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Computer Vision Engineer Jobs (NOW HIRING)

EE Recruiters

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

... Engineers who are interested in helping us reach our goal to deliver the safest Autonomous Driving System available We have numerous roles across several key teams, including Computer Vision. We are ...

Toggle Robotics

3D Computer Vision Engineer

$114K - $134K/yr

They are seeking a 3D Computer Vision Engineer to develop software that transforms raw 3D scan data into reliable measurements and decisions for quality control in fabrication environments.

Archer

Computer Vision Engineer

San Jose, CA · On-site

$140K - $260K/yr

Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment * Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar

Infosys

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

Required : • Expertise in developing real-time computer vision models • Python, Pytorch, tensorflow • CV/ML model development • Object recognition/Detection • Bachelor's degree or foreign ...

Archer

Computer Vision Engineer

San Jose, CA · On-site

$140K - $260K/yr

Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment * Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar

Grupo Oesía

Computer Vision Engineer

Chinquapin, NC · On-site

$99K - $117K/yr

* Design and develop Computer Vision algorithms for the detection, recognition, classification, and automatic tracking of targets. * Participate in R&D projects involving EO/IR (Electro-Optical ...

T3i, Inc.

Computer Vision Engineer - UAS

San Antonio, TX

$100K - $118K/yr

We are seeking a Computer Vision Engineer (CVE) to develop the Blackfoot's perception and visual autonomy stack. This role is critical to delivering robust onboard vision capabilities - object ...

Darbytek

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

We are seeking a Full-time Sr Level Computer Vision Engineer to help provide expertise to our team here in Austin TX. Candidates must be local or willing to relocate. Very lucrative opportunity to ...

Meta

Computer Vision Engineer

Burlingame, CA

$125K - $148K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role brid.

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Computer Vision Engineer information

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$48.5K

$121.5K

$137.5K

How much do computer vision engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for computer vision engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 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 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.

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 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 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.
More about Computer Vision Engineer jobs
What cities are hiring for Computer Vision Engineer jobs? Cities with the most Computer Vision Engineer job openings:
What are the most commonly searched types of Computer Vision Engineer jobs? The most popular types of Computer Vision Engineer jobs are:
Who are the top companies hiring for Computer Vision Engineer jobs? The top employers for Computer Vision Engineer jobs are:
What states have the most Computer Vision Engineer jobs? States with the most job openings for Computer Vision Engineer jobs include:
What job categories do people searching Computer Vision Engineer jobs look for? The top searched job categories for Computer Vision Engineer jobs are:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Computer Vision Engineer

EE Recruiters

Santa Clara, CA • On-site

$131K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Job description

Company Description

We are searching for several talented Engineers who are interested in helping us reach our goal to deliver the safest Autonomous Driving System available

We have numerous roles across several key teams, including Computer Vision.

Job Description

We are looking for excellent problem solvers to:

  • Contribute to multi-sensor data collection and processing systems
  • Develop, deploy and optimize machine learning algorithms for the radar system
  • Build software infrastructure for large scale data storage and processing on AWS
  • Communicate requirements and specifications to the hardware and software teams
  • Collaborate with team members to build full-stack automotive software solutions
  • Perform other duties as necessary for completion of projects and achievement of goals
Qualifications
  • B.S/M.S./Ph.D. in computer sciences or related area with at least 2 years of working experience in industry
  • 2+ years of experience with machine learning, computer vision, and signal processing
  • Firsthand experience with a variety of learning approaches (supervised, unsupervised, reinforcement, etc.) and neural network architectures (convolutional, fully-connected, recurrent, etc.)
  • Excellent programming skills, especially in C/C++ and Python
  • Familiarity with common cloud computing resources

Preferred:

  • Experience with deploying custom software to embedded CPUs, GPUs, or FPGAs
  • Previous work with autonomous vehicles, multi-sensor data collection, or large-scale data processing.
  • Knowledge of the physics of radar and sensor systems
  • Interesting projects on Github or similar
Additional Information

Perks + Benefits:

  • Competitive salary package
  • Stock options for every employee
  • Healthcare + dental + vision (Free for employee/heavily discounted for family)
  • 401k plan
  • Catered lunch + healthy snacks + beverages
  • Generous paid vacation + holidays
  • Relocation assistance + reimbursement
  • Free parking + transportation incentives
  • Social events + happy hours + team parties

Apply