August 9
🏢 In-office - London
• As the Manager of the Robot Software team, you will guide our initiatives to develop, integrate, optimise, and support software solutions crucial for sensor data and vehicle actuator integration to enable autonomous functionality on embedded devices within our vehicles. • From the initial concept to final deployment, your expertise and leadership will facilitate the seamless operation of our autonomous vehicle (AV) fleet, demanding a deep understanding of Linux-based application development, embedded computing, and robust system diagnostics within the automotive sector. • The Robot Software team is central to integrating Wayve’s end-to-end AI driver model into automobiles. Collaborating extensively with stakeholders from Science, Robotics, and Product Management.
• Proven Leadership: At least 5 years in a leadership role within software development or embedded systems, including 3 years directly managing a software development team through all stages of the software lifecycle. • Expertise in Software and Embedded Systems: Strong knowledge of software development for embedded systems, real-time data processing, and system diagnostics, preferably within the automotive or similar regulated industries. • Technical Proficiency: Hands-on experience with Linux-based development, real-time systems, and edge computing. Proficiency in programming languages such as C++ or Rust, and experience with relevant software development tools and environments. • Strategic Acumen: Excellent ability to conceive and execute technology projects that align with both immediate and long-term business objectives of the Onboard Software organisation. • Collaborative Abilities: Outstanding interpersonal and communication skills, capable of fostering collaboration across diverse technical teams and company divisions. • Educational Background: A 4-year degree in Computer Science, Electrical Engineering, or a related field • Automotive Software: Background in developing automotive software, with knowledge of ASPICE, DriveOS, or AutoSAR. • Educational Background: A Master’s degree or greater in Computer Science, Electrical Engineering, or a related field is desired.
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