Jobs
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
PublicA 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
News & Buzz
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
News
·
NaNw ago
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
News
·
NaNw ago
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
News
·
NaNw ago
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
News
·
NaNw ago