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Senior Simulation Architect, Humanoid Robotics

NVIDIA

Senior Simulation Architect, Humanoid Robotics

NVIDIA

China, Shanghai

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Professional development budget

Comprehensive health, dental, and vision insurance

Parental leave

401(k) matching

Flexible work arrangements

Generous paid time off and holidays

Learning

Healthcare

Parental Leave

Flexible Hours

Required Skills

JavaScript

Node.js

Python

About the Role

NVIDIA accelerates humanoid robots' development with the Isaac solution and GR00T blueprint. We're now looking for a robotics expert, especially in simulation to support this effort. As a Solutions Architect, you'll collaborate with an exceptional and highly collaborative research team known for influential work in multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation, pushing the frontier of humanoid robotics.

Responsibilities

  • Develop and maintain simulation environments built on frameworks like Mu JoCo, and Isaac Lab to support robotics research
  • Implement and test control algorithms and XR teleoperation interfaces for simulated robots
  • Build procedural generation pipelines for diverse environments, object layouts, and robot motions
  • Optimize GPU-based physics simulator performance for large-scale training workloads
  • Import, configure, and validate robot assets in USD format, ensuring successful sim2real transfer
  • Implement Sim2Real pipelines and deploy learned models to physical robots

Qualifications

  • Bachelor's degree in Computer Science, Robotics, Engineering, or a related field
  • 3+ years of full-time industry experience on robotics and/or physics simulation
  • Proficiency in languages such as Python, C++, and experience with one or more physics simulators such as Mu JoCo, Isaac Sim, Py Bullet, Drake, or Gazebo
  • Deep knowledge of state-of-the-art simulation techniques, such as accurate contact dynamics for manipulation and locomotion, and photorealistic rendering for perception
  • Expertise in generating simulation assets, task definitions, and building Gym-style APIs to support neural network training

Ways to Stand Out

  • Master's or PhD's degree in Computer Science, Robotics, Engineering, or a related field
  • Experience at humanoid robotics companies on physics simulation
  • Hands-on experience with deploying and debugging neural network models on robotic hardware
  • Expertise at reinforcement learning and neural network training
  • Demonstrated Tech Lead experience, coordinating a team of robotics engineers and driving projects from conception to deployment

About NVIDIA

NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.

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About NVIDIA

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

Employees

Santa Clara

Headquarters

$4.57T

Valuation

Reviews

4.1

10 reviews

Work Life Balance

3.5

Compensation

4.2

Culture

4.3

Career

4.5

Management

4.0

75%

Recommend to a Friend

Pros

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

Cons

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

Salary Ranges

47 data points

Junior/L3

Mid/L4

Junior/L3 · Analyst

7 reports

$170,275

total / year

Base

$130,981

Stock

-

Bonus

-

$155,480

$234,166

Interview Experience

7 interviews

Difficulty

3.1

/ 5

Experience

Positive 0%

Neutral 86%

Negative 14%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

Common Questions

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR