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Computer Systems Jobs in California (NOW HIRING)

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Computer Systems information

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$35K

$71.3K

$115.5K

How much do computer systems jobs pay per year?

As of Aug 14, 2026, the average yearly pay for computer systems in California is $71,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,800.00 and $92,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a computer systems analyst, and why are they important?

To thrive as a Computer Systems Analyst, you need strong analytical skills, a solid understanding of information systems, and usually a bachelor’s degree in computer science or a related field. Familiarity with systems analysis tools, database management systems, and software like SQL and enterprise resource planning (ERP) platforms is typically required. Excellent problem-solving, communication, and project management abilities help analysts gather requirements and translate business needs into technical solutions. These skills and qualifications ensure that organizations can optimize their IT infrastructure and align technology with strategic goals.

What are computer systems engineering jobs?

Computer systems engineering jobs involve designing, developing, and maintaining computer hardware and software systems. These roles often require knowledge of programming, networking, and system architecture, and may involve tasks such as system integration, troubleshooting, and performance optimization.

What are some common challenges faced by professionals working in computer systems roles, and how can they be addressed?

Professionals in computer systems roles often encounter challenges such as troubleshooting complex system issues, managing system upgrades with minimal downtime, and ensuring security compliance. Staying current with rapidly evolving technologies and balancing multiple priorities can also be demanding. These challenges can be addressed through continuous learning, effective time management, and strong collaboration with cross-functional teams like network, security, and support staff. Open communication and proactive problem-solving are key to maintaining efficient and secure computer systems.

What is a computer system?

Computer systems are integrated assemblies of hardware, software, and peripheral devices designed to perform a wide range of computing tasks. They include components like processors, memory, storage, and input/output devices, all working together to process, store, and retrieve data. Computer systems can range from personal computers and laptops to large servers and data centers. Their primary purpose is to execute instructions and support various applications in business, education, science, and personal use.

Is computer systems a good career?

A career in computer systems involves managing and supporting computer hardware, software, and networks, often requiring technical skills and certifications. It offers strong job growth, competitive salaries, and opportunities in various industries, with roles such as systems administrator, network engineer, and cybersecurity specialist. Continuous learning and adapting to new technologies are important for success in this field.

What careers can you get with a computer systems degree?

A computer systems degree prepares individuals for careers such as systems analyst, network administrator, cybersecurity specialist, IT support specialist, and systems engineer. These roles typically require knowledge of hardware, software, networks, and security protocols, and may involve certifications like CompTIA or Cisco. Job responsibilities often include managing IT infrastructure, troubleshooting technical issues, and implementing security measures.

What is the difference between Computer Systems vs Network Administrator?

AspectComputer SystemsNetwork Administrator
CertificationsCompTIA A+, Cisco CCNA, Microsoft certificationsCompTIA Network+, Cisco CCNA, Microsoft certifications
Work EnvironmentWork on hardware, operating systems, and software setupManage and maintain network infrastructure and connectivity
Industry UsageUsed across IT, tech support, and systems managementPrimarily in organizations with complex networks and IT infrastructure

Computer Systems professionals focus on hardware, operating systems, and software configuration, while Network Administrators specialize in managing network infrastructure and connectivity. Both roles require similar certifications and often work in overlapping environments, but their core responsibilities differ in scope and focus.

What cities in California are hiring for Computer Systems jobs?

Cities in California with the most Computer Systems job openings:

Infographic showing various Computer Systems job openings in California as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 10% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $71,259 per year, or $34.3 per hour.

Optics and Computer Vision (Systems) Engineer

Sciton

Palo Alto, CA

$150K - $220K/yr

Full-time

Retirement

Posted 2 days ago

New


Job description

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 amp;amp;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.

What You’ll Work On
  • 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
What We’re Looking For
  • 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 amp;amp; 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
Core Qualifications
  • 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
  • Preferred Skills amp;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
  • 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)
Compensation and Benefits
The salary range for this position is $150k - $220k. 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 Optics and Computer Vision (Systems) Engineer
LOCATION Palo Alto, HQ