice to Have
- Familiarity with Cosmos (e.g., Cosmos-Reason) and the Isaac GR00T family of models.
- Familiarity with robotics simulation environments like Isaac Sim, Isaac Lab, or MuJoco.
- Experience in large-scale training and understanding of modern model, data, expert, and context parallel training techniques.
- A track record in Neural Networks inference optimization for Physical AI use cases.
Technical Stack
- PyTorch, Nemo, TensorRT, Triton Inference Server
- Python, C++
- Cosmos, Isaac GR00T
- Isaac Sim, Isaac Lab, MuJoco
Team & Environment
This role is part of the Worldwide Field Operations (WWFO) team and involves close collaboration with Engineering, Product, Sales, and Marketing teams.
Benefits & Compensation
- Highly competitive salaries
- Comprehensive benefits package
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We highly value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
