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Senior Software Engineer, Computer Vision - Autonomous Vehicles

NvidiaSanta Clara, CA

$184,000 - $287,500 / year

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Overview

Schedule
Full-time
Career level
Senior-level
Compensation
$184,000-$287,500/year
Benefits
Paid Vacation

Job Description

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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FAQs About Senior Software Engineer, Computer Vision - Autonomous Vehicles Jobs at Nvidia

What is the work location for this position at Nvidia?
This job at Nvidia is located in Santa Clara, CA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Nvidia?
Candidates can expect a pay range of $184,000 and $287,500 per year.
What employment applies to this position at Nvidia?
Nvidia lists this role as a Full-time position.
What experience level is required for this role at Nvidia?
Nvidia is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at Nvidia?
You can apply for this role at Nvidia either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.