We are redefining urban mobility by proving that autonomous vehicles can navigate complex environments using vision-only technology.
As our Hardware Systems Integration Engineer, you will be the lead architect responsible for the "nervous system " of our vehicles. You won't just be selecting components; you will be evaluating infrastructure that enables our AI software to see, process, and React to the world in Real-Time.
Responsibilities:
* Vision-Centric Architecture: Lead the selection and integration of high-dynamic-range (HDR) automotive-grade cameras.
* Compute Platform Selection - Evaluate and benchmark high-performance edge platforms (e.g., NVIDIA Orin, Qualcomm Snapdragon, Ambarella, or custom SOC solutions) capable of handling massive parallel video streams with minimal latency.
* Thermal & Power Integrity: Design integration of computing HW into automotive grade environment. This work can be done with external suppliers.
* system Synchronization: design and ensure sensor synchronization.
* Redundancy Planning: architect fail-operational hardware systems to ensure the vehicle remains safe even if a specific component or communication bus fails.
* Present to and consult with the group leaders as to hardware design trade-offs
Requirements: * 10+ years in Hardware / Systems Engineering, specifically within Automotive, Robotics, Defense or Aerospace ( Real-Time, mission-critical)
* Computing Knowledge: Proven ability to architect systems around Heterogeneous Computing (CPU + GPU + NPU). Understanding of memory bandwidth versus raw TFLOPS, and floating points computing.
* Thermal Strategy: Experience with active and passive cooling for high-performance computing.
* Protocol Mastery: Expert-level knowledge of Automotive Ethernet, CANbus, and high-speed Serializer / Deserializer interfaces.
This position is open to all candidates.