NVIDIA Drive OS / C++ / Linux

NVIDIA Drive OS / C++ / Linux Location : Gothenburg, 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 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. Note: Direct experience with GMSL cameras is not required. We are primarily looking for a strong C++/Linux engineer with practical NVIDIA Drive OS experience and a broader understanding of embedded platforms and hardware integration.