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Senior System Software Engineer - DRIVEOS Platform Team

NVIDIA

Senior System Software Engineer - DRIVEOS Platform Team

NVIDIA

India, Bengaluru

·

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.

We have an exciting opportunity for a talented Senior System Software Engineer to join our Automotive Team and help us develop innovative, safe, secure, and high-performance automotive systems. If you have a good understanding of System Software development, bring-up of new platforms, experience in QNX and Linux software development, low level programming/debugging skills, we want to hear from you! Join us in creating the future of automotive technology and work in a team that is revolutionizing the industry.

What you'll be doing:

  • Design and develop safety (ISO26262) and security (ISO21434) compliant system software for NVIDIA DRIVE platform for autonomous vehicles

  • Perform development & bring-up activities for next-generation Tegra SOC hardware and Systems including devices like network switches and MCUs

  • Design debugging solutions and tooling to improve developer experience on DRIVE platform

  • Architect and implement solutions to sophisticated issues & defects involving interactions between components partitioned across the large software stack

  • Use Formal Methods to design and develop high integrity software

What we need to see:

  • BS/MS in electrical engineering, computer science, or computer engineering and more than 8 years of experience with device driver design and development on embedded systems

  • Proven understanding of computer architecture, operating system fundamentals and Ethernet networking

  • Strong experience in understanding board schematics, debugging board design issues and engaging with vendors of hardware components

  • Strong Python/C/C++ and/or Ada/SPARK programming and debugging skills

  • Experience configuring a complex virtualized system for the intended use case

  • A strong teammate; self-motivated with a positive approach!

Ways to stand out from the crowd:

  • Experience in taking features from inception to the product following the Software Development Process and Hands-on experience with ISO26262 and ISO21434.

  • Hands-on experience with formal methods, especially using TLA+ and Ada/SPARK toolchains.

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

NVIDIA

Public

A 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

4.1

10개 리뷰

워라밸

3.5

보상

4.2

문화

4.3

커리어

4.5

경영진

4.0

75%

친구에게 추천

장점

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

단점

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

연봉 정보

73개 데이터

Junior/L3

Mid/L4

Junior/L3 · Analyst

7개 리포트

$170,275

총 연봉

기본급

$130,981

주식

-

보너스

-

$155,480

$234,166

면접 경험

7개 면접

난이도

3.1

/ 5

경험

긍정 0%

보통 86%

부정 14%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

자주 나오는 질문

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR