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

We are looking for a QA Automation Engineer to join our growing team!
Our success has been built through intense innovation, a customer-first mentality and a team of fearless who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Requirements
Develop Testing & Automation SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests
Define, develop and execute testing plans with deep system knowledge and understanding.