Embedded Automotive Platforms Software Engineer

Join Wayve, a pioneering company in the field of autonomous driving. As an Embedded Automotive Platforms Software Engineer, you will play a crucial role in advancing our AV technology by designing, developing, and maintaining embedded software, SDKs, APIs, and hardware abstraction layers. You will work across Linux and QNX-based systems, debug and troubleshoot software and system performance, and collaborate with cross-functional teams to ensure seamless integration with the autonomous driving stack. This position offers competitive compensation, private healthcare, paid time off, mental health resources, and opportunities for learning and development.

• Contribuer à la création d'une plateforme logicielle qui interagit avec le matériel embarqué automobile et le modèle de conduite Wayve.
• Développer des abstractions et des API qui permettent aux équipes de logiciels et de robotique de Wayve de déployer efficacement le logiciel AV.
• Jouer un rôle crucial dans l'avancement de la technologie AV de Wayve en améliorant l'efficacité, la maintenabilité et l'évolutivité des systèmes embarqués.
• Strong understanding of middleware architectures and IPC mechanisms
• Ability to work in a fast-paced and dynamic environment
• Excellent communication and teamwork skills
• Strong debugging skills and attention to detail in complex systems
• Proficiency in profiling and tracing tools to diagnose bottlenecks and latency issues
• Familiarity with hardware abstraction layers (HAL) and device driver development
• Proven experience in embedded software development, with a strong preference for the automotive, autonomous driving, or robotics industries
• Hands-on experience with embedded operating systems (e.g., Linux, QNX)
• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field
• Proficiency in C++ programming language for high-performance systems
• Prior experience developing and deploying autonomous vehicle, robotics, or other safety-critical software on production systems
• Experience with inference, localisation, control algorithms, navigation, odometry or vehicle interfaces will be a huge plus
• Experience with NVIDIA Drive Orin, Qualcomm automotive platforms, or similar embedded computing platforms
• Knowledge of sensor technologies (e.g., LiDAR, RADAR, cameras)
• Experience developing platform SDKs, APIs, or software frameworks used by internal teams or external partners
• Understanding of safety-critical software development and automotive standards (e.g., ISO 26262, AUTOSAR, MISRA)
• We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply