Senior System Software Architect - Halos Core and Robotics Platform
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Debugging @ 4
GenAI
Generative AI
Linux @ 4
Security @ 4
Software Development @ 4
Spark @ 7
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking a Senior System Software Architect to help build NVIDIA Halos, a full-stack safety platform for physical AI, including autonomous vehicles, humanoids, industrial robots, and intelligent machines. The role spans embedded systems, operating systems, safety, security, virtualization, and accelerated computing.
The architect will work on high-performance NVIDIA edge AI platforms running mixed-criticality software stacks across QNX, Linux, hypervisors, safety partitions, accelerators, and real-time AI workloads. The role involves collaboration with ASIC, firmware, operating system, safety, security, and platform teams.
Responsibilities
- Architect, design, develop, and debug system software for NVIDIA Halos OS across QNX, Linux, and hypervisor-based environments.
- Design and develop board support packages, boot software, drivers, device management, diagnostics, and platform software for NVIDIA SoCs and edge AI platforms.
- Design and 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.
- Use formal methods to architect and develop high-integrity software.
- Use generative AI and AI-assisted engineering tools for debugging, test development, code review, documentation, requirements analysis, and workflow automation.
- Design debugging, tracing, logging, and performance-analysis solutions to improve developer experience.
Requirements
- Bachelor's or master's degree, or equivalent experience, in Computer Science.
- 12 or more 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 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, performance-analysis, and system-analyzer tools.
- Dedicated, team-oriented, results-oriented, and self-motivated approach, with excellent analytical and interpersonal skills.
Preferred Qualifications
- In-depth knowledge of embedded systems and real-time operating systems, including QNX and RT Linux.
- Understanding of ARM architecture and low-level software development for ARM v8-based SoCs.
- Hands-on experience with Ada/SPARK programming, including specification and formal verification, and TLA+ formal verification modeling.
- Experience performing architectural safety analysis, including FMEA and DFA, and security analysis such as threat modeling.
- Experience taking features from inception to product using software development life cycle practices.
Compensation and Benefits
The base salary range is $224,000-$356,500 USD for Level 5 and $272,000-$431,250 USD for Level 6. Salary is determined based on location, experience, and the pay of employees in similar positions. The role also includes eligibility for equity and benefits.
Applications will be accepted at least until July 19, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.