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Senior Software Engineer, Computer Vision - Autonomous Vehicles

NVIDIA

Senior Software Engineer, Computer Vision - Autonomous Vehicles

NVIDIA

US, CA, Santa Clara

·

On-site

·

Full-time

·

1w ago

We are looking for a Senior Software Engineer for our Autonomous Vehicle organization. The team combines state-of-the-art Machine Learning and Computer Vision techniques to run offline perception tasks. We seek the best engineers who are passionate about solving problems for self-driving cars and have a strong background in software development. We build platforms, web services, and tools to ingest terabytes of sensor data through a complex pipeline, using advanced deep learning models and mathematical algorithms to produce the highest-quality detection features for self-driving cars. Are you interested in building future technologies to serve millions of self-driving cars across the globe? If so, join us!

What You'll Be Doing:

  • Advance Deep Learning components for both training and inference stages

  • Developing tools to generate and handle big training datasets for different Deep Learning models

  • Developing computer vision algorithms for Deep Learning data preprocessing and post-processing

  • Integrating Deep Learning algorithms into realistic large-scale offline perception pipelines

  • Collaborating with other engineering teams within NVIDIA

What We Need To See:

  • A deep understanding of and experience applying modern Machine Learning techniques to real-world applications

  • MS/PhD Computer science or related areas (or equivalent experience)

  • 8+ years of industry experience

  • Strong mathematical foundation, such as Geometry, Linear Algebra, and Numerical Analysis

  • Proficient in C++ and Python, with ability to write clean maintainable code.

  • A self-motivated, collaborative and problem-solving mindset

  • Strive to learn, solve, and own hard problems end to end

  • Ability to work with multiple teams

Ways To Stand Out From The Crowd:

  • Previous experience with HD map generation.

  • Strive to learn, solve, and own hard problems end to end.

  • Good communication and analytical skills.

  • Great team player but an independent self starter

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 5, 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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About NVIDIA

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

Employees

Santa Clara

Headquarters

$4.57T

Valuation

Reviews

4.1

10 reviews

Work Life Balance

3.5

Compensation

4.2

Culture

4.3

Career

4.5

Management

4.0

75%

Recommend to a Friend

Pros

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

Cons

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

Salary Ranges

47 data points

Junior/L3

Mid/L4

Junior/L3 · Analyst

7 reports

$170,275

total / year

Base

$130,981

Stock

-

Bonus

-

$155,480

$234,166

Interview Experience

7 interviews

Difficulty

3.1

/ 5

Experience

Positive 0%

Neutral 86%

Negative 14%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

Common Questions

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR