Senior Solutions Architect, Robotics Simulation

NVIDIA • Santa Clara, CA

10d • $184,000 - $287,500

About The Position

NVIDIA is seeking a hands-on Solutions Architect with applied engineering expertise in robotics simulation, manipulation, and data generation. The role works closely with robotics researchers, developers, partners, and customers to translate emerging research into practical robotics solutions and build and scale simulation and sim-to-real workflows. Collaboration spans NVIDIA Research, Engineering, Product, and customers, helping shape NVIDIA’s robotics platforms and support real-world adoption of Physical AI.

Requirements

• 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 such as 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.

Nice To Haves

• Hands-on knowledge of NVIDIA simulation technologies such as Isaac Sim, Newton, PhysX, RTX, or NVIDIA Warp.
• Previous work with Isaac Lab, large-scale reinforcement learning, data generation, or video and data reconstruction pipelines.
• Industrial manipulation background spanning grasping, perception-guided motion planning, force and impedance control, and learned approaches such as RL and IL; experience integrating virtual controllers and contact-rich manipulation simulations.
• Familiarity with simulation-to-real techniques, including system identification, domain randomization, calibration, and validation on real hardware.
• Track record of working with robotics companies, researchers, or developers to bring new technologies into production.

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 to 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.

Benefits

• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior