Optics and Computer Vision (Systems) Engineer

Sciton•Palo Alto, CA

19h•Onsite

About The Position

Optics and Computer Vision (Systems) Engineer Sciton is a Silicon Valley based pioneer in laser, light, and energy technologies for aesthetic and medical applications. Our engineers brought laser products to market just a few years after lasers were first invented, and that same spirit of innovation still drives us today. We are built on a strong set of values: Selflessness, Candor, Innovation, Execution, Objectivity, Excellence, Learning, Ownership, and Clarity. With more than 500 employees worldwide, Sciton has been recognized as a USA TODAY Top Workplace for four consecutive years from 2022 to 2025. If you want to work on meaningful technology that directly improves patient lives and be part of a company that values curiosity, ownership, and excellence, we would love to meet you. Position Summary As an Optics and Computer Vision (Systems) Engineer, you’ll play a key role in advancing Sciton’s next generation of medical and aesthetic products. You’ll be embedded within both the R&D and software teams, helping to bring new vision-based technologies from concept to production. Your primary focus will be developing imaging and computer vision systems that analyze skin lesions for subsequent control of peripheral devices and actuators. These systems directly support cutting-edge treatments used by clinicians and benefit patients worldwide. You’ll collaborate closely with software, hardware, and clinical teams to guide projects through Sciton’s New Product Introduction (NPI) process—turning innovative ideas into real-world products.

Requirements

Strong experience delivering high-quality optical images for users and sub-systems
Hands-on, systems-oriented experience creating and refining algorithms for medical skin imaging and treatment control, including: Image registration, segmentation, feature extraction, object/defect detection, coordinate transformation and stereo depth determination, Multi-sensor and multi-camera image fusion, Real-time guidance of peripheral treatment devices with low latency, Visual servoing & motion compensation
Strong programming skills in C/C++ and Python, with solid object-oriented design experience
Knowledge of camera pipelines, 2D/3D vision algorithms, sensors, displays, and illumination systems
Strong understanding of image, video, illumination and visual servoing quality metrics and how to apply them for performance verifications
Experience with embedded Linux and platforms such as ARM / NXP i.MX, plus tools like Gstreamer, PyTorch, TensorFlow, OpenCV, Zemax and other toolkits
Master's or PhD in Optical Physics, Computer Science, Biomedical Engineering, or a related field
Minimum of 4 years of relevant industry experience
Strong theoretical and practical background in optical imaging, computer vision, image/video processing, actuator controls for low latency and related performance verification metrics
Experience working with real-time systems, control loops, and camera communication protocols (USB, MIPI, etc.)
Proven ability to take projects from concept through execution and delivery
A collaborative mindset and strong problem-solving skills

Nice To Haves

GPU/CUDA acceleration
FPGA, NPU, or hardware-accelerated vision pipelines
Memory-mapped I/O, DMA, and real-time performance optimization
Vision pipeline latency reduction and throughput optimization on edge devices
Experience in 3D imaging
Experience in biological imaging, quantitative contrast analysis and tissue perfusion assessment
Experience in denoising, deblurring, color processing, pixel‑level correction, lens shading and distortion correction, quantitative image‑quality assessment (MTF, SNR, contrast).
MIPI CSI camera integration, ISP tuning, and sensor control (I2C, SPI)
H.264/H.265 video encoding for live video streams
Thermal management, power optimization, and EMC considerations
ROS/ROS2 experience (if vision interacts with robotic systems)

Responsibilities

Develop in a mixed hardware and software environment optical systems and real-time computer vision algorithms for medical skin imaging and skin treatment actuator control
Select camera and illumination hardware resulting in high image/video quality and consistent skin lesion assessment under varying light conditions
Develop robust algorithms for: Multi-sensor and multi-camera image fusion, Image registration, segmentation and feature extraction, Detection and quantitative assessment of visual events, Object motion compensation, Optimized visual servoing
Integrate vision processing to control peripheral devices and actuators, optimized for low latency and high reliability
Spearhead optical calibration, illumination design, image quality analysis, and system-level troubleshooting along the various technology pipelines
Resolve image distortion errors and alignment failures by systematically analyzing interactions across imaging pipeline subsystems.
Devise end-to-end calibration workflows, including target selection, data acquisition procedures, automated calibration execution and output of quantitative calibration quality metrics
Evaluate and adapt existing visual servoing and vision algorithms for clinical use
Work with external technology partners and vendors to select and refine imaging solutions
Contribute to patent filings and support regulatory documentation, including risk analysis and system validation
Support the development of ML and AI powered technologies beneficial to users