Engineering Manager - Robot Software , Inference and Accelerators

Job Description

Wayve is seeking an Engineering Manager for the Inference & Accelerators team within the Robot Software division. This role involves leading a team of engineers to deliver a reliable software stack for on-road experimentation, enabling rapid iteration and data gathering for autonomous driving improvements. The Inference & Accelerators team is central to Wayve’s AI technology, abstracting hardware and software complexities for AI engineers. Responsibilities:

• Own software layers interfacing with inference and IPC systems.
• Develop abstraction and data movement frameworks for dynamically configured AI inference.
• Create software enabling new inference hardware types.
• Lead a high-performing team, providing technical direction and setting clear objectives.
• Own the technical roadmap, aligning with stakeholders on priorities and timelines.
• Empower the team to operate autonomously, providing necessary resources and support.
• Guide the team to develop fault-tolerant software with comprehensive diagnostic tools.
• Communicate with leadership and stakeholders to manage expectations and remove roadblocks.
• Support team member development through guidance, mentorship, and feedback.

Requirements:

• Linux Cpp/Rust application development experience.
• Experience with data serialization and IPC/RPC frameworks on Linux (or similar) systems.
• Proven leadership and management experience in a software development team, preferably working with complex and/or embedded systems
• Strong hand-on development experience in a high performance programming language such as C++ or Rust
• Demonstrated ability to build, manage and grow high-performing teams, owning the recruitment process and supporting career development
• Excellent communication skills and a track record of effective collaboration across teams and functions
• Strategic acumen and the ability to distill company objectives and customer requirements into a vision and technical roadmap for your team’s internal product
• A degree in Computer Science, Electrical Engineering, or a related field, or equivalent professional experience

The role offers:

• A hybrid working policy combining office and remote work.
• Core working hours with flexible scheduling.