Senior Solutions Architect, Industrial Robotics

This is a fully remote position, open to applicants in California.

📋 Description

• Interact with customers, partners, and NVIDIA software engineers to enhance applications and platforms that utilize NVIDIA technology.

• Collaborate with industry and account teams to grasp customer objectives, strategies, and technical requirements.

• Design and implement high-value solutions tailored to customer needs.

• Capture knowledge and educate others through targeted samples, whitepapers, blogs, wiki articles, and by addressing customer challenges.

• Incorporate NVIDIA technology into Manufacturing use cases through AI, HPC, enterprise GPU, and networking architectures.

• Provide support for advanced applications in both datacenter and edge environments.

• Form strategic partnerships with lighthouse customers and industry-specific solution partners.

• Work jointly with internal developers, scientific researchers, data scientists, IT managers, senior leaders, customers, and partners.

⛳️ Requirements

• BS, MS, or PhD in Robotics, Engineering, Computer Science or equivalent experience.

• Over 8 years of relevant experience in robotics, humanoids, and AI sectors.

• Proficiency with VLA, VLM, Transformers, synthetic data generation, and software development.

• Understanding of parallel computing using GPUs.

• Familiarity with Docker/Containers and Kubernetes.

• Knowledge of modern deep learning software architecture and frameworks.

• Excellent written and verbal communication abilities.

• Experience in assisting customers and partners in technical engagements.

• Strong organizational and time-management skills.

• Robust analytical and problem-solving capabilities.

• Experience implementing AI in robotics and humanoid scenarios, including VLA, VLM training, simulation, and digital twins.

• Proficiency with TensorFlow, PyTorch, TRT, Vision Transformer, or comparable frameworks and models.

• Familiarity with NVIDIA edge platforms such as Jetson and Thor.

• Experience in GPU programming, design practices, and profiling tools like Nsight Systems.

• Background in Deep Neural Network research and development.

• Experience in Machine Learning research and development using industry data or a recognized record of technical thought leadership.

🏝️ Benefits

• Equity

• Benefits