Computer Systems Engineer Jobs in California
Computer Systems Engineer jobs in California are among the most active in the country, concentrated in defense contracting, aerospace, semiconductors, and enterprise software across a seniority range from entry-level through principal engineer. The heaviest hiring happens in the San Francisco Bay Area, Los Angeles, and San Diego, where employers like Lockheed Martin, Northrop Grumman, and Qualcomm maintain large engineering operations. Systems integration, embedded systems, and cloud infrastructure are the specialties California employers request most consistently. Find a role that fits below and apply directly.
Find JobsOverview
Open roles27
Top employerSaalex
Top cityRidgecrest, CA
Cities hiring19
Work type78% On-site
Top industryEducation
Showing 5 of 27+ Computer Systems Engineer jobs
Optics and Computer Vision (Systems) Engineer
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Added 1d ago
Sciton Inc.
Optics and Computer Vision (Systems) Engineer
Palo Alto, California
Added 1d ago
Associate Pathways Computer Systems Analyst - Secret - San Diego CA
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Added 4d ago
Northrop Grumman
Associate Pathways Computer Systems Analyst - Secret - San Diego CA
San Diego, California
Added 4d ago
Computer Systems Analyst, eCommerce
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Added 6d ago
Zones
Computer Systems Analyst, eCommerce
San Francisco, California
Added 6d ago
Associate Computer Systems Architect/Computer Systems Architect (Level 1/2)
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Added 1w ago
Northrop Grumman
Associate Computer Systems Architect/Computer Systems Architect (Level 1/2)
Manhattan Beach, California
Added 1w ago
Computer Systems Analyst Senior
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Added 1w ago
Brandes Associates, Inc.
Computer Systems Analyst Senior
Point Mugu, California
Added 1w ago
Added 1d ago
Optics and Computer Vision (Systems) Engineer
Sciton Inc.·Palo Alto, California
Job functions:
$150k - $220k/yr
Master's degree
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&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 & 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 & 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
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
Sciton Inc.
Optics and Computer Vision (Systems) Engineer
Palo Alto, California
Added 1d ago
Job functions:
$150k - $220k/yr
Master's degree
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&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 & 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 & 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
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
See All 27 Computer Systems Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find JobsComputer Systems Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Ridgecrest
4 jobsSan Diego
3 jobsNas North Island
3 jobsCamarillo
2 jobsPomona
1 jobEdwards
1 jobMonterey
1 jobLivermore
1 jobPalo Alto
1 jobPeninsula
1 jobSunnyvale
1 jobPoint Mugu
1 jobSan Carlos
1 jobSan Marcos
1 jobSanta Clara
1 jobRedondo Beach
1 jobSan Francisco
1 jobManhattan Beach
1 jobSan Francisco Bay Area
1 jobComputer Systems Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Education
- Biotechnology & Pharmaceuticals
What California Employers Look For
The qualifications that appear most often in computer systems engineer jobs across California.
- Bachelor's degree in computer engineering, electrical engineering, or computer science required
- Three or more years of experience in systems architecture, integration, or design
- Proficiency in systems modeling languages such as SysML or UML
- Experience with embedded systems, real-time operating systems, or hardware-software integration
- Familiarity with systems engineering frameworks such as INCOSE or IEEE standards
- Active or eligibility for U.S. security clearance preferred for California defense roles
Computer Systems Engineer Jobs in California: Frequently Asked Questions
How do you become a computer systems engineer in California?
A bachelor's degree in computer engineering, systems engineering, electrical engineering, or computer science is the standard entry point for computer systems engineer roles in California. California does not require a state-issued license for this role in most industry sectors, though engineers who offer services to the public may pursue licensure through the California Board for Professional Engineers. Many California employers, particularly in defense and aerospace, look for Professional Engineer designation or equivalent industry certifications alongside a strong systems design portfolio.
Which companies hire computer systems engineers in California?
Employers hiring computer systems engineers in California right now include Saalex, Northrop Grumman, and Veteran Enterprise Technology Services, based on current listings on Migrate Mate as of August 2026. California's concentration of defense primes, semiconductor firms, and enterprise technology companies means steady hiring across both commercial and government-adjacent sectors throughout the year.
Which California cities have the most computer systems engineer jobs?
Ridgecrest, San Diego, and Nas North Island have the most computer systems engineer openings in California. The Bay Area leads because of its dense concentration of semiconductor, cloud, and enterprise software companies, while Los Angeles and San Diego draw heavily from aerospace and defense contractors that require systems engineers for complex platform development programs.
Are there remote computer systems engineer jobs in California?
Yes, though availability varies by specialization. About 22% of computer systems engineer openings tied to California are remote or hybrid as of August 2026, reflecting a mix of fully distributed software-focused roles and on-site requirements for defense, lab, and hardware integration work. Systems engineers working primarily on architecture, modeling, or documentation are the most likely to find fully remote options.
How can I get hired as a computer systems engineer in California with little or no experience?
The most realistic entry path is targeting associate systems engineer or systems analyst roles at California's large defense and aerospace employers, where structured rotational programs are common. Companies like Northrop Grumman and Raytheon run new-graduate engineering programs at their California sites that pair candidates with senior engineers on active programs. Candidates who complete a CSEP foundational certification through INCOSE or build a portfolio demonstrating SysML modeling and requirements traceability stand out against others at the same degree level.
Where can I find and apply to computer systems engineer jobs in California?
You can find and apply to computer systems engineer jobs in California on Migrate Mate, which lists current California openings across defense, technology, and aerospace employers. Search the listings, find roles that fit your background and location, and apply directly to the ones that match.
See All 27 Computer Systems Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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