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Job Title: Embedded Systems / Vision Hardware Design Engineer (Vision-Based Systems) Were looking for an innovative Vision Hardware Design Engineer who specializes in embedded vision systems, combining expertise in imaging sensors, optics, and embedded compute design. Youll 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 - Robust 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 - Bachelors or Masters degree in Electronics, Electrical, Computer Engineering, or Mechatronics. - 37 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 Work Location: In person .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.