Tech Lead

5 days ago


London, Greater London, United Kingdom Wayve Full time

About Wayve

Wayve is a leading developer of Embodied AI technology, committed to creating a diverse and inclusive culture that values unique skills and perspectives.

Our Vision

We aim to create autonomy that propels the world forward by developing intelligent, mapless, and hardware-agnostic AI products for automakers, accelerating the transition from assisted to automated driving.

The Role

We are seeking a strong technical lead to join our onboard Software Platform team, responsible for designing software architecture to integrate our ML-based AD solution into an automotive L2-L3 system application.

Key Responsibilities

  • Lead key technical programs and ensure the robustness, compliance, and performance of our automotive embedded systems.
  • Design and develop software architecture to integrate our machine learning-based autonomous driving solution into an automotive L2-L3 system application.
  • Collaborate with cross-functional teams to define and refine the software architecture.
  • Ensure the software architecture aligns with ISO 26262 functional safety standards and other relevant regulations.
  • Maintain a robust, compliant, and scalable code base for embedded systems.
  • Deliver and maintain real-time Linux-based and QNX-based applications for a fleet of embedded devices on automobiles.
  • Develop and implement fault-tolerant software solutions with comprehensive system diagnostics.
  • Provide mentorship to engineers and lead forums to promote a culture of engineering excellence and compliance.

Requirements

  • Proven experience in developing and deploying safety-critical automotive embedded software in C++ for automotive products.
  • Deep understanding and experience with ASPICE-compliant Software Development Life Cycle (SDLC) processes.
  • Expertise in creating embedded software using the AUTOSAR architecture.
  • Strong leadership qualities, capable of leading cross-functional teams and projects.
  • Effective communication skills, capable of conveying complex technical and business concepts to a broad audience.

Desirable

  • Expertise and proficiency in using both C++ and Rust for embedded software development.
  • A Master's degree or greater in Computer Science, Electrical Engineering, or a related field.
  • Strong background in developing software for a variety of automotive embedded systems and operating systems, notably Linux and QNX.
  • Experience with L2-L3 autonomous driving applications and integrating ML-based AD solutions into automotive systems.
  • Familiarity with ISO 26262 functional safety standards.

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