The role

As an Embedded Software Engineer within the Map and Routing team, you'll play a pivotal role in designing and implementing embedded map and routing services that meet the onboard needs of Wayve's autonomous vehicles. You will collaborate closely with the rest of the Onboard Software team to integrate map and routing functionalities directly onto the vehicle, ensuring that our AV technology can seamlessly utilize mapping data for robust and efficient navigation. Your work will help lay the foundation for onboard and offboard services that keep our AI development, verifications, and operations consistent across deployments. This is an opportunity to shape key elements of our AV stack that are crucial for scaling our technology globally.

Challenges you will own

• Embedded Map Node Development: Design and implement the embedded map and routing service node to serve the onboard needs of the vehicle.
• Integration with Onboard Systems: Collaborate with the Onboard Software team to ensure smooth integration of map and routing services, including testing, observability, and overall software quality.
• Stakeholder Coordination: Coordinate with other teams, including Science, Embodied AI, and Evaluation & Validation, to understand and address map and routing requirements, ensuring alignment with project goals.
• API Consistency: Contribute to the development of APIs that work uniformly for both onboard and offboard use cases, ensuring a cohesive approach to map data usage across Wayve's systems.

About you

• Embedded Software Development Experience: At least 5 years of experience in embedded software engineering, with a focus on real-time systems.
• Programming Expertise in C++ or Rust: We use both Rust and C++ in our onboard software. Proficiency in developing efficient, high-quality embedded code using either language, and a willingness to use both, learning if needed, is necessary to be successful in this role.
• Map and Routing Systems: Experience working with map data and routing services, ideally in automotive or related environments.
• Cross-functional Collaboration: Strong communication skills and experience working with multiple stakeholders, from machine learning engineers to cloud teams.
• Testing and Observability: Familiarity with software testing practices, particularly for real-time or safety-critical systems, and a strong emphasis on observability and monitoring.

Desirable 

• Broad software engineering experience: Some experience building cloud services would be helpful for collaborating with the cloud side of the team.
• Performance optimization: Experienced and skilled at optimizing performance in critical path code.
• Service oriented software design: The team’s product is a service with many users who have a diversity of needs. Experience designing and creating concise but general solutions would be very beneficial to the team’s goals.