SCITON · 23 hours ago
Computer Vision (Software) Engineer
Palo Alto, CA
Full-time
Onsite
Mid Level
$170K/yr - $190K/yr
3+ years expSciton is a Silicon Valley based pioneer in laser, light, and energy technologies for aesthetic and medical applications. As a Computer Vision (Software) Engineer, you'll develop and deploy computer vision systems that analyze skin areas for control of peripheral devices, collaborating closely with various teams to guide projects from concept to production.
Health CareLaserMachinery ManufacturingManufacturingMedicalMedical Device
Responsibilities
Design, prototype, and deploy real-time computer vision algorithms for medical skin imaging and skin treatment guidance
Develop robust algorithms for:
Image registration and segmentation
Feature extraction
Object motion compensation
Multi-camera image fusion
Integrate embedded vision processing to control peripheral devices, optimizing for low latency and high reliability
Collaborate on optical calibration, illumination design, image quality analysis, and system troubleshooting
Evaluate and adapt existing medical imaging 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
Stay current with advances in computer vision, medical imaging, and AI-driven techniques
Qualification
Required
Hands-on experience creating and refining algorithms for medical skin imaging and treatment control, including: Image registration and segmentation, Feature extraction, Motion compensation, Multi-camera image combination, Real-time guidance of peripheral treatment devices with low latency
Strong programming skills in C/C++ and Python, with solid object-oriented design experience
Knowledge of camera sensors, displays, and illumination systems
Experience with embedded Linux and platforms such as ARM / NXP i.MX, plus tools like GStreamer and OpenCV
Understanding of image, video, and illumination quality metrics and how to apply them
Master's or PhD in Computer Science, Computer Vision, Electrical Engineering, Physics, Optical or Biomedical Engineering, or a related field
Minimum of 3 years of relevant industry experience
Strong theoretical and practical background in computer vision and image/video processing
Experience working with real-time systems, control loops, and camera communication protocols (USB, MIPI, etc.)
Solid understanding of optical imaging physics, calibration, and verification techniques
Proven ability to take projects from concept through execution and delivery
A collaborative mindset and strong problem-solving skills
Preferred
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
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)
Familiarity with emerging AI-based vision approaches
Benefits
Equity/stock incentive programs
Profit-sharing bonus
Comprehensive benefits package
401(K) with matching
Company
SCITON
Sciton designs and manufactures advanced lasers and light sources for aesthetic medical purposes.
501-1000 employees
H1B Sponsorship
SCITON has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (2)
2023 (2)
2022 (2)
2020 (3)
Funding
Current Stage
Late StageLeadership Team
Aaron Burton
CEO
Jim Hobart
CEO
Recent News
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