1

Image Analysis Jobs in California (NOW HIRING)

As an Image Processing Engineer, you will help to take raw data off our camera sensors, and clean ... In this role you will help to analyze raw sensor data, identify issues, and propose algorithms to ...

$62K - $63K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Oversee and actively contribute to-image analysis pipelines for high content and optical CRISPR screens, extracting biologically meaningful morphological features to support target prioritization.

Scientist I

South San Francisco, CA · On-site

$40/hr

  • Medical

  • Dental

  • Vision

  • Life

We provide end-to-end workflows in close collaboration with the Digital Pathology Image Analysis team. The Role We are seeking a highly motivated and independent Scientist to join our Spatial Omics ...

Showing results 41-60

Image Analysis information

See California salary details

$14

$27

$41

How much do image analysis jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for image analysis in California is $27.57, according to ZipRecruiter salary data. Most workers in this role earn between $23.70 and $29.42 per hour, depending on experience, location, and employer.

What is an image analysis?

An Image Analysis job involves processing and interpreting visual data from images using software, algorithms, and machine learning techniques. Professionals in this field work with industries like healthcare, security, agriculture, and automation to extract meaningful insights from images. Tasks may include object detection, pattern recognition, and quality inspection. Strong skills in computer vision, programming (Python, MATLAB), and data analysis are essential for this role.

What types of projects or industries can image analysis professionals expect to work in?

Image Analysis professionals work on a variety of projects across industries such as healthcare, remote sensing, autonomous vehicles, manufacturing, and security. Typical responsibilities may include processing medical images for diagnostics, developing computer vision algorithms for automation, or analyzing satellite imagery for environmental monitoring. Collaboration with domain experts—like doctors, engineers, or data scientists—is common, as solutions often require interdisciplinary knowledge. Many roles offer structured career development, with opportunities to advance into senior analyst, technical lead, or specialized research positions.

What does an image analysis do?

An image analysis professional examines visual data to identify, interpret, and extract information from images using tools like computer vision and machine learning algorithms. They often work with software such as MATLAB or Python and may require knowledge of data labeling, pattern recognition, and image processing techniques. Their work supports applications in fields like healthcare, security, and manufacturing.

What are the key skills and qualifications needed to thrive in the image analysis position, and why are they important?

To thrive in Image Analysis, you need a strong background in mathematics, computer vision, and data science, often supported by a relevant degree such as computer science, engineering, or a related field. Proficiency with image processing tools and programming languages like Python, MATLAB, OpenCV, and familiarity with machine learning frameworks are commonly required. Attention to detail, analytical thinking, and effective communication are essential soft skills for interpreting results and collaborating with multidisciplinary teams. These competencies are critical for accurately analyzing visual data and delivering actionable insights in diverse settings like healthcare, research, and industry.

What are the most commonly searched types of Image Analysis jobs in California?

The most popular types of Image Analysis jobs in California are:

What cities in California are hiring for Image Analysis jobs?

Cities in California with the most Image Analysis job openings:

Infographic showing various Image Analysis job openings in California as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $57,346 per year, or $27.6 per hour.

Senior Embedded Software Engineer - Contract

Cytovale, Inc

South San Francisco, CA • On-site, Remote

$148K - $195K/yr

Temporary

Re-posted 3 days ago


Job description

Senior Embedded Software Engineer - Contract
Cytovale | Software & Data Systems
Department: Software & Data Systems
Reports To: Senior Engineering Manager, Software & Data
About Cytovale
Cytovale is a medical diagnostics company whose FDA-cleared IntelliSep® test enables rapid sepsis risk assessment in the emergency department. Our instrument combines microfluidic sample preparation, high-speed imaging, real-time image analysis, and advanced software to deliver clinically actionable results in minutes. We develop and maintain this technology under a regulated quality system compliant with FDA design controls, IEC 62304, ISO 13485, and modern cybersecurity expectations.
The Role
We are seeking a hands-on Senior Embedded Software Engineer to work on a contractual basis, contributing across the IntelliSep software platform, including the Sample Preparation Module (SPM), Cell Imaging Module (CIM), and Image Analysis Module (IAM). You will go beyond traditional embedded development by supporting Linux-based embedded platforms, software architecture, OS upgrades, and development infrastructure.
What You'll Do
  • Design, implement, and maintain embedded software in modern C++ across IntelliSep instrument platforms and Linux-based systems.
  • Support platform modernization efforts, including embedded OS upgrades, toolchain updates, and software infrastructure improvements.
  • Develop Python-based tools, build systems, and CI/CD pipelines to support verification and validation (V&V), manufacturing, service, and data workflows.
  • Troubleshoot complex issues spanning software, firmware, operating systems, networking, and instrument hardware.
  • Design and maintain interfaces between instrument subsystems, including imaging, motion control, sensing, and software services.
  • Author and maintain software requirements, architecture/design specifications, and quality system lifecycle artifacts.
  • Contribute to software V&V, cybersecurity maintenance, vulnerability remediation, risk management, and secure product development activities.
  • Distribute engineering knowledge through documentation, architecture reviews, and mentorship.

Required Qualifications
  • BS or MS in Computer Engineering, Electrical Engineering, Computer Science, or equivalent industry experience.
  • 8+ years of experience developing embedded software for complex electromechanical systems.
  • Expert-level C++ programming on Linux-based systems, with strong multi-threading and performance-optimization experience.
  • Experience integrating and debugging complex instrumentation (motion control, imaging, sensors, networking) using equipment like oscilloscopes and logic analyzers.
  • Strong Python programming skills.
  • Experience developing and maintaining CI/CD infrastructure, cross-compilation environments, and automated verification workflows.
  • Experience authoring software requirements, architecture documents, and design specifications.
  • Demonstrated ability to independently troubleshoot cross-disciplinary issues with excellent written and verbal communication skills.

Preferred Qualifications
  • Experience developing medical device software under FDA design controls, IEC 62304, ISO 13485, and risk management frameworks.
  • Hands-on embedded Linux experience, including OS interfaces, deployment, debugging, and lifecycle maintenance.
  • Experience with Docker, containerized build environments, and infrastructure automation.
  • Experience with distributed embedded systems architecture, configuration management, and regulated development processes.
  • Experience supporting cybersecurity deliverables (SBOM generation, vulnerability management, penetration testing remediation).
  • Experience with image acquisition, computer vision, image processing, or scientific instrumentation.