Senior Software Engineer - Autonomous Vehicles

The automotive industry is undergoing disruption, and NVIDIA is leading the charge in the autonomous vehicle revolution, providing key solutions for major car manufacturers. We are involved in crucial areas of the automotive industry where visual computing and AI play a significant role: the AI Cockpit and Autonomous Vehicles (AV). Autonomous vehicles necessitate a highly powered 'supercomputer on wheels', which presents an intense AI and software computing challenge. Currently, there is no off-the-shelf platform that meets this challenge, so we are developing our own. Have you mastered your technical field and gained several years of senior experience solving complex problems? Are you looking for your next challenge? Come join our automotive teams and apply now! We are currently seeking a Senior Software Engineer for Vehicle Integration based in Gaydon. The Senior Software Engineer (Vehicle Integration) will spearhead the adaptation and integration of NVIDIA Drive Software in highly desirable cars. Your tasks will include: What you’ll be doing: - You will be responsible for adapting NVIDIA ADAS Products for various future Cars. - Organize, execute, and support test campaigns on test track and on public roads to verify NVIDIA Drive Software on various prototype test vehicles. - Liaise with OEM and NVIDIA teams to deliver cutting-edge ADAS systems. - Be prepared to travel for test campaigns at various test track locations worldwide. - Debugging, calibrating, and validating different ADAS functions on development software releases in prototype cars. - Trace issues back to expert teams and provide them with insights for improvement based on vehicle tests. - Ensure traceability from requirements to test results, generate quality test reports and establish test matrix. - Be a part of an internationally distributed team with remote locations in Europe, US, APAC and India. What we need to see: - Proficiency with Linux and/or QNX. - Superior programming skills in C, C++ and Python. - Expertise in Vehicle Networks. - A BS or MS degree from a reputable university, or equivalent experience, in an engineering or computer science related discipline with 5+ years of relevant work experience. - Experience working on complex embedded software projects; experience in the automotive sector would be a big plus. - Extensive experience in all phases of testing including specification, implementation, execution, and documentation. - A valid driving license. - Excellent written and verbal interpersonal skills - able to concisely articulate knowledge and ideas. - Fluency in spoken and written English. - Willingness to travel as required. Ways to stand out from the crowd: - Passion for Cars and ADAS. - Self-motivation and ability to work effectively across different international functional organizations. - Dedication and ability to work with minimal supervision. - Working experience with ADAS or autonomous driving applications. - Knowledge of complex SoC-based automotive systems. A working knowledge of CUDA and GPUs would be advantageous. - Experience in testing systems based on various sensors (e.g. camera, radar, lidar, GPS, ultrasound etc.) - Good knowledge of process standards like ASPICE & ISO26262. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered one of the most desirable employers in the tech world. We have some of the most brilliant and talented people globally working for us, and due to exceptional growth, our elite engineering teams are expanding rapidly. If you're a creative test engineer with a genuine passion for technology, we want to hear from you.