Senior System Software Engineer - 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
Performance Analysis @ 4
Python @ 7
Security
Software Development @ 7
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 looking for a 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. The role spans embedded systems, operating systems, safety, security, virtualization, and accelerated computing.
The engineer will 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.
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.
- Develop safe and secure software following ISO 26262 and ISO 21434 standards.
- Bring up and optimize next-generation NVIDIA platforms in collaboration with ASIC, firmware, operating system, safety, security, and platform teams.
- Design and develop I/O virtualization solutions for mixed-criticality systems.
- Use formal methods to architect and develop high-integrity software.
- Develop and 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 that improve developer experience.
Requirements
- Bachelor's or master's degree, or equivalent experience, in Computer Science.
- At least 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.
- 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, such as 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.
- Software development experience complying with ISO 26262 and ISO 21434 standards.
Compensation and Benefits
The base salary is determined by location, experience, and the pay of employees in similar positions. The base salary range is USD 184,000–287,500 for Level 4 and USD 224,000–356,500 for Level 5. The role is also eligible for equity and benefits.
NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment.