Senior Solutions Architect, Industrial Robotics

About the role

We are looking for a Senior Solutions Architect, Industrial Robotics to engage with customers, partners, and other NVIDIA software engineers to support applications and platforms that leverage NVIDIA technology across all industry segments. At NVIDIA, Solutions Architects are elite developers and scientists who work with the latest GPU and networking hardware and software. You will bridge technical expertise between our industry teams, partners, and customers, dynamically engaging with internal developers, researchers, data scientists, IT managers, and senior leaders.

Responsibilities

• Partner with industry and account teams to understand customer goals, strategies, and technical needs, and help define and deliver high-value solutions.
• Document knowledge and teach others through targeted samples, whitepapers, blogs, wiki articles, or collaborative problem-solving with customers.
• Lead the integration of NVIDIA technology into manufacturing use cases with AI, HPC, and enterprise GPU/networking architectures for advanced applications in datacenters and at the edge.
• Strategically partner with lighthouse customers and industry-specific solution partners targeting NVIDIA’s computing platform.

Requirements

• BS, MS, or PhD in Robotics, Engineering, Computer Science, or equivalent experience.
• 8+ years of work-related experience in robotics, humanoids, and AI domains (e.g., VLA, VLM, Transformers, synthetic data generation, GPU-based parallel computing).
• Background in modern application deployment practices, including Docker/Containers and Kubernetes.
• Experience with modern deep learning software architecture and frameworks.
• Strong written and oral communication skills, with the ability to collaborate effectively with management and engineering teams.
• Experience supporting customers/partners in technical engagements.
• Strong time-management and organizational skills for coordinating multiple initiatives and complex projects.
• Strong analytical and problem-solving skills.

Skills

• Experience applying AI to robotics and humanoid use cases, such as VLA, VLM training, simulation, and digital twins.
• Experience with frameworks like TensorFlow, PyTorch, TensorRT (TRT), and models like Vision Transformers.
• Background with NVIDIA edge platforms, including Jetson, Thor, and related tooling.
• Experience with GPU programming, design practices, and profiling tools like Nsight Systems.
• Deep neural network research and development experience, particularly in specialized domains.
• Machine learning research and development experience with industry data or a published record of thought leadership in simulation, robotics, data generation, or AI.

Pay

Base salary range: $184,000–$287,500 USD (Level 4) or $224,000–$356,500 USD (Level 5), determined by location, experience, and comparable roles. Eligible for equity and benefits.