NVIDIA
Senior Solutions Architect, Industrial Robotics
$184K–$356K
US, CA, Santa Clara +1 · Senior · Full-time · Posted Aug 10, 2026
- Location
- US, CA, Santa Clara
US, CA, Remote - Experience
- 8+ years of work-related experience in robotics, humanoids, and AI domains.
- Education
- BS, MS, or PhD in Robotics, Engineering, Computer Science, or equivalent experience.
About the job
Works with customers, partners, and internal teams to define and deliver NVIDIA technology solutions for industrial robotics and manufacturing, including AI, HPC, and datacenter and edge architectures.
What you'll do
- Understand customer goals and technical needs, then help define and deliver solutions.
- Create technical materials and teach others through samples, whitepapers, blogs, wiki articles, and customer problem-solving.
- Guide integration of NVIDIA technology into manufacturing use cases and partner with customers and solution providers.
What they ask for
- BS, MS, or PhD in Robotics, Engineering, Computer Science, or equivalent experience.
- 8+ years of work-related experience in robotics, humanoids, and AI domains, with knowledge of GPU parallel computing.
- Background in application deployment practices such as Docker/Containers and Kubernetes, and experience with modern Deep Learning software architecture and frameworks.
- Experience supporting customers or partners in technical engagements; strong communication and collaboration skills.
Nice to have
- Experience applying AI to robotics or humanoid use cases, including VLA/VLM training, simulation, and digital twins; Tensorflow, Pytorch, TRT, or Vision Transformer.
- Experience with NVIDIA simulation tooling such as Isaac Sim and Isaac Lab, GPU programming and Nsight systems, or relevant AI research and technical thought leadership.
Pay
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
Docker/Containers, Kubernetes, Tensorflow, Pytorch, TRT, Vision Transformer, Isaac Sim, Isaac Lab
AI focus
Integrating AI into industrial robotics and manufacturing, including VLA/VLM, transformers, synthetic data generation, simulation, digital twins, and deep learning.
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