ZipRecruiter

Log In

1

Computer Vision Engineer Jobs in Sacramento, CA (NOW HIRING)

Sapios

Computer Vision Engineer

Sacramento, CA · On-site

$121K - $143K/yr

Computer Vision Engineer Location: USA only. We're looking for a passionate Computer Vision Engineer to join our core engineering team. You'll work on algorithms that power the ARTS platform: from ...

New

Terabase Energy

Robotics Software Engineer

Woodland, CA · On-site

We are hiring an AI Engineer to embed with our mechanical and controls engineering teams and implement physical AI: systems where computer vision and machine learning models perceive the physical ...

New

Terabase Energy

Robotics Software Engineer

Woodland, CA · On-site

We are hiring an AI Engineer to embed with our mechanical and controls engineering teams and implement physical AI: systems where computer vision and machine learning models perceive the physical ...

New

Terabase Energy

Robotics Software Engineer

Woodland, CA · On-site

We are hiring an AI Engineer to embed with our mechanical and controls engineering teams and implement physical AI: systems where computer vision and machine learning models perceive the physical ...

New

OceanAI, LLC

Software Engineer

Sacramento, CA · On-site

$100 - $130/hr

Engineering - Sacramento, California, United States - Full Stack and AI About the team At OceanAI ... D./M.S in computer vision, natural language processing, machine learning, computer graphics ...

New

Accenture

Responsible AI Engineer

Sacramento, CA · On-site

Natural Language Processing, Text Mining, Computer Vision, Image Recognition * Machine Learning Visualization Tools * Minimum of 3 years of experience in the following: * Proficiency in programming ...

Hazen and Sawyer

Structural CAD/BIM Designer

Sacramento, CA · On-site

$85K - $95K/yr

Hazen and Sawyer is seeking a CAD/BIM Designer to work alongside project managers and engineers to ... Comprehensive health benefits (medical, dental, vision, and prescription plans) * Pre-tax flexible ...

Cordoba-Corporation

Associate Engineer

Sacramento, CA · On-site

$85 - $125/hr

The Associate Engineer utilizes Computer-Aided Design (CAD) software to prepare and modify track ... We offer multiple medical and dental insurance plans, as well as vision insurance. Plans are ...

Cordoba Corporation

Associate Engineer

Sacramento, CA · On-site

$85K - $125K/yr

The Associate Engineer utilizes Computer-Aided Design (CAD) software to prepare and modify track ... We offer multiple medical and dental insurance plans, as well as vision insurance. Plans are ...

Cordoba Corporation

Associate Engineer

Sacramento, CA · On-site

$85 - $125/hr

The Associate Engineer utilizes Computer-Aided Design (CAD) software to prepare and modify track ... We offer multiple medical and dental insurance plans, as well as vision insurance. Plans are ...

next page

Showing results 1-20

All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Sacramento, CA

Computer Vision Engineer information

See Sacramento, CA salary details

$51.7K

$129.6K

$146.6K

How much do computer vision engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for computer vision engineer in Sacramento, CA is $129,574.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $140,200.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

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

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

More about Computer Vision Engineer jobs

What are popular job titles related to Computer Vision Engineer jobs in Sacramento, CA?

For Computer Vision Engineer jobs in Sacramento, CA, the most frequently searched job titles are:

What job categories do people searching Computer Vision Engineer jobs in Sacramento, CA look for?

The top searched job categories for Computer Vision Engineer jobs in Sacramento, CA are:

What cities near Sacramento, CA are hiring for Computer Vision Engineer jobs?

Cities near Sacramento, CA with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Sacramento, CA as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 94% In-person, 2% Hybrid, and 4% Remote job distribution, with an average salary of $129,574 per year, or $62.3 per hour.

Computer Vision Engineer

Sapios

Sacramento, CA • On-site

$121K - $143K/yr

Other

Medical

Posted 3 days ago

New

Job description

Sapios is building the future of automated driver evaluation systems. Our flagship invention – the Automated Road Test System (ARTS) – transforms an iPhone into a robotic driving examiner using computer vision, AI, and robotics. With deployments and paid pilots already underway with the Department of Motor Vehicles across US and Sweden, QTPIE is on a mission to make road testing safer, fairer, and more data-driven.


Our technology also has exciting applications in insurance, healthcare, and robotics – and we’re just getting started.


Role: Computer Vision Engineer

Location: USA only.


We’re looking for a passionate Computer Vision Engineer to join our core engineering team. You’ll work on algorithms that power the ARTS platform: from object detection and scene understanding to sensor fusion and behavioral analysis. Your work will directly impact how millions of drivers are tested and evaluated globally.


What You’ll Do


  • Design, implement, and optimize computer vision pipelines (object detection, lane detection, sign recognition, behavior recognition).
  • Develop methods to fuse data from multiple sensors (video, IMU, GPS, LiDAR).
  • Contribute to real-time inference systems on mobile devices (iPhone + GPU acceleration).
  • Collaborate with AI researchers and robotics engineers to integrate vision into the ARTS platform.
  • Work with large-scale datasets of driving behavior and create scalable training/evaluation pipelines.
  • Publish and present work internally and externally (patents, research collaborations).


What We’re Looking For


  • Strong background in computer vision, deep learning, or robotics.
  • Hands-on experience with PyTorch, TensorFlow, or ONNX.
  • Experience with object detection/tracking (YOLO, DETR, etc.) and scene understanding.
  • Solid programming skills in Python (C++/Swift is a plus).
  • Experience with real-time systems or edge deployment (CoreML, TFLite, ONNX Runtime, NVIDIA GPUs).
  • A problem-solver mindset: comfortable working on ambiguous, high-impact projects.


Bonus Points For


  • Experience in autonomous driving, ADAS, or driver monitoring systems.
  • Familiarity with sensor fusion (IMU, GPS, LiDAR + video).
  • Experience deploying ML pipelines to cloud environments (GCP, AWS, Azure).
  • Contributions to open-source projects in CV/ML.


Why Join Us?


  • Be part of a once-in-a-generation innovation redefining road safety.
  • Work in a fast-growing startup with traction across the US and Europe.
  • Collaborate with a team of AI, robotics, and medical innovators.
  • Flexible hybrid/remote setup.
  • Competitive salary + equity options.


How to Apply


Send your CV, portfolio/GitHub, and a short note about why you’d like to join QTPIE to ravi@sapios.io.


Sapios is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees.

Apply