Senior System Software Engineer - QNX BSP and IOs Virtualization

We have an exciting opportunity for a talented Senior System Software Engineer to join our dynamic Automotive Team and help us develop innovative, secure, and high-performance automotive systems. 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! Join us in creating the future of automotive technology and be part of a team that is revolutionizing the industry. We are making extensive use of formal methods to automate our work flow and increase the quality of our SW. We are a leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing, and self-driving cars.

NVIDIA gives automakers, tier-1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for self-driving 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 DRIVE 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 DRIVE® platform to deliver the best solutions for the new world of mobility. As a System Software Architect in the Automotive team, you will get an opportunity to work on NVIDIA's latest SOCs, help tackle complex and important problems, and work alongside industry experts in diverse teams and projects.

What you’ll be doing:

Architect, design and develop safety (ISO26262) and security (ISO21434) compliant system software for NVIDIA DRIVE platform for autonomous vehicles

Architect, design and develop Real Time System Software features for NVIDIA Tegra SOC

Design & develop I/O Virtualization solutions for NVIDIA Tegra SOC

Development & bring-up activities for next-generation Tegra SOC

Work with the ASIC teams to enhance SW performance and virtualization support in the SOC

Extensively use Formal Methods to architect and develop high integrity software

Design debugging solutions and tooling to improve developer experience on DRIVE platform

Learn to harness maximum and consistent system software performance and develop workflows and tools to measure performance

What we need to see:

Bachelors/Masters or equivalent experience in Computer Science

5+ years of experience in System Software architecture and development for real time embedded systems

Strong understanding of computer architecture and operating system fundamentals

Experience in designing and developing solutions for complex system problems.

Strong C and/or Ada/SPARK programming and debugging skills

Hands-on experience with performance analysis and system analyzer tools

Hands-on background with debugging 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

Experience performing architectural safety analysis (FMEA/DFA) and security analysis (Threat modeling)

Background in software development in compliance to ISO 26262 standard following Software Development Life Cycle (SDLC) practices

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 31, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.