Description
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. You will get an opportunity to 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, and work alongside industry experts in diverse teams and projects.
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, diagnostics, and platform software for NVIDIA SoCs and edge AI platforms.
- Develop safe and secure software that follows ISO 26262 and ISO 21434 standards.
- Bring up and optimize next-generation NVIDIA platforms, working closely with ASIC, firmware, OS, safety, security, and platform teams.
- 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.
- Design debugging, tracing, logging, and performance-analysis solutions that improve developer experience
Requirements:
- Bachelors/Masters 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 and operating system fundamentals
- Experience designing and developing complex system solutions, including virtualized system configurations
- Strong Python/C and/or Ada/SPARK programming and debugging skills
- Practical experience using AI-assisted development tools for coding, debugging, testing, documentation, or workflow automation.
- Hands-on experience with debugging tools, performance analysis, system analyzer tools and Platform bring up
- A dedicated, team and results oriented, self-motivated contributor with excellent analytical and interpersonal skills
Benefits:
- Equity
- Benefits