Six Figure Work

Senior Software Engineer, Metrics and Evaluation - 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 +4 more

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  • LocationSanta Clara, CA +4 more
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (46 min ago) · observed since
All 5 locations
  • US, CA, Santa Clara
  • US, GA, Remote
  • US, DC, Remote
  • US, NC, Remote
  • US, WA, Remote

About this job

Want to join a fun, creative company that is on the cutting edge of amazing technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.


We are looking for an experienced engineer to join our Planning and Control team to work on metrics and evaluation. In this role you will enable rapid planner and controller algorithm development by providing critical evaluation products. You will develop novel evaluation methodologies and the metrics needed to power them. This is an open-ended and unsolved space which requires creativity and inventiveness.


What you will be doing:

  • Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software.
  • Build compelling, data driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics and dashboards.
  • Collaborate with machine learning engineers, infrastructure engineers and roboticists to develop novel solutions to open-ended problems
  • Work with the Planning & Control team to develop and drive software testing strategies

What we need to see:

  • MS, or PhD or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science or similar fields
  • 8+ years experience working in software engineering, data science, and/or experiment design roles
  • Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib)
  • Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system
  • Ability and enthusiasm to ramp up quickly on new technical domains
  • Ability to multitask and prioritize in a fast paced environment
  • Excellent organizational and interpersonal skills

Ways to stand out from the crowd:

  • Experience developing on-board planning algorithms
  • Developed metrics for autonomous vehicle robotics systems
  • Experience with evaluating precision and recall of performance metrics
  • Familiarity with C++
  • Experience with working in a large monorepo and with Bazel as well as prior knowledge about vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, and self-driving technologies.

#AutonomousVehicles

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 56% of the 4,307 Software Engineering roles in California listed on this site; 128 others list the same floor. Their median floor is $176,000; the middle half runs from $149,100 to $202,500.

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 7, 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 Software Engineer, Metrics and Evaluation - 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: Multiple locations (5) (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.