Senior Software Engineer, Machine Learning Safety

NVIDIA is hiring a Senior Software Engineer, Machine Learning Safety in Santa Clara, United States. It pays $184k-$288k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
Pay on this posting starts 10% higher than the typical software engineer posting on Level.
The posting mentions C, functional safety and iso 26262 among its tools and skills.
NVIDIA has 2,700+ other open roles on Level.
Posted within the past week.

AI in this role

Ensure software safety standards and compliance for autonomous driving deep learning systems at NVIDIA.

functional-safetyiso-26262autonomous-drivingsoftware-safety

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.

How we rate this

Senior Software Engineer, Machine Learning Safety at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Software Engineer, Machine Learning Safety is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $184k-$288k a year.
The role is based in US, CA, Santa Clara.
The job was posted on November 2, 2026.
Seniority: senior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Functional SafetyIso 26262Autonomous DrivingSoftware SafetyC

Also common in software engineer jobs at this level

Python LLM AWS AI agents Kubernetes Java

Pay

This job starts at: $184k
Typical software engineer job: $168k

This posting starts 10% above the typical software engineer job. See software engineer jobs

Questions you could be asked

Tell me about a project where functional safety was part of your work. What did you do?
Tell me about a project where iso 26262 was part of your work. What did you do?
Tell me about a project where autonomous driving was part of your work. What did you do?
Tell me about a project where software safety was part of your work. What did you do?
Walk me through how you've used C in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Functional Safety, Iso 26262, Autonomous Driving, Software Safety, and C. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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