Senior Solutions Architect, Robotics Simulation

NVIDIA • Us, CA

10d

About The Position

We are building a team of innovators helping robotics partners develop and adopt the next generation of Physical AI, spanning simulation, data generation, model training, and deployment! We are looking for a hands-on Solutions Architect with strong applied engineering expertise in robotics simulation, manipulation, and data generation. You will work closely with robotics researchers and developers to translate emerging research into real-world robotics solutions, building and scaling simulation and sim-to-real workflows. Collaboration spans NVIDIA Research, Engineering, Product, and customers, helping shape both our robotics platforms and customer's real-world adoption. Come join us and help accelerate the future 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 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.

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, IL, as well as 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 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.

Benefits

• equity
• benefits

What This Job Offers

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