Drimva

NVIDIA

Senior System Software Engineer - Halos Core and Robotics Platform

$184K–$356K

US, CA, Santa Clara · Senior · Full-time · Posted Aug 19, 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

Develop system software for NVIDIA’s Halos safety platform, supporting real-time, mixed-criticality systems for autonomous vehicles, robotics, and other physical AI applications.

What you'll do

  • Architect, develop, debug, and optimize system software, BSPs, boot, drivers, device management, diagnostics, and platform software across QNX, Linux, and hypervisor-based environments.
  • Develop I/O virtualization and safe, secure software for NVIDIA SoCs and edge AI platforms, including software compliant with ISO 26262 and ISO 21434.
  • Apply formal methods and AI-assisted engineering tools; develop debugging, tracing, logging, and performance-analysis solutions.

What they ask for

  • Bachelor’s/Master’s degree in Computer Science or equivalent experience.
  • 8+ years of experience in system software architecture and development for real-time embedded systems.
  • Strong C and/or Ada/SPARK programming and debugging skills; understanding of computer architecture and operating system fundamentals.
  • Practical experience using AI-assisted development tools and hands-on experience with debugging, performance-analysis, and system-analyzer tools.

Nice to have

  • In-depth embedded and RTOS knowledge, including QNX or RT Linux; ARM v8-based SoC development experience.
  • Ada/SPARK specification and formal verification, TLA+ modeling, safety or security analysis, or experience taking features through the SDLC.

Pay

184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)

Tools

QNX, Linux, ARM, C, Ada/SPARK, TLA+, ISO 26262, ISO 21434

AI focus

Develop safety software for physical AI platforms and use GenAI and AI-assisted engineering tools for debugging, testing, code review, documentation, requirements analysis, and workflow automation.

Model-written summary · the original posting is authoritative

First seen Oct 8, 2026 · Last verified Nov 4, 2026 (UTC)