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Electrical And Computer Engineer Jobs in Berkeley, CA

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

  • Medical

  • Retirement

  • PTO

What you'll bring Required * BS or MS in Computer Science, Electrical Engineering, Robotics, or a related field. * 1-3 years of experience (including internships or research) in software engineering ...

Electrical Engineer

San Francisco, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Electrical CAD * Revit * SKM Power Tools * AGI32 * MicroStation * Cable and conduit sizing ... and engineering to program and construction management. AECOM is a Fortune 500 firm that had ...

Electrical Engineer

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Electrical CAD * Revit * SKM Power Tools * AGI32 * MicroStation * Cable and conduit sizing ... and engineering to program and construction management. AECOM is a Fortune 500 firm that had ...

Solve electrical engineering problems at the component through system level. Conduct testing ... Excellent computer skills including operating Windows based personal computers. Ability to ...

Solve electrical engineering problems at the component through system level. Conduct testing ... Excellent computer skills including operating Windows based personal computers. Ability to ...

Electrical Engineer

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Electrical CAD * Revit * SKM Power Tools * AGI32 * MicroStation * Cable and conduit sizing ... and engineering to program and construction management. AECOM is a Fortune 500 firm that had ...

Electrical Engineer

Union City, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Solve electrical engineering problems at the component through system level. Conduct testing ... Excellent computer skills including operating Windows based personal computers. Ability to ...

This role requires a minimum of: * BS degree in Electronics Engineering or Electrical & Computer Engineering or Electrical Engineering with 5+ year"s hands on experience required. * Proficient in ...

Electrical Engineer

Berkeley, CA · On-site

$75.18/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field with 5+ years of relevant experience (battery or energy storage systems experience is a plus); OR Master's degree ...

Test Equipment Design Engineer, Electrical

Berkeley, CA

$75.18/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

To be considered for this role you will have a BS or MS in Electrical Engineering, Computer Engineering, Systems Engineering or related field. 3+ years of experience in electrical design and/or test ...

Showing results 21-40

Electrical And Computer Engineer information

See Berkeley, CA salary details

$61.8K

$136K

$205.7K

How much do electrical and computer engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for electrical and computer engineer in Berkeley, CA is $136,024.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $161,600.00 per year, depending on experience, location, and employer.

How do electrical and computer engineers typically collaborate with other departments on large projects?

Electrical and Computer Engineers often work closely with multidisciplinary teams, including software developers, mechanical engineers, and project managers. Collaboration usually involves participating in design meetings, integrating hardware with software components, and troubleshooting system-level issues. Effective communication and documentation skills are essential to ensure seamless coordination and to meet project milestones. This teamwork-oriented environment not only enhances project outcomes but also provides valuable learning opportunities for career growth.

What is the difference between Electrical And Computer Engineer vs Electrical Engineer?

AspectElectrical And Computer EngineerElectrical Engineer
CredentialsBachelor's in Electrical Engineering or Computer Engineering; optional certifications like PE or CiscoBachelor's in Electrical Engineering; similar certifications
Work EnvironmentDesigning embedded systems, computer hardware, software integrationPower systems, circuit design, electrical equipment
Industry UsageTechnology, computing, telecommunications, embedded systemsPower generation, manufacturing, utilities, electronics

Electrical And Computer Engineers focus on integrating electrical systems with computing and software, often working on embedded systems and hardware-software interfaces. Electrical Engineers primarily work on power systems, circuitry, and electrical equipment. Both roles require similar credentials but differ in their core focus and industry applications.

What is an electrical and computer engineer?

Electrical and computer engineers are professionals who design, develop, test, and maintain electrical systems, devices, and computer hardware and software. They work on a wide range of technologies, from power generation and transmission to embedded systems, robotics, communications, and computing platforms. Their expertise spans both the hardware (electrical circuits, devices) and the software (algorithms, programming) that drive modern technology. Electrical and computer engineers are essential in industries like telecommunications, energy, aerospace, and consumer electronics.

What can you do with electrical and computer engineering?

Electrical and computer engineers design, develop, and test electrical systems, electronic devices, and computer hardware and software. They work in areas such as telecommunications, robotics, embedded systems, power generation, and automation, often using tools like circuit design software and programming languages. These roles typically require strong technical skills and knowledge of industry standards and certifications.

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

To thrive as an Electrical and Computer Engineer, you need a solid background in circuit design, embedded systems, programming, and a relevant engineering degree such as a BS or MS in Electrical or Computer Engineering. Familiarity with tools like MATLAB, CAD software (e.g., Altium Designer, AutoCAD), and programming languages such as C/C++ or Python, as well as certifications like FE or PE, are often required. Critical thinking, problem-solving, teamwork, and effective communication help engineers excel in collaborative and innovative environments. These skills and qualifications are essential for developing reliable, cutting-edge technology solutions and ensuring project success in a competitive industry.

What cities near Berkeley, CA are hiring for Electrical And Computer Engineer jobs?

Cities near Berkeley, CA with the most Electrical And Computer Engineer job openings:

Infographic showing various Electrical And Computer Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $136,024 per year, or $65.4 per hour.

