About this Senior System Software Engineer - Halos Core and Robotics Platform role at NVIDIA
We are looking for a talented Senior System Software Engineer 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. If you have a good understanding of System Software development on Real Time OS (RTOS), ARM architecture, Virtualization, strong C and/or Ada/SPARK programming skills, and experience with formal methods, we want to hear from you!
We are a leading artificial intelligence computing company and are 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. As a System Software Engineer, you will get an opportunity to 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, and work alongside 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.
Develop safe and secure software that follows 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.
Design & develop I/O Virtualization solutions for mixed-criticality systems
Use Formal Methods to architect and develop high integrity software
Develop and 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
What we need to see:
Bachelors/Masters or equivalent experience in Computer Science
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
A dedicated, team and results oriented, self-motivated contributor with excellent analytical and interpersonal skills
Ways to stand out from the crowd:
In-depth knowledge of embedded systems and real time operating systems, like QNX and RT Linux skills
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
Background in software development in compliance to ISO 26262 and ISO 21434 standards
You will also be eligible for equity and benefits.
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 proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.
