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Computer Vision Engineer Jobs (NOW HIRING)

Revelyst

Computer Vision Engineer

San Diego, CA

$112K - $130K/yr

Computer Vision Engineer JOB OVERVIEW As a Computer Vision Engineer at Foresight Sports, you'll design and implement vision-based systems that enable real-time tracking of golf balls, club heads, and ...

Revelyst

Computer Vision Engineer

San Diego, CA · On-site

$112K - $130K/yr

Computer Vision Engineer JOB OVERVIEW As a Computer Vision Engineer at Foresight Sports, you'll design and implement vision-based systems that enable real-time tracking of golf balls, club heads, and ...

Revelyst

Computer Vision Engineer

San Diego, CA · On-site

$112K - $130K/yr

Computer Vision Engineer JOB OVERVIEW As a Computer Vision Engineer at Foresight Sports, you'll design and implement vision-based systems that enable real-time tracking of golf balls, club heads, and ...

Qualcomm

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 ...

SID Global Solutions

Computer Vision Engineer

Bellevue, WA

$125K - $148K/yr

Role Overview We are seeking a highly skilled and innovative Computer Vision Engineering to lead the lifecycle of complex cross-functional projects within our North America Fulfillment Network. This ...

Molg

Computer Vision Engineer

Sterling, VA · On-site

$110K - $130K/yr

As a Computer Vision Engineer, you will: * Drive the architecture, development, and deployment of advanced 2D and 3D computer vision systems that enable Molg's robotic microfactories. * Own the full ...

SID Global Solutions

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $147K/yr

Role Overview We are seeking a highly skilled and innovative Computer Vision Engineering to lead the lifecycle of complex cross-functional projects within our North America Fulfillment Network. This ...

Revelyst

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

Revelyst is a company focused on innovative sports technology, and they are seeking a Computer Vision Engineer to design and implement vision-based systems for real-time tracking in golf products.

MOLG Inc.

Computer Vision Engineer

Sterling, VA

$110K - $130K/yr

As a Computer Vision Engineer, you will be responsible for: * Continuous design, development, testing, and deployment of 2D and 3D vision capabilities incorporated into the Molg Microfactories.

Corning

Computer Vision Engineer

Painted Post, NY

$69K - $95K/yr

Corning Environmental Technologies (CET) is seeking a Computer Vision Engineer to join the Engineering Measurements & Controls group. This entry-level role focuses on developing and supporting ...

Corning

Computer Vision Engineer

Painted Post, NY

$69K - $95K/yr

Corning Environmental Technologies (CET) is seeking a Computer Vision Engineer to join the Engineering Measurements & Controls group. This entry-level role focuses on developing and supporting ...

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 ...

SumerSports LLC

Computer Vision Engineer

$114K - $134K/yr

We're hiring a hands-on Computer Vision Engineer to build and improve sports video intelligence models-detection, tracking, pose, event understanding, and multi-view reasoning. You'll spend most of ...

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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 Jun 10, 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 are Computer Vision Engineers?

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.
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Computer Vision Engineer jobs near you

Computer Vision Engineer

Revelyst

San Diego, CA

$112K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

Job Description

Computer Vision Engineer

JOB OVERVIEW

As a Computer Vision Engineer at Foresight Sports, you'll design and implement vision-based systems that enable real-time tracking of golf balls, club heads, and player motion using high-speed camera data. Your work will directly power the core functionality of our flagship launch monitors and simulation products. This role blends algorithm development, machine vision, and performance optimization in a fast-paced, hardware-integrated environment.

This position reports to the Firmware Engineer Manager and is based in our San Diego headquarters.

As a Computer Vision Engineer you will have an opportunity to:

  • Develop and implement real-time computer vision algorithms for object detection, tracking, pose estimation, and motion analysis.
  • Work with high-frame-rate, multi-camera systems to extract 3D trajectory and impact data for golf ball and club head tracking.
  • Collaborate with hardware, firmware, and simulation teams to integrate vision pipelines with embedded and desktop systems.
  • Optimize code performance for real-time constraints using SIMD, GPU, or multithreading techniques.
  • Apply image calibration, stereo vision, and sensor fusion techniques for accurate spatial modeling.
  • Prototype and test new vision concepts, evaluate image sensor performance, and contribute to field trials.
  • Write clean, modular, and testable code with unit and integration tests.
  • Maintain detailed documentation of vision algorithms, workflows, and data pipelines.
  • Support ML workflows including dataset versioning, experiment tracking, and model deployment on Azure ML infrastructure.
  • Maintain and extend MLOps tooling - annotation pipelines (CVAT), training jobs, and model evaluation workflows.

You have:

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
  • 3-5+ years of experience in computer vision, preferably in a real-time, product-focused environment.
  • Strong proficiency in C++ and Python, with experience using OpenCV or similar vision libraries.
  • Solid understanding of camera geometry, calibration (intrinsic/extrinsic), and lens distortion correction.
  • Experience with multi-camera setups, stereo vision, or 3D reconstruction.
  • Familiarity with object detection/tracking techniques (e.g., optical flow, Kalman filters, background subtraction, deep learning-based methods).
  • Knowledge of real-time optimization techniques, parallel processing, or embedded CV deployment.

You may have:

  • Experience with machine learning frameworks (e.g., PyTorch, TensorFlow) for CV applications.
  • Familiarity with OpenGL, CUDA, or GPU programming for acceleration.
  • Knowledge of golf dynamics or sports motion tracking is a plus.
  • Experience working on embedded systems or with real-time video processing pipelines.
  • Exposure to MATLAB or ROS is beneficial for prototyping and testing.
  • Hands-on experience with Azure Machine Learning (workspaces, compute clusters, datastores, and experiment tracking).
  • Familiarity with Docker and Docker Compose for containerized ML tooling
    deployment on cloud VMs.
  • Experience with Azure DevOps pipelines for automating ML training, evaluation, and model registration workflows.

Pay Range:

Annual Salary: $112,000.00 - $130,000.00

The actual annual salary offered to a candidate will be based on variables including experience, geographic location, education, and skills/achievements, and will be mutually agreed upon at the time of offer.

We offer a highly competitive salary, comprehensive benefits including: medical and dental, vision, disability and life insurance, 401K, PTO, paid holidays, gear discounts and the ability to add value to an exciting mission!

Our Postings are not intended for distribution to or use in any jurisdiction, country or territory where such distribution or use would violate local law or would subject us to any regulations in another jurisdiction, country or territory. We reserve the right to limit our Postings in any jurisdiction, country or territory.

Equal Opportunity Employer Protected Veteran/Disabled

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