招聘
必备技能
Python
Docker
PyTorch
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.We are seeking a software engineer to join the Isaac Lab team and propel our flagship platform for robot learning to new heights. Our mission is to become the industry's leading tool, redefining how autonomous systems are trained and shaping the future of robotics and AI.
What you’ll be doing:
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Design, build, and maintain CI/CD pipelines, Docker images, and release workflows for large-scale robotics simulation and learning systems.
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Automate workflows and scale simulation, training, and evaluation in cloud and local environments.
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Perform extensive CPU and GPU benchmarking, profiling, and regression analysis to ensure best-in-class system performance, stability, and reproducibility.
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Own system-level performance metrics (simulation step time, rendering throughput, training iteration speed) and proactively identify bottlenecks.
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Support issue triage by creating reproducible environments and performance test cases.
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Collaborate with research and engineering teams across NVIDIA to ensure reliable integration of simulation, learning, and rendering components.
What we need to see:
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BS, MS, or PhD degree in Computer Science, or equivalent experience.
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Strong software engineering skills in Python; familiarity with the deep-learning software stack (Py Torch preferred) and NVIDIA Warp.
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3 years experience with infrastructure for ML or simulation systems (CI/CD, Docker, distributed or GPU workloads).
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Hands-on experience profiling and optimizing complex systems.
Ways to stand out from the crowd:
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Prior experience with Isaac Sim, Isaac Lab, Isaac Gym, or Mujoco.
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Experience maintaining CI or infrastructure for robotics, simulation, or ML platforms; and diagnosing performance regressions across physics, rendering, and learning pipelines.
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Contributions to open-source infrastructure or tooling.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our product lines are growing fast in some of the hottest fields such as virtual reality, deep learning, artificial intelligence, and more. Come join us at NVIDIA!
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关于NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
员工数
Santa Clara
总部位置
$4.57T
企业估值
评价
4.4
10条评价
工作生活平衡
2.8
薪酬
4.2
企业文化
4.3
职业发展
4.1
管理层
3.8
78%
推荐给朋友
优点
Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
缺点
Work-life balance challenges
High pressure and stress
Long hours required
薪资范围
67个数据点
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
7份报告
$170,275
年薪总额
基本工资
$130,981
股票
-
奖金
-
$155,480
$234,166
面试经验
5次面试
难度
3.0
/ 5
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
新闻动态
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 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.
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·
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
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