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Part Time Gpu Engineer Jobs (NOW HIRING)

AST SpaceMobile

AI Lab Manager

Midland, TX

Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by ... You will hire, train, schedule, and supervise a part-time labeling workforce on AST's in-house ...

AST SpaceMobile

AI Lab Manager

Midland, TX · On-site

Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by ... You will hire, train, schedule, and supervise a part-time labeling workforce on AST's in-house ...

Booz Allen Hamilton, Inc.

AI and ML Engineer

Mclean, VA · On-site

$77K - $176K/yr

Experience performing distributed training across large GPU clusters * Experience with LangChain ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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As of Jun 7, 2026, the average yearly pay for part time gpu engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.
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Part Time Gpu Engineer jobs near you
Computer Vision (Software) Engineer

Computer Vision (Software) Engineer

Sciton

Palo Alto, CA

$170K - $190K/yr

Full-time, Part-time

Vision, Retirement

Posted 25 days ago

Job description

Computer Vision (Software) Engineer

Sciton is a Silicon Valley based pioneer in laser, light, and energy technologies for aesthetic and medical applications. Our engineers helped bring 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 three consecutive years from 2022 to 2024.
If you want to work on meaningful technology that directly improves patient outcomes and be part of a company that values curiosity, ownership, and excellence, we would love to meet you.
Position Summary
As a Computer Vision (Software) 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 amp;D and software teams, helping to bring new vision-based technologies from concept to production.
Your primary focus will be developing and deploying computer vision systems that analyze skin areas for subsequent control of peripheral devices. These systems directly support cutting-edge treatments used by clinicians and experienced by 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.
What You’ll Work On
  • 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
What We’re Looking For
  • 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
Core Qualifications
  • 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 Skills amp; Experience
  • 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
Compensation and Benefits
The salary range for this position is $170k - $190k. In addition to a competitive market-based salary, Sciton provides an opportunity to participate in equity/stock incentive programs, a profit-sharing bonus, and a comprehensive benefits package, including 401(K) with matching
FULL-TIME/PART-TIME Full-Time
POSITION Computer Vision (Software) Engineer
LOCATION Palo Alto, HQ

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