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求人NVIDIA

Senior Software Engineer, Parking - Autonomous Vehicles

NVIDIA

Senior Software Engineer, Parking - Autonomous Vehicles

NVIDIA

US, CA, Santa Clara

·

On-site

·

Full-time

·

4w ago

必須スキル

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.

We are seeking for a Senior Software Engineer for the Parking, Autonomous Vehicles team at Nvidia. In this role, you will help build groundbreaking technology at the intersection of automotive and robotics that is intended to unlock a new generation of driver assist features. The team you will be joining is building features to support parking and driving activities on the Autonomous Vehicle program, and we are looking for someone with strong curiosity and who enjoys solving difficult problems with analytical rigor.

What you’ll be doing:

  • Design planning algorithms to handle navigation in unstructured and semi-structured environments.

  • Implement planning algorithms using C++ to support parking and driving features.

  • Write documentation and tests for automotive software.

  • Develop simulations scenarios to assist development of new features.

  • Support deployment of your code on test vehicles and support tests.

What we need to see:

  • Experience in Mathematics, Control, Optimization, Machine Learning, Reinforcement Learning, etc.) or equivalent.

  • PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.

  • Experience using C++ for development.

Ways to stand out from the crowd:

  • Experience with ML planning approaches.

  • Previous experience with parking assist features.

  • Previous experience leading small teams or projects.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 22, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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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

4.1

10件のレビュー

ワークライフバランス

3.5

報酬

4.2

企業文化

4.3

キャリア

4.5

経営陣

4.0

75%

友人に勧める

良い点

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

改善点

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

給与レンジ

73件のデータ

Junior/L3

Mid/L4

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

面接体験

7件の面接

難易度

3.1

/ 5

体験

ポジティブ 0%

普通 86%

ネガティブ 14%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

よくある質問

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR