Hardware Systems Integrator Engineer at Imagry

Haifa, Haifa District, Israel -

Full Time

Start Date

Immediate

Expiry Date

23 May, 26

Salary

0.0

Posted On

22 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Hardware Systems Integration, Vision-Centric Architecture, HDR Cameras, Edge Platforms, NVIDIA Orin, Qualcomm Snapdragon, Ambarella, SoC Solutions, Thermal Integrity, Power Integrity, System Synchronization, Redundancy Planning, Heterogeneous Computing, Automotive Ethernet, CANbus, Serializer/Deserializer Interfaces

Industry

Software Development

Description

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 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.

Responsibilities

The engineer will act as the lead architect for the vehicle's 'nervous system,' focusing on selecting and integrating infrastructure that enables real-time vision processing. Key duties include leading the selection of HDR cameras, evaluating high-performance edge compute platforms, designing thermal and power integration, ensuring sensor synchronization, and architecting fail-operational redundancy systems.