VIDIA Drive OS / C++ / Linux

23499

23 Nov, 2026 to 31 Dec, 2027

Stockholm (30% remote)

NVIDIA Drive OS / C++ / Linux

Location: Stockholm, Sweden

Start: ASAP

Scope: Full-time

Work model: Hybrid, with on-site presence required due to hardware dependencies

About the Assignment

We are looking for a senior embedded software engineer to join an advanced technology team working with autonomous driving and vehicle systems.

The assignment focuses on low-level software development, platform integration and communication between software and vehicle hardware. You will work in a technically complex environment where reliability, system understanding and hands-on troubleshooting are essential.

Previous experience with NVIDIA Drive OS is a key requirement. Combined with strong C++ and Linux skills, you should have experience integrating sensors, hardware components or similar platform-level functionality in embedded systems.

Key Responsibilities

• Develop and maintain embedded software components in C++ on Linux.

• Integrate, configure and troubleshoot software components within NVIDIA Drive OS.

• Contribute to sensor integration, hardware communication and data flows within vehicle systems.

• Investigate and resolve complex issues across software, operating system and hardware interfaces.

• Collaborate closely with engineers across embedded software, hardware and autonomous driving systems.

• Contribute to system reliability, performance and maintainability.

Required Experience

• Strong hands-on experience developing software in C++.

• Solid experience with Linux, preferably in embedded or hardware-adjacent environments.

• Previous practical experience working with NVIDIA Drive OS.

• Experience integrating sensors, hardware components or platform functionality in embedded systems. Experience at any relevant software layer is welcome.

• Strong debugging and troubleshooting skills, with the ability to work independently in complex technical environments.

• Good communication skills in English.

Meriting Experience

• Automotive, autonomous driving, robotics or other advanced embedded systems.

• Experience with GMSL cameras

• Experience with HAL, VHAL, BSP, ECU integration, device interfaces or platform services.

• Sensor integration involving cameras, radar, LiDAR or other sensor technologies.

• Experience with Linux networking, filesystem APIs, hardware interfaces or high-volume data flows.

• Experience with NVIDIA DriveWorks, NVENC or hardware-accelerated processing.

• Experience with cloud-connected systems or platforms such as Google Cloud.

• Experience with Go.