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Computer Engineering Jobs in California (NOW HIRING)

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

... Engineering, Electrical Engineering, or related field 3+ years of computer vision experience in real-time, product-focused environments Strong Python skills with OpenCV or similar libraries Solid ...

Computer Vision Engineer

San Diego, CA · On-site

$125K - $130K/yr

Bachelor's or Master's in Computer Science, Computer Engineering, Electrical Engineering, or related field * 3+ years of computer vision experience in real-time, product-focused environments * Strong ...

Computer Vision Engineer

San Diego, CA · On-site

$125K - $130K/yr

Bachelor's or Master's in Computer Science, Computer Engineering, Electrical Engineering, or related field * 3+ years of computer vision experience in real-time, product-focused environments * Strong ...

Computer Vision Engineer

San Diego, CA · On-site

$148K - $222K/yr

Leverage advanced video and computer vision engineering expertise to research, design, and implement critical video processing and computer vision algorithms, including video encoder, decoder ...

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

Engineering Group, Engineering Group > Video Systems, HW Architecture General Summary: Qualcomm's Computer Vision Systems team is building the intelligence behind the world's most advanced Snapdragon ...

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

Engineering Group, Engineering Group > Video Systems, HW ArchitectureGeneral Summary:Qualcomm's Computer Vision Systems team is building the intelligence behind the world's most advanced Snapdragon ...

Showing results 41-60

Computer Engineering information

See California salary details

$47.9K

$119.9K

$135.7K

How much do computer engineering jobs pay per year?

As of Sep 10, 2026, the average yearly pay for computer engineering in California is $119,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $129,800.00 per year, depending on experience, location, and employer.

What is computer engineering?

Computer engineering is a field that combines principles of electrical engineering and computer science to design, develop, and maintain computer systems and hardware. Computer engineers work on both the hardware (such as processors, circuit boards, and memory devices) and the software that runs on these systems. Their work enables the creation of everything from smartphones and laptops to complex embedded systems in cars and medical devices. Computer engineering can also involve research, innovation, and improving the efficiency and performance of computers and related technologies.

What are the key skills and qualifications needed to thrive as a computer engineer?

To thrive as a Computer Engineer, you need strong analytical skills, proficiency in computer architecture, hardware and software design, and at least a bachelor's degree in computer engineering or a related field. Familiarity with programming languages (such as C/C++ or Python), hardware description languages (like VHDL or Verilog), and tools like MATLAB or CAD software is common, and certifications like Cisco or CompTIA can be beneficial. Problem-solving abilities, teamwork, and effective communication are vital soft skills for collaborating on complex projects and troubleshooting technical issues. These skills and qualifications are essential for designing innovative computing solutions, ensuring reliable system performance, and succeeding in multidisciplinary engineering environments.

How do computer engineers typically collaborate with other departments in a tech company?

Computer engineers often work closely with software developers, hardware designers, and product managers to bring complex systems to life. Collaboration usually involves regular meetings to align on project goals, troubleshooting cross-disciplinary issues, and integrating hardware and software components. Effective communication and teamwork are essential, as computer engineers must translate technical requirements and constraints between teams to ensure a smooth development process. This collaborative environment helps broaden your skill set and exposes you to various aspects of product development.

What is the difference between Computer Engineering vs Computer Science?

AspectComputer EngineeringComputer Science
Required CredentialsBachelor's in Computer Engineering or related fieldBachelor's in Computer Science or related field
Work EnvironmentHardware and software development, embedded systems, device designSoftware development, algorithms, data structures, theoretical computing
Employer & Industry UsageTech companies, hardware firms, embedded systems companiesSoftware firms, research institutions, tech startups
Common Search & ComparisonYesYes

Computer Engineering focuses on designing and developing hardware and embedded systems, combining electrical engineering and computer science principles. Computer Science emphasizes software development, algorithms, and theoretical aspects of computing. While both fields overlap, Computer Engineering leans more toward hardware integration, whereas Computer Science centers on software and programming.

What do I do with a computer engineering degree?

A computer engineering degree prepares individuals for roles such as hardware engineer, software developer, systems analyst, or network administrator. Graduates often work in technology companies, design embedded systems, develop software, or manage computer networks, utilizing skills in programming, circuit design, and systems integration.

What is the job of a computer engineer?

A computer engineer designs, develops, and tests computer hardware and software systems. They work with programming languages, circuit design, and system integration to create efficient computing solutions, often collaborating with software developers and IT professionals.

What are the most commonly searched types of Computer Engineering jobs in California?

The most popular types of Computer Engineering jobs in California are:

What cities in California are hiring for Computer Engineering jobs?

Cities in California with the most Computer Engineering job openings:

Infographic showing various Computer Engineering job openings in California as of September 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,924 per year, or $57.7 per hour.

Computer Vision Engineer

San Diego, CA • On-site

$118K - $139K/yr

Other

Posted 9 days ago


Job description

Join a fast-moving team building real-time vision systems that power advanced tracking and simulation technology. In this role, you will design and implement computer vision solutions that track objects and motion using high-speed, multi-camera data in a hardware-integrated environment.

What You’ll Do

Develop real-time algorithms for object detection, tracking, pose estimation, and motion analysis

Process high-frame-rate, multi-camera data to generate accurate 3D trajectories and impact insights

Collaborate with hardware, firmware, and simulation teams to integrate vision pipelines into embedded and desktop systems

Optimize performance using multithreading, SIMD, and GPU acceleration

Apply camera calibration, stereo vision, and sensor fusion for precise spatial modeling

Prototype new concepts, evaluate sensors, and support field testing

Write clean, testable code with unit and integration testing

Document algorithms, workflows, and data pipelines

Support ML workflows including dataset versioning, experiment tracking, and deployment (Azure ML)

Required Qualifications

Bachelor’s or Master’s in Computer Science, Computer Engineering, Electrical Engineering, or related field

3+ years of computer vision experience in real-time, product-focused environments

Strong Python skills with OpenCV or similar libraries

Solid understanding of camera geometry, calibration, and lens distortion correction

Experience with multi-camera systems, stereo vision, or 3D reconstruction

Knowledge of tracking techniques (optical flow, Kalman filters, background subtraction, deep learning)

Experience with real-time optimization, parallel processing, or embedded CV deployment

Preferred Qualifications

C++, PyTorch, or TensorFlow experience

GPU programming (CUDA/OpenGL)

Embedded systems or real-time video pipelines

MATLAB or ROS exposure

Docker and containerized ML workflows

Azure ML DevOps pipelines for automated training and deployment

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