Embedded Hardware Engineer

Role & responsibilities

Job Title: Embedded Systems / Vision Hardware Design Engineer (Vision-Based Systems)

• Design and integrate communication buses including

  RS-232, RS-422, RS-485, CAN, SPI, I2C, UART, and Ethernet

  for sensor and actuator interfaces.
• Implement

  real-time communication protocols

  for data acquisition, system control, and diagnostic feedback.
• Work with

  industrial protocols

  (Modbus, CANopen, EtherCAT) for multi-sensor synchronization and control systems.

Testing & Validation

• Conduct

  camera performance validation (MTF, SNR, dynamic range, latency)

  .
• Perform

  EMI/EMC, environmental, and stress testing

  to ensure robust operation.
• Maintain detailed

  hardware documentation, schematics, and test reports

  .

Skills & CompetenciesTechnical Expertise

• Strong foundation in

  embedded electronics, FPGA design, and hardware integration

  .
• Hands-on experience with

  camera sensors, optics, lighting, and imaging system design

  .
• Proficiency in

  hardware design tools

  (Altium Designer, OrCAD, KiCad) and

  simulation tools

  (LTspice, MATLAB, Ansys).
• Experience with

  firmware and low-level driver development (C/C++, Python, VHDL/Verilog)

  .
• Familiarity with

  real-time operating systems (RTOS), Linux kernel, and device tree configuration

  .

Preferred Experience

• Prior work on

  machine vision cameras, robotic vision, or edge AI systems

  .
• Familiarity with

  ISP pipelines, image calibration, and real-time vision algorithms

  .
• Experience with

  3D imaging, depth cameras, LiDAR, or SLAM-based systems

  .
• Exposure to

  industrial standards

  (USB3 Vision, GenICam, GigE Vision, CoaXPress).

Preferred candidate profile

• Bachelor’s or Master’s degree in

  Electronics, Electrical, Computer Engineering, or Mechatronics

  .
• 3–7 years of experience in

  embedded hardware and vision system design

  .
• Demonstrated ability to take

  concept to production

  in embedded vision or imaging projects.

Technology Stack

• Compute Platforms:

  NVIDIA Jetson Orin, Xilinx Zynq Ultrascale+, Intel Movidius Myriad X, Qualcomm QRB5165

• Sensors:

  Sony IMX series, OnSemi AR series, FLIR thermal, Basler & Teledyne cameras

• Interfaces:

  MIPI CSI-2, PCIe Gen4, USB3 Vision, GigE Vision, CoaXPress

• Software Tools:

  Altium Designer, KiCad, Vivado, SolidWorks, MATLAB, OpenCV, ROS2

• AI & Edge Frameworks:

  TensorRT, CUDA, OpenVX, DeepStream SDK