Senior System Software Engineer - Halos

at Nvidia

USD 184,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
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AI @ 4 Debugging @ 6 GenAI Linux @ 4 Networking @ 7 Performance Analysis @ 4 Python @ 6 Robotics Security Software Development @ 7 Spark @ 6

Details

We are looking for a talented Senior System Software Engineer to help build NVIDIA Halos, a full-stack safety platform for physical AI, including autonomous vehicles, humanoids, industrial robots, and intelligent machines. This role sits at the intersection of embedded systems, rich operating systems, safety, security, virtualization, and accelerated computing.

As a System Software Engineer, you will 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. You will collaborate with industry experts and diverse teams on automotive and robotics safety platforms.

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 in collaboration with ASIC, firmware, OS, safety, security, platform teams, and external vendors.
Design and 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.

Requirements

Bachelor’s or master’s degree, 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 debugging.
Excellent analytical and interpersonal skills, with a team-oriented, results-oriented, and self-motivated approach.

Preferred Qualifications

In-depth knowledge of embedded systems and real-time operating systems, including QNX and RT Linux.
Good understanding of ARM architecture and low-level software development for ARMv8-based SoCs.
Hands-on experience with Ada/SPARK programming, including specification and formal verification, and TLA+ formal verification modeling.
Experience developing software in accordance with ISO 26262 and ISO 21434 standards.

Compensation And Benefits

The base salary range is USD 184,000–287,500 for Level 4 and USD 224,000–356,500 for Level 5. Salary is determined based on location, experience, and the pay of employees in similar positions. The role is also eligible for equity and benefits.

NVIDIA uses AI tools in its recruiting processes and is committed to an inclusive work environment and equal opportunity employment.