Senior System Software Architect - Halos Core and Robotics Platform
Listed on 2026-07-20
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Software Development
Software Engineer, Software Architect, AI Engineer (Applied/Software), Embedded Software Engineer
Overview
Senior System Software Architect for NVIDIA Halos, our full-stack safety platform for physical AI in 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. Strong experience in System Software development on Real Time OS (RTOS), ARM architecture, virtualization, and C programming is required. NVIDIA is a leading AI computing company advancing gaming, visualization, supercomputing, and autonomous vehicle and robotics safety platforms.
NVIDIA enables automakers, Tier-1 suppliers, automotive research institutions, and startups to develop and deploy AI systems for autonomous vehicles. Our unified computing architecture supports training deep neural networks in the data center and running them on NVIDIA Halos platforms inside the vehicle. Leading manufacturers, mapping and simulation companies, software and sensor providers, and startups collaborate on NVIDIA Halos to deliver mobility solutions.
As a Senior System Software Architect, you will architect high-performance NVIDIA edge AI platforms running complex mixed-criticality software stacks across QNX, Linux, hypervisors, safety partitions, accelerators, and real-time AI workloads, collaborating with industry experts in diverse teams and projects.
What you'll be doing- 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.
- Design & 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, collaborating with ASIC, firmware, OS, safety, security, and platform teams.
- Use Formal Methods to architect and develop high-integrity software.
- Apply 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 to improve developer experience.
- 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
- 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 So Cs
- 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
Your base salary will be determined based on location, experience, and 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.
Additional informationApplications for this job will be accepted at least until July 19, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. We value diversity in our current and future employees and do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
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