Job Description

Immediate hiring for Navi Mumbai - ghansoli location

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

We're looking for an innovative

Vision Hardware Design Engineer

who specializes in

embedded vision systems

, combining expertise in imaging sensors, optics, and embedded compute design.

You'll collaborate closely with cross-functional teams -- optics, AI/ML, firmware, and mechanical -- to deliver

end-to-end embedded vision platforms

optimized for performance, reliability, and scalability.

Key Responsibilities

Imaging & Optics

Specify and evaluate

camera modules

(global/rolling shutter, HDR, line-scan, ToF, stereo, hyperspectral).

Design and optimize

optical assemblies

including lenses, filters, and apertures for diverse lighting and environmental conditions.

Integrate

structured light, laser illumination, IR/NIR/VIR, and LED systems

for 2D/3D vision applications.

Embedded System Design

Architect and develop

embedded vision platforms

using

SoCs, FPGAs, GPUs, and custom hardware accelerators

.

Implement high-speed interfaces:

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

.

Design

custom PCBs

and interface boards to connect image sensors with compute platforms.

Optimize

signal integrity, timing, power management, and thermal performance

.

Signal Communication & Interfaces

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 & Competencies

Technical 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).

Qualifications

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
Regards

Kshama

+91 9833964181

kshama.raj@blueocean.systems

Job Types: Full-time, Permanent