Software Engineer, Embedded Automotive Platform - Wayve

Design, develop and maintain embedded software for autonomous vehicle platforms, focusing on sensor integration and hardware abstraction. Implement and optimize device drivers for various sensors and compute hardware. Collaborate with cross-functional teams to define software requirements and ensure seamless integration with the autonomous driving application stack. Debug and troubleshoot software issues, ensuring high reliability and performance. Participate in code reviews, testing, and documentation to maintain high software quality standards. Stay up-to-date with industry trends and advancements in embedded systems and autonomous vehicle technology Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field Proven experience in embedded software development, with a strong preference for the automotive, autonomous driving, or robotics industries Proficiency in C++ programming language for high-performance systems Hands-on experience with embedded operating systems (e.g., Linux, QNX, RTOS) Experience with embedded operating systems (e.g., Linux, QNX, RTOS) Strong understanding of Middleware architectures and IPC mechanisms Proficiency in profiling and tracing tools to diagnose bottlenecks and latency issues Familiarity with Hardware Abstraction Layers (HAL) and device driver development Knowledge of sensor technologies (e.g., LiDAR, RADAR, cameras) and their integration with embedded systems Strong debugging skills and attention to detail in complex systems Excellent communication and teamwork skills Ability to work in a fast-paced and dynamic environment Prior experience developing and deploying autonomous vehicle software on commercial automobiles Experience with NVIDIA Drive Orin platform, Qualcomm 8650/8620 or similar automotive computing platforms Understanding of safety-critical software development and automotive standards (e.g., ISO 26262, AUTOSAR, MISRA)

Design, develop and maintain embedded software for autonomous vehicle platforms, focusing on sensor integration and hardware abstraction. Implement and optimize device drivers for various sensors and compute hardware. Collaborate with cross-functional teams to define software requirements and ensure seamless integration with the autonomous driving application stack. Debug and troubleshoot software issues, ensuring high reliability and performance. Participate in code reviews, testing, and documentation to maintain high software quality standards. Stay up-to-date with industry trends and advancements in embedded systems and autonomous vehicle technology

Design, develop and maintain embedded software for autonomous vehicle platforms, focusing on sensor integration and hardware abstraction. Implement and optimize device drivers for various sensors and compute hardware. Collaborate with cross-functional teams to define software requirements and ensure seamless integration with the autonomous driving application stack. Debug and troubleshoot software issues, ensuring high reliability and performance. Participate in code reviews, testing, and documentation to maintain high software quality standards. Stay up-to-date with industry trends and advancements in embedded systems and autonomous vehicle technology Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field Proven experience in embedded software development, with a strong preference for the automotive, autonomous driving, or robotics industries Proficiency in C++ programming language for high-performance systems Hands-on experience with embedded operating systems (e.g., Linux, QNX, RTOS) Experience with embedded operating systems (e.g., Linux, QNX, RTOS) Strong understanding of Middleware architectures and IPC mechanisms Proficiency in profiling and tracing tools to diagnose bottlenecks and latency issues Familiarity with Hardware Abstraction Layers (HAL) and device driver development Knowledge of sensor technologies (e.g., LiDAR, RADAR, cameras) and their integration with embedded systems Strong debugging skills and attention to detail in complex systems Excellent communication and teamwork skills Ability to work in a fast-paced and dynamic environment Prior experience developing and deploying autonomous vehicle software on commercial automobiles Experience with NVIDIA Drive Orin platform, Qualcomm 8650/8620 or similar automotive computing platforms Understanding of safety-critical software development and automotive standards (e.g., ISO 26262, AUTOSAR, MISRA)