Imagry | Autonomous Driving

Imagry makes it possible for vehicles and buses to drive themselves using vision-first AI, without HD maps or expensive sensors. The company delivers a hardware-agnostic, B2B SaaS autonomy stack…

AIAutonomous DrivingDeep LearningHardware-AgnosticMaplessMotion PlanningPerceptionScalableimagry.co

Imagry | Autonomous Driving

Imagry makes it possible for vehicles and buses to drive themselves using vision-first AI, without HD maps or expensive sensors. The company delivers a hardware-agnostic, B2B SaaS autonomy stack…

AIAutonomous DrivingDeep LearningHardware-AgnosticMaplessMotion PlanningPerceptionScalableimagry.co

HQSan Jose, US

Team Size123

Open Jobs9

Total Funding$59M

Latest Fundraiselast year

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Hardware System Engineer

On-SiteHaifa, Haifa District

On-Site • Haifa, Haifa District

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Hardware Systems Integrator Engineer

At Imagry, 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:

Experience: 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.