Tech lead, Automotive Onboard Software
August 11
🏢 In-office - London
Description
• We are looking for a strong technical lead who has experience in producing and shipping reliable, performant automotive-grade software for distributed, high-end computing devices. • You will work within an engineering team delivering the software for edge devices to reliably provide data, experimentation, validation, and autonomy on a large-scale fleet of vehicles. • You will be responsible for designing software architecture to integrate our ML-based AD solution into an automotive L2-L3 system application. • As a Technical Lead for Embedded Automotive Software, you will play a critical role in developing and deploying software that supports the running of an advanced end-to-end AI model for autonomous driving. • Your role will involve addressing complex technical challenges, working with multiple teams to deliver substantial program milestones in the automotive sector.
Requirements
• Extensive experience in developing and deploying safety-critical automotive embedded software in C++ for automotive products, with a proven track record of leading large technical programs and teams. • 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. Excellent ability to collaborate across divisions and effectively engage stakeholders. • Effective communication skills, capable of conveying complex technical and business concepts to a broad audience. • Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent professional experience. • 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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