Job statistics for Senior Software Engineer, Machine Learning Safety
- Days open
- 2 days
- Expected tenure
- 6 years
- Salary
- $184,000–$356,500
- Stated in the posting: Level 4 $184,000–$287,500; Level 5 $224,000–$356,500.
Technologies used3 tools
Named in this posting. Hover a tool for what it is; the link finds other roles that use it.
Current safety team54 tracked professionals
- By function
- 31 engineering, 17 senior / lead, 5 leadership, 1 consulting / assessment
- By level
- 40 senior
- Hiring now
- 16 open safety roles on FSTalent, including this one
Counts of functional safety professionals FSTalent tracks at NVIDIA and roles it is hiring for. It is a sample of public profiles, not the full headcount.
- Abhishek Arora — Customer Safety Manager
- Adam Duddles — Senior Safety Engineer - Auto
- Ali Ghaffari — Senior Architect - Safety Engineering
- Anitha Anand — System Safety, Autonomous Vehicles
- Ankita Joshi — Sr. Safety Architect, Edge and Physical AI
- Aswin Sagar — GPU HW Functional Safety & Cybersecurity DV (Physical AI)
- Bader Alahmad — Senior Functional Safety Manager, Software
- Baisakhi Mandal — Sr Technical Software Program Manager - Functional Safety
- Brian Bernier — Functional Safety Manager
- Calvin Yip — Functional Safety Manager
- Carlos Avalos-Gonzalez — SoC Functional Safety Manager
- Charles Davenport — Functional Safety Engineer
- Charles Ma，gardener — Sr Functional Safety Engineer - Automotive
- David Andrew Wiseman — Director Autonomous Vehicle System Safety
- Devika Deshpande — Functional Safety Software Engineer
- Dheeraj Lokam — Senior Hardware Safety Architect
- Divya K — Senior Automotive Safety Architect
- Dominic Chen — Senior Systems Software Engineer - Automotive System Software Functional Safety
- Estella Silva — Functional Safety Manager
- Federico Venini — Sr. Resiliency and Safety Architect
- Fred Gruner — Principal Engineer - CPU Functional Safety
- Gokul S — Engineering Manager - Automotive ECU Safety & Architecture
- Gulroz Singh — Sr. Semiconductor Safety Architect
- Hui Jin — Senior Manager - Automotive Safety
- Janmey Parmar — Sr. System Safety Engineer
- Jean-Marc Mifsud — Senior Functional Safety Manager
- Jeff Bernia — Manager - SW Functional Safety
- Jehoda Refaeli — Senior CPU Safety Architect
- Jie Tong — Semiconductor Safety Engineer
- Jonas Nilsson — Director of Safety Engineering | Head of AV Safety
- Jonathan Mcneely — Senior System Safety Engineer
- Joy J — Functional Safety Algorithm Engineer
- Juergen Schoen — Independent Functional Safety and Cybersecurity Assessor (FSQ)
- Koundinya Varanasi — ASIC Safety Engineer
- Lee Franzen — Director - Compiler Technical Program Management, Functional Safety, Security Engineering
- Mandar Pitale — Senior Manager - Safety Management for Automotive Software
- Matthew Ligocki — Senior Software Verification Engineer, Functional Safety Tools
- Oscar Ballan — Principal Architect, Resiliency and Safety
- Paul Blecher — Senior Functional Safety Specialist
- Ramachandran Palappalayam — Sr Technical Manager - AI/AV/Robotics System/Software Safety
- Rashmi Jadhav — Senior Architect | Customer Safety Engineering
- Richard Bramley — Platform Safety Architecture
- Roozbeh Kianfar — Senior System Safety Engineer (Autonomous Vehicle)
- Sachin Pullaikudi Veedu — Senior Safety Algorithm Engineer, Autonomous Vehicles
- Sanjay Gongalore — GPU and SOC Architecture - Resiliency and Functional Safety
- Satya Rajagopalan — Functional Safety Manager/ Architect - Autonomous Vehicles
- Shreyas Ramakrishna — System Safety Engineer
- Smitha S — Senior Software Safety Engineer
- Stephen Crozier — Senior Safety Architect
- Stephen Thomas — Sr. System Safety Architect | Autonomous Vehicles
- Sunil Bengeri — Sr Functional Safety Engineer - Automotive
- Thyagu S — Sr. Manager - Safety SW
- Vishnu Vardhan Neeli — Senior Software QA Engineer, NCAP and Active Safety
- Zvi Goldshtein — Hardware Functional Safety Expert
Median tenure at company2.8 years
Median time employees have been at NVIDIA, from its LinkedIn company page (as of 2026-09).
Senior Software Engineer, Machine Learning Safety
Job description
About the role
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, , FTA, etc.).
- Deep understanding of guidelines like MISRA C++ and AUTOSAR C++14.
Pay and benefits
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.
Legal and equal opportunity notices
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!
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.