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Job statistics for Senior Software Safety Engineer, Halos - Autonomous Vehicles

Days open
27 days
Expected tenure
7.5 years
Salary
$224,000–$356,500
As stated in the posting.
Technologies usedNone named

This posting does not name specific tools, languages or platforms.

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.

Safety professionals at this company
  • 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).

NVIDIA

Senior Software Safety Engineer, Halos - Autonomous Vehicles

Apply
Focus
Safety-critical
Location
2 Locations
Posted
Oct 12, 2026
Source
Workday

By submitting you agree to the privacy policy.

Standards
ISO 26262IEC 61508ISO 21448 (SOTIF)

Job description

About the role

NVIDIA is widely regarded as a leading company in technology. It has groundbreaking developments in High-Performance Computing, Artificial Intelligence, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

Our work enables exploration of new universes, enables outstanding creativity and discoveries that were once science fiction from artificial intelligence to autonomous cars and .

NVIDIA Halos is the full-stack, comprehensive safety system that unifies autonomous machines architecture, AI models, chips, software, tools, and services to ensure the safe development and deployment of Physical AI.

We are actively seeking a Senior SW Safety Engineer to join the Halos team and collaborate closely with other teams across NVIDIA working on autonomous vehicle and robotics safety.

What You’ll Be Doing

  • Be pivotal in ensuring the safety of our AI-based autonomous system software.
  • Engage with a diverse team of engineers across the entire DRIVE platform and related research unit. You will work closely with the groups handling automotive functional safety and safety of the intended functionality.
  • Collaborate with the teams dedicated to robotics, humanoids, industry safety and other safety critical applications across NVIDIA.
  • Apply your skills to guide the teams to specify, build, implement, and verify safety requirements across our software stack from drivers and acceleration libraries to AI-based technologies, including end-to-end models.
  • Help NVIDIA team implementing our Product Life Cycle to integrate the process principles of AI safety.
  • Your role includes engaging in customer interaction and international standardization activities related to safety of Artificial Intelligence.
  • Support system safety activities including decomposition of safety requirements, system and component level build analysis (FTA, DFA, CCF, , etc.), and architectural safety analysis across hardware and software boundaries.
  • Collaborate with external certification bodies, assessors, and regulators. You will present, defend, and justify safety arguments and evidence. This supports successful safety certification reviews related to functionality and AI.

What we need to see

  • BS, MS, or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or related technical field, or equivalent experience.
  • 12+ years of shown experience in Artificial Intelligence and SW safety related processes, methodologies, tools.
  • Experience in AI safety methods and tools (adaptability testing, uncertainty evaluation, out of distribution detection, and other related methods).
  • Familiarity with system software development and embedded platforms.
  • Strong written and verbal communication skills.
  • Experience in reviewing existing processes and finding gaps to suggest improvements.
  • Experience producing safety plans, safety analyses reports, safety case documentation, and evidence packets in support of safety certification and audit activities.

Ways to Stand Out from the Crowd

  • Strong background in safety standards (ISO PAS 8800, ISO/IEC TR 5469, ISO 21448, ISO 26262, IEC 61508).
  • Background in system safety methodologies & practices (, FMEA, FTA, STPA).
  • Hands-on experience with innovative systems engineering methodologies – such as requirements management, peer review processes, configuration management, requirements management in an agile development environment, risk management, requirements verification and traceability, validation and verification, and architectural decomposition.
  • Hands-on experience in .
  • Success applying the to sophisticated AI-based engineering projects, ideally in all stages of the SW development life cycle.

#AutonomousVehicles

Pay and benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Legal and equal opportunity notices

Applications for this job will be accepted at least until October 16, 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.