Senior Embedded System Software Engineer - RTOS & Safety

NVIDIA AI; Indiana (PA); On-site; USD 150,000 - 190,000; Full time

Job summary

NVIDIA is seeking a Senior System Software Engineer to help build the Halos platform for autonomous and intelligent systems. You will work across QNX, Linux, and hypervisor environments to design and develop safe, high-integrity software for edge AI platforms.

Join a team that uses advanced methods, GenAI tools, and cross-functional collaboration to deliver high-performance software for real-world mobility and robotics solutions.

Qualifications

• Bachelors/Masters or equivalent in Computer Science.
• 8+ years in system software for real-time embedded systems.
• Strong knowledge of computer architecture and OS fundamentals.
• Experience solving complex system problems.
• Strong C and/or Ada/SPARK programming and debugging skills.
• Experience with AI-assisted development tools for coding/debugging.
• Hands-on with debugging tools and performance analysis.
• Analytical, team-oriented and results-driven.

Responsibilities

• Architect, design, develop, and debug system software for NVIDIA Halos OS.
• Design BSP, boot, drivers, device management, and diagnostics.
• Develop IO virtualization for mixed-criticality systems.
• Build safe, secure software aligned with ISO 26262/21434.
• Bring up and optimize NVIDIA platforms with cross-teams.
• Apply formal methods for high-integrity software.
• Leverage GenAI tools to speed debugging, testing, and reviews.
• Create debugging, tracing, logging, and performance analysis.
• Resolve cross-component issues in large software stacks.
• Mentor junior engineers.

Skills

C programming

Ada/SPARK

RTOS

ARM architecture

Linux

QNX

Formal methods

AI-assisted tooling

Debugging tools

System software

Education

Bachelor's or Master's in Computer Science

Tools

QNX

Linux

Hypervisors

ARMv8 tooling

Job description

NVIDIA is seeking a Senior System Software Engineer to help build the Halos platform for autonomous and intelligent systems. You will work across QNX, Linux, and hypervisor environments to design and develop safe, high-integrity software for edge AI platforms.

Join a team that uses advanced methods, GenAI tools, and cross-functional collaboration to deliver high-performance software for real-world mobility and robotics solutions.