Senior System Software Engineer – Halos Core and Robotics Platform
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About the opportunity
NVIDIA is seeking a talented 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 involves working at the intersection of embedded systems, rich operating systems, safety, security, virtualization, and accelerated computing.
You will have the 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, while collaborating with industry experts across diverse teams.
Key responsibilities
- 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 and 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.
Qualifications
- Bachelor's/Master's degree 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.
- Dedicated, team and results-oriented, self-motivated contributor with excellent analytical and interpersonal skills.
Nice to have
- 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 with ISO 26262 and ISO 21434 standards.
Benefits
- Base salary range of 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
- Eligible for equity and benefits.
Job details
- Applications for this job will be accepted at least until October 11, 2026.
- This posting is for an existing vacancy.
About the company
NVIDIA is a leading artificial intelligence computing company 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 develop on the NVIDIA Halos platform to deliver the best solutions for the new world of mobility.
Additional information
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
- NVIDIA uses AI tools in its recruiting processes.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
