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Senior Solutions Architect, Robotics Simulation

NVIDIA· Architect, Solutions
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Hybrid (Santa Clara, CA), Hybrid (Remote (US, CA))$152k - $241.5kFull-timePosted 1mo ago

About the role

Hands-on Solutions Architect with expertise in robotics simulation, manipulation, and data generation to translate research into real-world robotics solutions, building and scaling simulation and sim-to-real workflows.

Responsibilities

  • Work with robotics partners to adopt, extend, and scale NVIDIA’s simulation technologies.
  • Build and optimize workflows spanning robot rigging, rigid and deformable-body physics, multi-solver integration, rendering, sensor simulation, and synthetic data generation.
  • Diagnose integration and performance bottlenecks across simulation, rendering, data movement, accelerated computing, and large-scale workloads.
  • Lead technical evaluations, proofs of concept, workshops, and reference implementations that accelerate platform adoption.
  • Validate emerging approaches with partners, including hybrid methods combining physics-based simulation with neural models, and apply them to learned-policy workflows and sim-to-real deployment.
  • Collaborate with NVIDIA Engineering, Product and business teams to translate ecosystem needs into product feedback, roadmap priorities, and reusable guidelines.

Qualifications

  • BS, MS, PhD, or equivalent experience in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field.
  • 5+ years of hands-on experience building robotics simulation applications.
  • Deep expertise with robotics simulation platforms like Isaac Sim, MuJoCo, Gazebo, or Drake, and core simulation domains such as physics, large-scale rendering, sensor modeling, or robot rigging.
  • Familiarity with ROS 2 and robotics description formats such as OpenUSD, URDF, or MJCF.
  • Proficiency in Python or C++, with experience integrating APIs and distributed software systems
  • Understanding of GPU-accelerated computing, and how to apply it to robotics simulation, and machine learning workflows.
  • Excellent communication and collaboration skills, with the ability to tackle complex problems alongside diverse audiences.

Skills

Required:Robotics simulationRobotics platformsROS 2 / URDF / OpenUSDProgrammingGPU-accelerated computingCommunication & collaboration

Benefits

  • You will also be eligible for equity and benefits.
Last updated Sep 18, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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