Job statistics for Senior Platform Safety Analysis Engineer, HALOs Platforms - Autonomous Vehicles
- Days open
- 23 days
- Expected tenure
- 7.5 years
- Salary
- $224,000–$356,500
- As stated in the posting.
Technologies used2 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
- 15 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 Platform Safety Analysis Engineer, HALOs Platforms - Autonomous Vehicles
Job description
About the role
NVIDIA – “the AI computing company” is developing a ground-breaking AI-based full stack for autonomous transportation and base platform to support it.
This requires a ground-breaking approach to functional safety in the underlying HALOs platform, including scheduling and management of synchronization and diverse HW compute engines, full platform error reporting and degradation, system state management and fail-operational features.
We are seeking outstanding engineers to lead efforts developing the next generation of safe, AI-powered autonomous driving platforms. The focus is on functional safety of the underlying compute and communications platform on which NVIDIA's autonomous products are built.
Do you have a desire to work at the confluence of NVIDIA's application stack and the OEM vehicle platforms? Come and be part of a team developing and aligning safety architecture and requirements across NVIDIA and with all of our customers!
What you'll be doing
- The increased use of AI and the underlying compute HW used represent a challenge to analyze and demonstrate HW fault metric compliance, we will look to you to propose new methods and refine existing practices.
- You will carry out analysis using classical approaches such as fault trees used alongside model-based techniques to derive application and system-level diagnostic measures on top of existing HW measures.
- Development of automation to support the analysis of complex multi-layered systems will be required.
- Analysis and interpretation of internal and external safety documentation to identify improvements which can be helpful to meet ever more challenging safety targets.
- Ensure the integration of the System, Software and Hardware safety analysis methodologies to demonstrate the final system meets overall HW safety metrics.
What we need to see
- BS, MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
- 12+ years of experience in systems architecture or related fields.
- Experience working across company boundaries as development partners.
- We seek technically strong engineers who bring experience in safety analysis of embedded systems at the Hardware and Software Level and can find the right level of abstraction adapted to the tasks in hand.
Ways to Stand out from the crowd
- Proven competence in performing safety analysis using qualitative and quantitative methods (e.g FTA, and FMEDAs)
- Background in HW SOC and/or board level architecture, Automotive ECU architecture is especially valued.
- Demonstrable competence in tools and automation focused on safety analysis.
- Familiarity with safety standards (ISO 26262, IEC 61508, ISO/PAS 21448)
- Experience in the evaluation of fault metrics through the combination of built-in HW measures and application coverage.
#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 September 3, 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.