NVIDIA
Senior System Software Engineer - Halos
$184K–$356K
US, CA, Santa Clara · Senior · Full-time · Posted Jul 22, 2026
- Experience
- 8+ years in system software architecture and development for real-time embedded systems.
- Education
- Bachelor’s/master’s degree in Computer Science or equivalent experience.
About the job
Build and integrate system software for NVIDIA Halos safety platforms and edge AI systems used in autonomous vehicles, robots, and other intelligent machines.
What you'll do
- Architect, develop, debug, and optimize OS, BSP, boot, driver, networking, diagnostics, and platform software across QNX, Linux, and hypervisor environments.
- Develop safe, secure, and high-integrity software, including I/O virtualization for mixed-criticality systems, and bring up next-generation NVIDIA platforms.
- Use AI-assisted engineering tools and resolve kernel-level and automotive networking issues, including integration of external Ethernet switching technology.
What they ask for
- Bachelor’s/master’s degree or equivalent experience in Computer Science.
- 8+ years of system software architecture and development for real-time embedded systems.
- Strong understanding of computer architecture, operating system fundamentals, and networking.
- Proficiency in Python/C and/or Ada/SPARK, practical experience with AI-assisted development tools, and hands-on experience with debugging, performance analysis, system/network analysis, and platform bring-up.
Nice to have
- In-depth embedded systems and RTOS knowledge, including QNX or RT Linux; ARM architecture and low-level software development for ARM v8-based SoCs.
- Ada/SPARK specification and formal verification, TLA+ modeling, or software development adhering to ISO 26262 and ISO 21434.
Pay
184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)
Tools
QNX, Linux, Python, C, Ada/SPARK, IEEE 1588 PTP, TSN, TLA+
AI focus
Develop and use GenAI and AI-assisted engineering tools to accelerate debugging, test development, code review, documentation, requirements analysis, and workflow automation.
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