
Pioneering accelerated computing and AI
Software Engineering Manager, Robotics
필수 스킬
Python
PyTorch
TensorFlow
Machine Learning
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re 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, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Are you passionate about the opportunity to build the future of robotics? At NVIDIA, you have the rare chance to develop the future of Physical AI Robots, such as Humanoid Robots. Our Shanghai team is looking for a Robotics Software Engineering Manager to lead sim-first development, real-world deployment, and continuous learning, ensuring our robots become smarter over time. Join us and make a significant impact on innovative technology in a collaborative environment.
What you'll be doing:
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Lead, mentor, and grow a high-performing team of robotics software engineers.
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Drive the definition, planning, and execution of projects involving real-world deployment of learned policies on complex robots.
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Engage in hands-on development, implementation, and deployment of real-time software stacks.
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Foster a culture of innovation and collaboration, supporting work such as prototypes, open-source software releases, patents, and publications.
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Collaborate with product, hardware, and software teams to translate engineering work into impactful products.
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Support career development, performance management, and recruitment of top talent.
What we need to see:
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PhD or Master's degree in Computer Science, Robotics, or a related field (or equivalent experience).
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7+ overall years of experience in robotics and deep learning technologies.
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More than 4 years of experience leading technical teams or managing groups in robotics, autonomous driving, machine learning, or related fields.
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Strong hands-on programming skills in Python and C++.
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Excellent communication, organizational, and interpersonal skills.
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Advanced knowledge in robot learning, including imitation or reinforcement learning, and robot perception.
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Experience with robot simulation tools.
Ways to stand out from the crowd:
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Experience with deep learning frameworks (Py Torch, JAX, Tensor Flow) and physics simulation tools (Isaac Sim).
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Hands-on experience with robotics simulation, sim-to-real, and real-to-sim transfer.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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NVIDIA 소개

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
직원 수
Santa Clara
본사 위치
$4.57T
기업 가치
리뷰
10개 리뷰
4.4
10개 리뷰
워라밸
2.8
보상
4.5
문화
4.2
커리어
4.3
경영진
3.8
78%
지인 추천률
장점
Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
단점
High pressure and expectations
Poor work-life balance and long hours
Fast-paced environment leading to burnout
연봉 정보
79개 데이터
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
7개 리포트
$170,275
총 연봉
기본급
$130,981
주식
-
보너스
-
$155,480
$234,166
면접 후기
후기 5개
난이도
3.0
/ 5
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
최근 소식
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.
reddit/blind
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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.
reddit/blind
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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.
reddit/blind
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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.
reddit/blind
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