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职位NVIDIA

Senior Autonomous Driving System Engineer, L4

NVIDIA

Senior Autonomous Driving System Engineer, L4

NVIDIA

China

·

On-site

·

Full-time

·

2w ago

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 revolutionising autonomous driving? At NVIDIA, we're on a mission to build the next generation of AI-native autonomous driving systems. Our team in Shanghai, China, stands at the forefront of blending classical safety architectures with powerful AI-based systems. Join us and help define the future of autonomous vehicles!

What you'll be doing:

As a Senior Autonomous Driving System Engineer, L4, you will be central to crafting and constructing the architecture behind next-generation autonomous driving systems. Your work will involve:

  • Building the main stack for autonomous driving, concentrating on prediction, decision-making, planning, and control architecture.

  • Crafting robust system-level safety and fallback strategies within classical safety stacks.

  • Implementing end-to-end data-driven AV pipelines and large-scale model inference architectures.

  • Integrating classical and end-to-end hybrid systems, ensuring seamless scalability from research to production.

  • Collaborating with a world-class team of engineers to build a unified production platform that sets new standards in the industry.

What we need to see:

We are looking for engineers who can build comprehensive systems and not just individual components. You should have:

  • A BS or higher in an engineering or technical field (Mechanical, Electrical, Computer Science, Physics, etc.) or equivalent work experience.

  • At least 6 years of hands-on experience in developing production autonomous driving systems.

  • Proficiency in forecasting, scheduling, and control frameworks for autonomous vehicles.

  • Experience with AI foundation models, large-scale ML systems, and end-to-end driving models.

  • A strong background in robotics or embodied AI systems and system architecture from concept to scale.

Successful candidates will bring deep technical expertise in autonomy architecture, ML systems, or robotics platforms and thrive on solving complex real-world problems. If you're ambitious and have a proven track record of developing flawless, world-class systems, this is the place for you!

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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关于NVIDIA

NVIDIA

NVIDIA

Public

A 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

4.1

10条评价

工作生活平衡

3.5

薪酬

4.2

企业文化

4.3

职业发展

4.5

管理层

4.0

75%

推荐给朋友

优点

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

缺点

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

薪资范围

73个数据点

Junior/L3

Mid/L4

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

7次面试

难度

3.1

/ 5

体验

正面 0%

中性 86%

负面 14%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

常见问题

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR