採用
福利厚生
•Equity
必須スキル
Python
Reinforcement Learning
Imitation Learning
Motion Planning
Trajectory Optimization
CUDA
GPU Programming
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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Develop the next features for our platform, such as perception-in-the-loop reinforcement learning, multi-agent/multi-task learning, and VLA & RL integration.
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Collaborate with internal teams on sim-to-real efforts, including defining workflows for domain randomization, sensor and actuator modeling, latency considerations, and deployment pipelines.
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Define best practices for training policies in simulation and transferring them to real robotic systems.
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Collaborate with research and engineering teams all across NVIDIA, such as DEX and GEAR, to enable the next generation of humanoid robots.
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Participate in code reviews, system design discussions, and contribute to internal and open-source software.
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Engage with the robotics industrial and research communities.
What we need to see:
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BS, MS, or PhD degree in Computer Science or related field (or equivalent experience).
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5+ years of experience in robotics and simulation workflows, including reinforcement learning, imitation learning, motion planning, and trajectory optimization.
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Extensive experience in software development with Python and the deep-learning software stack (Pytorch, Tensorflow, Jax, etc.).
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Experience training and evaluating policies in simulation and transferring them to physical robotic systems.
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Experience with GPU-accelerated kernel-style programming, such as Warp and CUDA.
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 training a robot in simulation and deploying the policy sim-to-real.
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Publications in major AI and robotics conferences.
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 February 24, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
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NVIDIAについて

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
従業員数
Santa Clara
本社所在地
$4.57T
企業価値
レビュー
4.1
10件のレビュー
ワークライフバランス
3.5
報酬
4.2
企業文化
4.3
キャリア
4.5
経営陣
4.0
75%
友人に勧める
良い点
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
改善点
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
給与レンジ
73件のデータ
L3
L4
L5
L3 · Data Scientist IC2
0件のレポート
$177,542
年収総額
基本給
-
ストック
-
ボーナス
-
$150,910
$204,174
面接体験
7件の面接
難易度
3.1
/ 5
体験
ポジティブ 0%
普通 86%
ネガティブ 14%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
よくある質問
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
ニュース&話題
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
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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.
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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 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