System Integration Engineer (Autonomous Vehicles)

TL;DR

System Integration Engineer (Autonomous Vehicles): Leading the integration of hardware and software across internal and partner vehicles with an accent on system bring-up and multidisciplinary troubleshooting. Focus on architecting new hardware systems, evaluating embedded architectures, and maintaining HIL systems to enable autonomous driving capabilities.

Location: Hybrid (London, United Kingdom)

Company

hirify.global is a leading developer of Embodied AI technology creating mapless and hardware-agnostic AI products for the automotive industry.

What you will do

• Integrate and bring up autonomous systems on internal and partner vehicles.
• Architect, prototype, and evaluate new hardware systems.
• Support fleet troubleshooting and resolve complex multidisciplinary issues from prototype through deployment.
• Inform and improve system integration processes and workflows.
• Bring up and maintain development benches and Hardware-in-the-Loop (HIL) systems.

Requirements

• 7+ years of experience integrating and developing complex systems.
• Ability to understand and modify harness diagrams to meet design requirements.
• Experience defining and iterating through HW architecture of an embedded or robotics system.
• Experience working with supply chains, engineering change control, and contract manufacturers.
• Proficiency in C++, Python, Rust, Linux, and Git.
• Must be able to work from the London office under a hybrid policy.

Nice to have

• Understanding of x86 vs ARM compute architectures in the automotive market.
• Experience working on autonomous vehicles, robotics, or similar advanced systems.
• Skill in prototyping electronics at PCB board level and designing wire harnesses.
• Experience developing application-level software for testing, flashing, and triaging.
• Bachelor's degree in Electrical Engineering, Mechanical Engineering, or equivalent.

Culture & Benefits

• Hybrid working policy combining office collaboration with work-from-home flexibility.
• Core working hours allowing for a flexible personal schedule.
• Inclusive and diverse work environment that values new perspectives.
• Fast-paced environment focused on solving complex challenges in Embodied AI.