We are looking for a talented Senior System Software Engineer to help build NVIDIA Halos, our full-stack safety critical platform for physical AI: autonomous vehicles, humanoids, industrial robots, and intelligent machines that sense, decide, and act in the real world. This role is equally grounded in ISO 26262 functional safety engineering and embedded systems, rich operating systems, virtualization, accelerated computing. If you have a good understanding of System Software development on Real Time OS (RTOS), ARM architecture, Virtualization, and experience with ISO 26262 safety lifecycle, we want to hear from you! We are a leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing, and autonomous vehicle and robotics safety platforms.
NVIDIA gives automakers, tier-1 suppliers, automotive research institutions, and startups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for autonomous vehicles. Our unified computing architecture makes it possible to train deep neural networks in the data center on the NVIDIA DGX™, and then seamlessly run them on NVIDIA's Halos platform inside the vehicle. Leading vehicle manufacturers, tier 1 suppliers, mapping and simulation companies, software and sensor providers, and startups around the world are developing on the NVIDIA Halos® platform to deliver the best solutions for the new world of mobility. As a System Software Engineer, you will get an opportunity to work on high-performance NVIDIA edge AI platforms running complex mixed-criticality software stacks across QNX, Linux, hypervisors, safety partitions, accelerators, and real-time AI workloads, and work alongside industry experts in diverse teams and projects.
What you’ll be doing:
Own and drive the ISO 26262 functional safety lifecycle for NVIDIA Halos platform components from safety plan to safety analysis for mixed-criticality software stacks.
Architect, design and develop system software for NVIDIA Halos OS across QNX, Linux, and hypervisor-based environments.
Use GenAI and AI-assisted engineering tools to accelerate debugging, test development, code review, documentation, requirements analysis, and workflow automation.
Handle complex issues requiring interactions between components partitioned across the large software stack
Mentor junior engineers
What we need to see:
Bachelors/Masters or equivalent experience in Computer Science
8+ years of experience in System Software architecture and development for real time embedded systems
4+ years of direct, hands-on ISO 26262 functional safety engineering experience.
Strong understanding of computer architecture and operating system fundamentals
Experience in designing and developing solutions for complex system problems.
Practical experience using AI-assisted software development lifecycle.
A dedicated, team and results oriented, self-motivated contributor with excellent analytical and interpersonal skills
Ways to stand out from the crowd:
Demonstrated experience owning ISO 26262 safety lifecycle activities: FMEA/DFA, CPA, safety case development, and working with independent assessors.
In-depth knowledge of embedded systems and real time operating systems, like QNX and RT Linux
Good understanding of ARM architecture and low level software development for ARM v8 based SOCs
Prior hands-on experience in Ada/SPARK programming (including specification and formal verification) and TLA+ formal verification modeling
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills Required
- Bachelor’s or master’s degree in Computer Science, or equivalent experience
- 8+ years of experience in system software architecture and development for real-time embedded systems
- 4+ years of direct, hands-on ISO 26262 functional safety engineering experience
- Strong understanding of computer architecture and operating system fundamentals
- Practical experience using AI-assisted software development lifecycle tools
- Experience designing and developing solutions for complex system problems
- Excellent analytical and interpersonal skills; team-oriented, results-oriented, and self-motivated
- Experience owning ISO 26262 safety lifecycle activities, including FMEA/DFA, CPA, safety case development, and independent assessor engagement
- In-depth knowledge of embedded systems and real-time operating systems, including QNX and RT Linux
- Understanding of ARM architecture and low-level software development for ARMv8-based SoCs
- Hands-on experience with Ada/SPARK programming, specification, and formal verification
- Experience with TLA+ formal verification modeling
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.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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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