Nvidia logo

Senior Software QA Engineer, Map Data Validation - Autonomous Vehicles

NvidiaSanta Clara, CA

$132,000 - $253,000 / year

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.1

Reclaim your time by letting our AI handle the grunt work of job searching.

We continuously scan millions of openings to find your top matches.

pay-wall

Overview

Schedule
Full-time
Career level
Senior-level
Compensation
$132,000-$253,000/year
Benefits
Paid Vacation

Job Description

NVIDIA is widely acknowledged as one of the most sought-after companies in the technology sector. It leads the industry with groundbreaking developments in High-Performance Computing, Artificial Intelligence, and Visualization. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

We are looking for an accomplished Map Data QA to perform the validation of HD/SD map data, a vital component in autonomous driving. An ideal candidate should demonstrate extensive prior experience in the mapping field and deep domain knowledge of map data structure and validation strategy. They should also be proficient in producing data validation reports.

What you'll be doing:

  • Develop a strategy for verifying map data to meet product requirements

  • Define map data validation rules

  • Participate in the development of automated map data validation framework

  • Perform map data validation

  • Train/support mapping operators on analyzing data validation results

  • Produce data validation report

What we need to see:

  • Bachelor's degree in computer science or related field or equivalent experience

  • Extensive knowledge of map data validation standards and methodologies

  • At least 5 years of dedicated QA work in the area of map data validation

  • GIS background a great plus

  • A motivated individual capable of working autonomously with minimal direction

  • Phenomenal team player with excellent communication skills

Ways to stand out from the crowd:

  • Extensive knowledge of HD map data verification protocols and techniques

  • A self-starter that requires minimal supervision

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD for Level 3, and 152,000 USD - 253,000 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 21, 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.

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

pay-wall

FAQs About Senior Software QA Engineer, Map Data Validation - 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 $132,000 and $253,000 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 benefits are offered by Nvidia for this role?
Nvidia offers Paid Vacation for this position. Actual benefits may vary depending on the employer's policies and employment terms.
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.