Senior System Software Engineer - Halos Core and Robotics Platform
at Nvidia
š Santa Clara, United States
USD 184,000-356,500 per year
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 ā basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 ā daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 ā you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 ā 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
Performance Analysis @ 4
Security @ 4
Software Development @ 4
Spark @ 7
- 1-2 ā basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 ā daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 ā you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 ā 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
We are looking for a versatile Senior System Software Engineer to help build NVIDIA Halos, a full-stack safety platform for physical AI, including autonomous vehicles, humanoids, industrial robots, and intelligent machines. This role sits at the intersection of embedded systems, 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 board support packages (BSP), 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 while working closely with ASIC, firmware, operating system, safety, security, and platform teams.
- Use formal methods to architect and develop high-integrity software.
- Use generative AI 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
- Bachelor's or master's degree in Computer Science, or equivalent experience.
- 8 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 tools, performance analysis, and system analyzer tools.
- Excellent analytical and interpersonal skills, with a dedicated, team-oriented, results-oriented, and self-motivated approach.
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 ARMv8-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, including threat modeling.
- Experience taking features from inception to product using Software Development Life Cycle (SDLC) practices.
Compensation and Benefits
- Level 4 base salary: USD 184,000ā287,500 per year.
- Level 5 base salary: USD 224,000ā356,500 per year.
- Eligibility for equity and benefits.
- Applications will be accepted at least until July 25, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer committed to an inclusive work environment.
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