Senior System Software Engineer - Halos Core and Robotics Platform

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 184,000 - 357,000

Full time

14 days+
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Benefits offered by this job

Equity compensation

Job summary

NVIDIA Corporation is seeking a Senior System Software Engineer to build the Halos platform. You will work on high-performance edge AI platforms across QNX, Linux, and hypervisor environments, focusing on safety and security of mixed-criticality systems.

You will design and implement BSPs, IO virtualization, drivers, and platform software, while applying formal methods and ISO standards to ensure safety and security in autonomous/industrial robotics contexts.

Qualifications

  • 8+ years in system software architecture for real-time embedded systems.
  • Strong C and Ada/SPARK programming and debugging skills.
  • Experience with RTOS and embedded platforms.
  • Experience using AI-assisted development and formal methods.

Responsibilities

  • Architect, design, develop, and debug system software for Halos OS on QNX/Linux.
  • Develop BSP, I/O virtualization, boot, and drivers for mixed-criticality systems.
  • Ensure software complies with ISO 26262 and ISO 21434 using formal methods.
  • Bring up and optimize NVIDIA edge platforms with cross-functional teams.
  • Leverage AI-assisted tools to accelerate debugging, testing, and reviews.
  • Design tracing, logging, and performance-analysis solutions.

Skills

C
Ada/SPARK
RTOS
Embedded systems
ISO 26262
ISO 21434
Formal methods
AI-assisted development tools
Debugging tools

Education

Bachelors/Masters in Computer Science

Tools

QNX
RT Linux
Hypervisor
ARM architecture

Job description

We are looking for an experienced Senior System Software Engineer to help build NVIDIA Halos. Halos is 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 and I/O Virtualization solutions, boot, driver, diagnostics, and platform software for mixed-criticality systems on NVIDIA SoCs and edge AI platforms.
  • Develop safe and secure software aligned with ISO 26262 and ISO 21434 standards by maximising the use of Formal Methods.
  • Bring up and optimize next-generation NVIDIA platforms, working closely with ASIC, firmware, OS, safety, security, and platform teams.
  • 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, developing solutions for complex system problems, and development for real-time embedded systems
  • Strong understanding of computer architecture and operating system fundamentals.
  • 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
  • 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 with ISO 26262 and ISO 21434 standards.
Salary and benefits:
  • Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.
  • The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
  • You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 23, 2026.

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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

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