Robotics Simulation Architect for Physical AI

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA is seeking a hands-on Solutions Architect to translate robotics research into scalable real-world solutions, building and scaling simulation and sim-to-real workflows with researchers and developers.

You will extend NVIDIA’s simulation tech (Isaac Sim, MuJoCo, Gazebo), optimize workflows for robot rigging, physics, rendering, and data generation, and drive performance improvements across large-scale systems.

Qualifications

• BS, MS, or PhD in Robotics, CS, ME, EE, or related field.
• 5+ years of hands-on experience building robotics simulation applications.
• Deep expertise with 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.

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.

Skills

Robotics

Simulation

Python

C++

ROS 2

OpenUSD/URDF/MJCF

Education

BS/MS/PhD in Robotics or related field

Tools

Isaac Sim

MuJoCo

Gazebo

Drake

Job description

NVIDIA is seeking a hands-on Solutions Architect to translate robotics research into scalable real-world solutions, building and scaling simulation and sim-to-real workflows with researchers and developers.

You will extend NVIDIA’s simulation tech (Isaac Sim, MuJoCo, Gazebo), optimize workflows for robot rigging, physics, rendering, and data generation, and drive performance improvements across large-scale systems.