Senior System Software Architect - Halos Core and Robotics Platform
About the role
We are looking for a Senior System Software Architect 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, diagnostics, and platform software for NVIDIA SoCs and edge AI platforms.
- Develop I/O Virtualization solutions for mixed-criticality systems.
- Develop safe and secure software compliant with 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.
- Use Formal Methods to architect and develop high integrity software.
- 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
- 12+ years of experience in System Software architecture and development for real time embedded systems
- Strong understanding of computer architecture and operating system fundamentals
- Experience in designing and developing solutions for complex system problems
- Strong 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 and system analyzer tools
- A dedicated, team and results oriented, self-motivated contributor with excellent analytical and interpersonal skills
Qualifications
- In-depth knowledge of embedded systems and real time operating systems, like QNX and RT Linux
- 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 performing architectural safety analysis (FMEA/DFA) and security analysis (Threat modeling)
- Experience taking features from inception to product following Software Development Life Cycle (SDLC) practices
Skills
- Strong understanding of System Software development on Real Time OS (RTOS)
- Strong understanding of ARM architecture and low-level software development for ARM v8 based SOCs
- Strong understanding of Virtualization
- Strong understanding of Safety, Security, and Accelerated Computing
- Strong 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 and system analyzer tools
- Experience in Formal Methods and GenAI
Benefits
Base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be eligible for equity and benefits.
Pay
Base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
Schedule
Not specified.
Benefits
Not specified.
Skills
Not specified.
Application Instructions
Applications for this job will be accepted at least until July 19, 2026.
Company Information
NVIDIA is a leading artificial intelligence computing company and is paving the way with innovations in gaming, visualization, supercomputing, and autonomous vehicle and robotics safety platforms. NVIDIA gives automakers, Tier-1 suppliers, automotive research institutions, and startups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for autonomous vehicles. Our unified computing architecture makes it possible to train deep neural networks in the data center on the NVIDIA DGX™, and then seamlessly run them on NVIDIA's Halos platform inside the vehicle. Leading vehicle manufacturers, tier 1 suppliers, mapping and simulation companies, software and sensor providers, and startups around the world are developing on the NVIDIA Halos® platform to deliver the best solutions for the new world of mobility.