トレンド企業

NVIDIA
NVIDIA

Pioneering accelerated computing and AI

Software Engineering Manager, Robotics

職種エンジニアリングマネージャー
経験リード級
勤務地Shanghai, China
勤務オンサイト
雇用正社員
掲載2ヶ月前
応募する

必須スキル

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:

  • Lead, mentor, and grow a high-performing team of robotics software engineers.

  • Drive the definition, planning, and execution of projects involving real-world deployment of learned policies on complex robots.

  • Engage in hands-on development, implementation, and deployment of real-time software stacks.

  • Foster a culture of innovation and collaboration, supporting work such as prototypes, open-source software releases, patents, and publications.

  • Collaborate with product, hardware, and software teams to translate engineering work into impactful products.

  • Support career development, performance management, and recruitment of top talent.

What we need to see:

  • PhD or Master's degree in Computer Science, Robotics, or a related field (or equivalent experience).

  • 7+ overall years of experience in robotics and deep learning technologies.

  • More than 4 years of experience leading technical teams or managing groups in robotics, autonomous driving, machine learning, or related fields.

  • Strong hands-on programming skills in Python and C++.

  • Excellent communication, organizational, and interpersonal skills.

  • Advanced knowledge in robot learning, including imitation or reinforcement learning, and robot perception.

  • Experience with robot simulation tools.

Ways to stand out from the crowd:

  • Experience with deep learning frameworks (Py Torch, JAX, Tensor Flow) and physics simulation tools (Isaac Sim).

  • 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について

NVIDIA

NVIDIA

Public

A 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

10件のレビュー

4.4

10件のレビュー

ワークライフバランス

2.8

報酬

4.5

企業文化

4.2

キャリア

4.3

経営陣

3.8

78%

知人への推奨率

良い点

Cutting-edge technology and innovation

Excellent compensation and benefits

Great team culture and collaboration

改善点

High pressure and expectations

Poor work-life balance and long hours

Fast-paced environment leading to burnout

給与レンジ

79件のデータ

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

7件のレポート

$170,275

年収総額

基本給

$130,981

ストック

-

ボーナス

-

$155,480

$234,166

面接レビュー

レビュー5件

難易度

3.0

/ 5

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience