We are looking for a talented Senior System Software Engineer to help build NVIDIA Halos, our full-stack safety platform for physical AI: autonomous vehicles, humanoids, industrial robots, and intelligent machines that sense, decide, and act in the real world. This role sits at the intersection of embedded systems, rich operating systems, safety, security, virtualization, and accelerated computing. If you have a good understanding of System Software development on Real Time OS (RTOS), ARM architecture, Virtualization, strong C and/or Ada/SPARK programming skills, Automotive Networking Solutions, Time Synchronization, and experience with formal methods, 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:
Architect, design, develop, and debug system software for NVIDIA Halos OS across QNX, Linux, and hypervisor-based environments.
Design and develop BSP, boot, driver, device-management, networking, diagnostics and platform software for NVIDIA SoCs and edge AI platforms.
Develop safe and secure software in accordance with ISO 26262 and ISO 21434 standards.
Bring up and optimize next-generation NVIDIA platforms, working closely with ASIC, firmware, OS, safety, security, platform teams and external vendors.
Design & develop I/O Virtualization solutions for mixed-criticality systems
Use Formal Methods to architect and develop high integrity software
Develop and use GenAI and AI-assisted engineering tools to accelerate debugging, test development, code review, documentation, requirements analysis, and workflow automation.
Resolve complex kernel-level issues and lead integration of external Ethernet switching technology for next-generation vehicle platforms.
What we need to see:
Bachelors/master’s or equivalent experience in Computer Science
8+ years of experience in System Software architecture and development for real time embedded systems
Strong understanding of computer architecture, operating system fundamentals, and Networking.
Proficient programming and debugging abilities in Python/C and/or Ada/SPARK
Practical experience using AI-assisted development tools for coding, debugging, testing, documentation, or workflow automation.
Hands-on experience with debugging tools, performance analysis, system and Network analyzer tools and Platform bring up
Deep expertise in automotive networking across Linux and QNX, including network stack optimization, multi-OS integration, IEEE 1588 PTP, TSN, hardware time-stamping, Ethernet switches, PHYs, and cross-layer debug.
A dedicated, team and results oriented, self-motivated contributor with excellent analytical and interpersonal skills
Ways to stand out from the crowd:
In-depth knowledge of embedded systems and real time operating systems, like QNX and RT Linux skills
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
Experience in software development adhering to ISO 26262 and ISO 21434 standards
You will also be eligible for equity and benefits.
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 or Master's degree in Computer Science or equivalent experience
- 8+ years of system software architecture and development for real-time embedded systems
- Strong understanding of computer architecture, operating system fundamentals, and networking
- Proficient programming and debugging abilities in Python and/or C and/or Ada/SPARK
- Practical experience using AI-assisted development tools for coding, debugging, testing, documentation, or workflow automation
- Hands-on experience with debugging tools, performance analysis, system and network analyzer tools, and platform bring-up
- Experience with QNX, Linux, RTOS environments, hypervisors, and virtualization
- Deep expertise in automotive networking including network stack optimization, multi-OS integration, IEEE 1588 PTP, TSN, hardware time-stamping, Ethernet switches, and PHYs
- Experience developing safe and secure software in accordance with ISO 26262 and ISO 21434
- Team-oriented, self-motivated contributor with excellent analytical and interpersonal skills
- Prior hands-on Ada/SPARK programming including specification and formal verification (listed as preferred in posting)
- TLA+ formal verification modeling experience
- Good understanding of ARM architecture and low-level software development for ARM v8 SOCs
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.”
