Role OverviewThe Camera Systems Engineer will be responsible for the end-to-end development of camera and image acquisition systems for PHOSON 1HSP.

The role involves working across image sensor selection, camera module integration, optical alignment, illumination synchronisation, image acquisition pipelines, sensor calibration and image quality optimisation.

The candidate will work closely with optical, electronics, embedded software and AI/ML teams to develop a reliable, high-performance imaging architecture suitable for field deployment.

Key Responsibilities1. Camera System Design & Integration

- Design and integrate camera systems using specialised CMOS, Hyperspectral and other industrial image sensors.
- Evaluate and select image sensors based on spectral sensitivity, quantum efficiency, resolution, dynamic range, readout noise and application requirements.
- Work with camera modules, sensor boards, lenses, filters and optical assemblies.
- Develop camera architectures using MIPI CSI-2, USB3 Vision and other relevant camera interfaces.
- Integrate industrial and embedded camera systems with ARM-based computing platforms.

2. Image Acquisition & Processing

- Develop and optimise image acquisition pipelines for RAW image capture.
- Configure sensor parameters including exposure, gain, frame rate, shutter control and pixel formats.
- Implement image processing workflows involving demosaicing, denoising, flat-field correction, dark-frame subtraction and image enhancement.
- Work on image quality optimisation, ensuring consistency across different illumination conditions.
- Develop synchronised image acquisition mechanisms for sequential multispectral illumination.

3. Optical & Sensor Calibration

- Perform camera calibration, geometric calibration and radiometric calibration.
- Develop procedures for sensor characterisation, uniformity correction and spectral response evaluation.
- Work with optical filters, narrowband illumination sources and lens assemblies.
- Validate image quality across different wavelengths and illumination configurations.




- Support the development of repeatable calibration and testing protocols.

4. Illumination & Camera Synchronisation

- Design and implement synchronisation between camera exposure and controlled LED illumination.
- Work with hardware triggers, GPIO, PWM and microcontroller-based control systems.
- Develop time-multiplexed image acquisition workflows.
- Ensure deterministic image capture across multiple illumination channels.
- Troubleshoot timing, exposure and illumination-related imaging inconsistencies.

5. Embedded Camera Integration

- Integrate camera systems with embedded computing platforms such as Qualcomm, Nvidia and similar ARM-based platforms.
- Work with Linux-based camera drivers, V4L2, GStreamer and relevant camera SDKs.
- Optimise image acquisition latency, bandwidth, memory utilisation and processing throughput.
- Collaborate with embedded engineers to integrate camera control and acquisition software.

6. Testing, Validation & Documentation

- Develop camera system testing procedures and image quality benchmarks.
- Conduct sensor performance evaluations under controlled laboratory conditions.
- Perform field testing and troubleshoot hardware and imaging failures.
- Maintain technical documentation, camera configurations, calibration records and test reports.
- Support product prototyping, design iterations and production readiness.

Required Technical Skills
- Strong understanding of CMOS image sensors and camera architecture.
- Experience with industrial cameras, embedded cameras or machine vision systems.
- Knowledge of image sensor specifications, including QE, SNR, dynamic range, read noise and spectral response.




- Experience with RAW image acquisition and image processing.
- Familiarity with MIPI CSI-2, USB3 Vision, USB3 and camera communication interfaces.
- Working knowledge of Python and/or C/C++.
- Experience with Linux-based camera integration and image acquisition.
- Understanding of optics, lenses, exposure control and image formation.
- Experience with camera calibration and image quality evaluation.
- Knowledge of hardware triggering and camera-illumination synchronisation.

Preferred Qualifications
- B.Tech / M.Tech in Optics, Photonics, Computer Vision or a related discipline.
- 4–7 years of relevant experience in camera systems, imaging hardware or optical instrumentation.
- Experience developing or integrating miniature camera systems, multispectral, hyperspectral, NIR or SWIR imaging systems is a must.
- Familiarity with Sony, Onsemi, Teledyne, FLIR, IDS or other industrial image sensor and camera ecosystems.
- Experience with FPGA-based image acquisition or high-speed imaging systems.
- Familiarity with OpenCV, GenICam, V4L2 and GStreamer.
- Experience working in a hardware product development or deep-tech R&D; workplace.

What We Expect From You
- Ability to independently evaluate, design and troubleshoot camera subsystems.
- Strong hardware debugging and experimental problem-solving capabilities.
- Ability to work across optical, electronic and software engineering disciplines.
- Ownership of technical deliverables from prototyping through validation.
- Comfort working in an early-stage deep-tech startup environment.

Why Join Phosic?
- Work on the development of an advanced portable hyperspectral imaging platform.
- Contribute to the development of proprietary imaging technology.
- Work at the intersection of optics, electronics, imaging and artificial intelligence.
- Take ownership of real-world hardware development and product commercialisation.
- Work on technology with applications across forensics, industrial inspection, defence and scientific research.

📌 Camera System Engineer (Ponda)
🏢 PHOSIC
📍 Ponda