Computer Vision Engineer

Pano

San Francisco, CA • On-site, Remote

$141K - $184K/yr

Full-time

Medical, Retirement, PTO

Posted 10 days ago


Job description

Help us tackle the growing wildfire crisis with the latest advancements in AI and IoT
Who we are
The challenge: Every minute matters in wildfire response. As climate change increases the frequency and intensity of wildfires-with longer fire seasons, drier fuels, and more extreme weather-new ignitions can spread rapidly, putting communities, critical infrastructure, and ecosystems at risk. Today, many wildfires are first reported by members of the public, meaning it can take valuable time to detect a fire, confirm its location and size, and mobilize responders. Fire agencies need faster, more reliable ways to detect, verify, and pinpoint new ignitions so they can respond quickly and prevent small fires from becoming catastrophic events.
About Pano AI: Pano AI is the leader in AI-powered wildfire detection and intelligence, helping fire professionals detect, respond to, and contain wildfires faster and more safely. Our platform combines advanced hardware, software, artificial intelligence, satellite imagery, and other data sources to provide real-time situational awareness and actionable intelligence. Using a network of ultra-high-definition, 360-degree cameras positioned across high vantage points, Pano AI delivers a real-time view of wildfire activity, enabling faster, more informed decision-making when every second counts.
We are a team of more than 175 people working in a hybrid-remote environment across North America and Australia, with headquarters in San Francisco. Our customers include government agencies, utilities, insurers, and private landowners who rely on Pano AI to help protect people, property, and natural landscapes. Pano AI currently serves customers across the United States, Australia, and Canada, monitoring more than 50 million acres worldwide.
Our work has been recognized by Fast Company as one of the Top 10 Most Innovative AI Companies in 2023 and one of the World's Most Innovative Companies in 2026, ranking #1 in Sustainability. We have also been named to TIME's list of the 100 Most Influential Companies of 2025 and recognized by MIT Technology Review as one of the top climate technology companies to watch.
Backed by $89 million in funding from leading investors including Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures, we're building technology that helps communities around the world become more resilient to wildfire. Learn more at www.pano.ai.
The Role
We are looking for a motivated Computer Vision Engineer to help build the next generation of cloud/edge-based vision systems for wildfire detection and environmental monitoring.
In this role, you will work alongside experienced AI researchers and engineers to develop, evaluate, optimize, and deploy computer vision models on both cloud and edge devices. You will gain hands-on experience across modern computer vision, edge AI, embedded systems, and real-world AI deployment.
Beyond wildfire detection, you will contribute to a variety of computer vision projects, including vegetation detection, asset recognition, instance segmentation, scene understanding, and spatial reasoning. We value curiosity, adaptability, and a willingness to learn new technologies and tackle diverse technical challenges as our products evolve.
This is an excellent opportunity for an engineer who enjoys learning across the entire AI stack and wants to grow into a senior technical contributor.
What you'll do
  • Assist in developing computer vision models for:
    • Wildfire smoke detection
    • Vegetation detection and classification
    • Asset detection and recognition
    • Instance and semantic segmentation
    • Scene understanding and spatial reasoning
  • Help implement and maintain machine learning and computer vision pipelines.
  • Assist with deploying and optimizing AI models on NVIDIA Jetson and other edge platforms.
  • Support model optimization efforts, including TensorRT conversion, quantization, and inference acceleration.
  • Build tools for data processing, visualization, benchmarking, evaluation, and monitoring.
  • Conduct experiments, analyze model performance, and present findings to the team.
  • Debug inference, deployment, networking, and hardware integration issues.
  • Contribute to continuous learning, model evaluation, and data quality improvement workflows.
  • Collaborate closely with AI researchers, software engineers, hardware engineers, and product teams.
  • Document experiments, engineering decisions, and best practices.
  • Take on a variety of technical challenges as needed and continuously expand your skills across computer vision and cloud/edge AI.

What you'll bring
Required
  • BS or MS in Computer Science, Electrical Engineering, Robotics, or a related field.
  • 1-3 years of experience (including internships or research) in software engineering, machine learning, or computer vision.
  • Experience with Python and deep learning frameworks such as PyTorch.
  • Understanding of machine learning fundamentals and modern computer vision techniques.
  • Familiarity with Linux development environments.
  • Strong problem-solving skills, curiosity, and a desire to learn.
  • Excellent communication and teamwork skills.

Preferred
  • Experience with NVIDIA Jetson, CUDA, TensorRT, ONNX, or embedded AI platforms.
  • Experience with OpenCV.
  • Experience with one or more of the following:
    • Object detection
    • Instance or semantic segmentation
    • Image classification
    • Multi-object tracking
    • Video understanding
  • Familiarity with vision foundation models such as SAM, Grounding DINO, or DINO is a plus.
  • Experience with cloud platforms, MLOps, or CI/CD workflows.
  • Interest in deploying AI systems in real-world environments, particularly outdoor vision systems.

Final compensation for regular full-time employees is determined by a variety of factors, including job-related qualifications, education, experience, skills, knowledge, and geographic location. In addition to base salary, regular full-time roles are eligible for equity. Benefits are tailored to local market standards and statutory requirements in the employee's country of employment, and may include health coverage, retirement or pension contributions, and paid time off. Specific benefit details will be shared during the interview process.