Six Figure Work

Senior Software Engineer, Machine Learning Safety

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

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  • LocationSanta Clara, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (55 min ago) · observed since

About this job

NVIDIA’s Deep Learning Safety group is looking for a Senior Software Safety Engineer.

At NVIDIA, we are building the system, hardware, and software technology which enables autonomous driving. Our deep learning safety team is currently searching for a Senior Software Safety Engineer to help us craft the next generation of products for autonomous driving. You should have strong programming skills, a good grasp of Hardware and Software Architectures, experience with software development processes, and knowledge of Automotive Spice and/or ISO 26262.

What you'll be doing:

  • Working with the deep learning engineering teams within NVIDIA to ensure our software products and development processes meet automotive safety standards.

  • Promote safety culture and guide development teams towards successful implementation of ISO 26262.

  • Influence next-gen software and hardware architecture from a safety perspective.

  • Drive and support engineering activities according to ISO 26262 standards during all project phases (concept, design, development, validation).

  • Support internal/external ISO 26262 process/product audits.

What we need to see:

  • BS+ EE/CS or related field (or equivalent experience) with 8+ years of software engineering experience in C/C++.

  • Strong communication skills, excellent problem-solving skills, and the ability to learn and work effectively in a fast-paced, collaborative environment.

  • An advocate of good programming and design practices.

  • Significant experience with defining process for quality and safety conformance for mission critical application(s) and an understanding of ISO process standards, methodologies, audit expectations and documentation standards.

  • Should have high standards on quality and proven track record for demonstrating the same

  • Knowledge of ISO 26262 functional safety methodology and standards.

Ways to stand out from the crowd:

  • Knowledge of Automotive SPICE, methods, procedures and tools (requirements management, FMEA, FTA, etc.).

  • Deep understanding of guidelines like MISRA C++ and AUTOSAR C++14.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world, and we are looking for phenomenal folks to be a part of this groundbreaking endeavor. Are you creative, imaginative, and autonomous? Do you love a challenge? If so, come join our technically diverse team!

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 6, 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 46% of the 1,514 Data & ML roles in California listed on this site; 30 others list the same floor. Their median floor is $187,500; the middle half runs from $159,200 to $229,375.

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, Machine Learning Safety (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 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
Software Engineer, SRE and Production Engineering - DGX Cloud$184,000 - $287,500

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
2026-11-02
Where this pay comes from

Location as the employer wrote it: US, CA, Santa Clara (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.