Six Figure Work

Senior Online Mapping Algorithms Engineer - Autonomous Vehicles

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $184,000  to $356,500

Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA +1 more

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  • LocationSanta Clara, CA +1 more
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since
All places named
  • Santa Clara, CA
  • Seattle, WA

About this job

We are looking for a Senior algorithm engineer/architect for Autonomous Vehicles to do online mapping. In this role, you will help craft and guide the future of our autonomous driving solution that helps the car perceive the world around it and build the 3D model of the driving environment. We seek extraordinary engineers who are passionate about building self-driving cars and who have a background in sensor fusion, multi-view geometry, and embedded real-time software. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us!


What You'll Be Doing:

  • Generate real-time 3D world model utilized by planning, incorporating a variety of inputs from sensors and external sources.
  • Enable HD mapless driving in complex urban scenarios by creating enriched BEV models of the world.
  • Design and integrate algorithmic solutions into the core of NVIDIA AV.
  • Write safe embedded software code to run in real-time systems.
  • Develop highly efficient product code in C++ and make use of algorithmic parallelism offered by GPGPU programming (CUDA).
  • Adapt the heuristic algorithm to DNN solution 
  • Produce code and designs following automotive quality and safety standards.

What We Need To See:

  • Bachelor’s / Master’s / PhD in Computer Science or a related field (or equivalent experience) with 6+ years of experience.
  • Software industry experience.
  • Strong C++ development skills.
  • Passion for robotics and autonomous vehicles.
  • Drive to learn new things and tackle meaningful problems.
  • Outstanding communication and cross-team collaboration.
  • Independent and analytical software engineering skills.
  • Software development on embedded or automotive platforms.

Ways To Stand Out From The Crowd:

  • Background in 3D geometry, computer vision, or state estimation algorithms like Kalman filters, particle filters.
  • AV industry or Robotics industry working experience
  • Working experience of DNN

#AutonomousVehicles


We believe that building self-driving vehicles will be a defining contribution of our generation (e.g. traffic accidents are responsible for ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking people in the world working here. If you're entrepreneurial and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
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 November 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Source: NVIDIA on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($184,000) is above 55% of the 5,064 Software Engineering roles in California listed on this site; 189 others list the same floor. Their median floor is $176,600; the middle half runs from $149,365 to $204,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.

This range next to 6 other live NVIDIA roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live NVIDIA roles with the nearest advertised base floor
RolePublished base
Senior Online Mapping Algorithms Engineer - Autonomous Vehicles (this listing)$184,000 - $356,500
Senior Software Engineer, Subnet Management$184,000 - $356,500
Senior Software Engineer, AI Networking$184,000 - $356,500
Senior Software Engineer, Machine Learning Safety$184,000 - $356,500
Senior Firmware Security Architect, Networking$184,000 - $356,500
Senior Compiler Engineer - AI$184,000 - $287,500
Senior System Software Engineer, Performance - CUDA Driver$184,000 - $356,500

Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-30
Where this pay comes from

Location as the employer wrote it: US, CA, Santa Clara • US, WA, Seattle (Levels 4-5 combined)

184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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