Senior Solutions Architect, Robotics Simulation

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a hands-on Solutions Architect to advance robotics simulation, data generation, and sim-to-real workflows. You will partner with researchers, engineers, and customers to translate cutting-edge research into scalable, real-world robotics solutions.

You will lead evaluations, implement reference workflows, and optimize performance across physics, rendering, and data movement. Collaboration with NVIDIA Research, Engineering, and Product will shape our platform and customer

Qualifications

• Experience building robotics simulation applications.
• Deep expertise with robotics simulation platforms and physics.
• Familiarity with ROS 2 and robotics description formats (OpenUSD, URDF, MJCF).
• Proficiency in Python or C++, API integration, and distributed systems.

Responsibilities

• Work with robotics partners to adopt, extend, and scale NVIDIA’s simulation technologies.
• Build and optimize workflows spanning rigging, physics, multi-solver integration, rendering, sensor simulation, and synthetic data.
• Diagnose integration and performance bottlenecks across simulation, rendering, data movement, and large-scale workloads.
• Lead technical evaluations, PoCs, workshops, and reference implementations.
• Validate approaches with partners, including hybrid physics and neural methods for sim-to-real workflows.
• Collaborate with NVIDIA teams to translate ecosystem needs into roadmap priorities and guidelines.

Skills

Python

C++

APIs

Distributed systems

GPU computing

Communication

Collaboration

Robotics domain knowledge

Education

BS, MS, PhD or equivalent

Tools

Isaac Sim

MuJoCo

Gazebo

Drake

ROS 2

OpenUSD

URDF

MJCF

Job description

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!

What You’ll Be Doing:

• 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.

What We Need to See:

• 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.

Ways to Stand Out From the Crowd:

• 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 15, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.