Senior Solutions Architect, Industrial Robotics

NVIDIA•Santa Clara, CA
•$184,000 - $356,500

About The Position

NVIDIA is seeking a Senior Solutions Architect, Industrial Robotics, to engage with customers, partners, and NVIDIA software engineers in support of applications and platforms that use NVIDIA technology across industry segments. Solutions Architects serve as a bridge of technical expertise between industry teams, partners, and customers, working with developers, scientific researchers, data scientists, IT managers, and senior leaders. The role supports the adoption of NVIDIA platforms for machine learning, deep learning, and high-performance computing, with a focus on manufacturing applications and industrial robotics.

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, such as VLA, VLM, Transformers, or synthetic data generation software development, with knowledge of parallel computing with GPUs.
  • Background working with modern application deployment practices, including Docker/containers and Kubernetes.
  • Experience with modern deep learning software architecture and frameworks.
  • Strong written and oral communication skills and the ability to collaborate effectively with management and engineering.
  • Experience supporting customers or partners in technical engagements.
  • Strong time-management and organizational skills for coordinating multiple initiatives, priorities, and technology and product implementations in complex projects.
  • Strong analytical and problem-solving skills.

Nice To Haves

  • Experience applying AI to robotics and humanoid use cases, including VLA or VLM training, simulation, and digital twins.
  • Experience with frameworks such as TensorFlow, PyTorch, and TRT, and models such as Vision Transformer.
  • Background with NVIDIA simulation tools such as Isaac Sim and Isaac Lab.
  • Experience using GPU programming and design practices and profiling tools such as Nsight Systems.
  • Deep neural network research and development experience in specialized domains.
  • Published thought leadership in a technical area of simulation, robotics, or data generation, or AI or machine learning research and development experience with industry data.

Responsibilities

  • Partner with industry and account teams to understand customer goals, strategies, and technical needs and help define and deliver high-value solutions.
  • Document and share technical knowledge through targeted samples, whitepapers, blogs, wiki articles, and direct problem-solving with customers.
  • Provide industry leadership on integrating NVIDIA technology into manufacturing use cases involving AI, HPC, and enterprise GPU and networking architectures for advanced datacenter and edge applications.
  • Strategically partner with lighthouse customers and industry-specific solution partners targeting NVIDIA's computing platform.

Benefits

  • Equity
  • Benefits
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