Senior Software Engineer, Machine Learning Safety

Posted Yesterday
Be an Early Applicant
Santa Clara, CA, USA
In-Office
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and promote software safety practices for autonomous-driving products. Partner with deep learning engineering teams to ensure software, hardware architectures, and development processes meet ISO 26262 and automotive safety standards. Guide teams through safety activities across concept, design, development, and validation phases, support audits, and define quality and safety-conformance processes for mission-critical applications.
Summary Generated by Built In

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.

Skills Required

  • Bachelor’s degree in Electrical Engineering, Computer Science, or a related field, or equivalent experience
  • 8+ years of software engineering experience
  • Strong programming experience in C and C++
  • Experience defining quality and safety-conformance processes for mission-critical applications
  • Understanding of ISO process standards, methodologies, audit expectations, and documentation standards
  • Knowledge of ISO 26262 functional safety methodology and standards
  • Strong communication and problem-solving skills
  • Ability to work effectively in a fast-paced, collaborative environment
  • High standards for software quality and a proven track record demonstrating them
  • Knowledge of Automotive SPICE methods, procedures, and tools
  • Experience with requirements management, FMEA, and FTA
  • Deep understanding of MISRA C++ and AUTOSAR C++14 guidelines

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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