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职位NVIDIA

Senior System Software Engineer - Automotive

NVIDIA

Senior System Software Engineer - Automotive

NVIDIA

Japan, Tokyo

·

On-site

·

Full-time

·

3w ago

必备技能

Linux

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. Now NVIDIA is looking for a motivated Senior Software Engineer to join our Tegra Solutions Engineering team and work together with industry leading companies to define, develop and deliver future NVIDIA Tegra based products.

What you'll be doing:

  • Work on system software stack for systems based on NVIDIA Tegra system-on-a-chip (SoC).

  • Work with major automotive and gaming customers in Japan to integrate their SW, develop custom functionality for their products and solve system problems.

  • Collaborate closely with various NVIDIA engineering teams and with customers to ensure Tegra SoC and PDK (Platform Development Kit) SW is flawlessly integrated into customer's products.

What we need to see:

  • BS/MS degree in Computer Science or related field.

  • 5+ years of relevant working experience

  • System SW development experience

  • Solid knowledge of C/C++

  • Good understanding of architecture of Linux or QNX.

  • Experience with new hardware or platform bring-up

  • Excellent OS and chip-level debugging and problem-solving skills

  • Fluency in English (must) and Japanese (desirable)

Ways to stand out from the crowd:

  • Work experience in embedded or automotive industry

  • Experience with hardware debugging tools (JTAG, oscilloscopes, logic analyzers)

  • Experience debugging boot flows (BootROM, bootloader, kernel initialization)

  • Background with Tegra SoC or any other modern SoC/ CPU architecture.

  • Familiarity with Functional Safety standards and practices.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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