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Video Encoding Jobs in Santa Clara, CA (NOW HIRING)

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 ...

Senior Video Systems Engineer

San Jose, CA · Hybrid

$101K - $168K/yr

Experience with digital video systems, including video acquisition, processing, encoding/decoding, distribution pipelines, and/or camera systems, sensors, optics, illumination, and image quality ...

Senior Video Systems Engineer

San Jose, CA · On-site

$101K - $168K/yr

Experience with digital video systems, including video acquisition, processing, encoding/decoding, distribution pipelines, and/or camera systems, sensors, optics, illumination, and image quality ...

Showing results 41-60

Video Encoding information

See Santa Clara, CA salary details

$26

$33

$39

How much do video encoding jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for video encoding in Santa Clara, CA is $33.97, according to ZipRecruiter salary data. Most workers in this role earn between $31.06 and $35.87 per hour, depending on experience, location, and employer.

What are the typical challenges faced by professionals working in video encoding roles?

Professionals in video encoding often encounter challenges such as balancing video quality with file size and bandwidth limitations, keeping up with evolving codec standards, and troubleshooting playback compatibility across multiple devices. The work may require rapid turnaround times, especially when preparing content for streaming platforms or live broadcasts. Collaboration with video editors, producers, and IT teams is common to ensure seamless digital workflows. Staying adaptable and proactive about learning new tools and best practices is key to meeting the demands of this fast-paced industry.

What are the key skills and qualifications needed to thrive in video encoding?

To thrive in a Video Encoding role, you need a solid understanding of video codecs, compression techniques, and digital media formats, often supported by a degree in media production or computer science. Familiarity with industry-standard tools such as Adobe Media Encoder, FFmpeg, and cloud-based encoding platforms, as well as relevant certifications, is highly beneficial. Strong attention to detail, time management, and problem-solving skills help ensure efficient and high-quality outputs. These skills and qualities are crucial for maintaining optimal video quality, meeting delivery deadlines, and addressing technical challenges in a rapidly evolving digital media environment.

What is a video encoding job?

A Video Encoding job involves converting raw or edited video files into specific formats and resolutions for streaming, broadcasting, or storage. Professionals in this role optimize compression settings, maintain video quality, and ensure compatibility across various platforms and devices. They work with encoding software, codecs, and streaming protocols to deliver the best viewing experience. This job often requires knowledge of video formats, encoding tools, and media workflows.

What are the most commonly searched types of Video Encoding jobs in Santa Clara, CA? The most popular types of Video Encoding jobs in Santa Clara, CA are:
What are popular job titles related to Video Encoding jobs in Santa Clara, CA? For Video Encoding jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Video Encoding jobs in Santa Clara, CA look for? The top searched job categories for Video Encoding jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Video Encoding jobs? Cities near Santa Clara, CA with the most Video Encoding job openings:
Infographic showing various Video Encoding job openings in Santa Clara, CA as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $70,654 per year, or $34 per hour.

Computer Vision (Software) Engineer

Sciton

Palo Alto, CA

$170K - $190K/yr

Full-time, Part-time

Vision, Retirement

Re-posted 26 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