Senior System Software Engineer - Halos

Nvidia
US, CA, Santa Clara2026-07-22onsite

About the job

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.

Responsibilities

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.

Qualifications

Minimum

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

Preferred

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