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Computer Vision Engineering Jobs (NOW HIRING)

Computer Vision Engineer

San Diego, CA · On-site

$112K - $130K/yr

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 ...

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 ...

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

$112K - $130K/yr

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 ...

Computer Vision Engineer

Bellevue, WA · On-site

$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 ...

Computer Vision Engineer

San Diego, CA · On-site

$112K - $130K/yr

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 ...

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 ...

Computer Vision Engineer

Costa Mesa, CA · On-site

$191K - $253K/yr

This role requires not only technical expertise in computer vision and robotics but also the ability to make pragmatic engineering tradeoffs, considering the unique constraints of aerial platforms.

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

Required : • 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 ...

Computer Vision Engineer

Costa Mesa, CA · On-site

$191K - $253K/yr

This role requires not only technical expertise in computer vision and robotics but also the ability to make pragmatic engineering tradeoffs, considering the unique constraints of aerial platforms.

The Director of Computer Vision will drive the technical vision, research and engineering execution ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

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.

The Director of Computer Vision will drive the technical vision, research and engineering execution ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

The Director of Computer Vision will drive the technical vision, research and engineering execution ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

The Director of Computer Vision will drive the technical vision, research and engineering execution ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

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Showing results 1-20

Computer Vision Engineering information

See salary details

$48.5K

$121.5K

$137.5K

How much do computer vision engineering jobs pay per year?

As of Jun 9, 2026, the average yearly pay for computer vision engineering 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 the difference between Computer Vision Engineering vs Machine Learning Engineering?

AspectComputer Vision EngineeringMachine Learning Engineering
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; knowledge of image processing and computer vision librariesBachelor's or Master's in Computer Science, Data Science, or related fields; strong programming and statistical skills
Work EnvironmentDeveloping algorithms for image/video analysis, object detection, and scene understandingBuilding models for various data types, including images, text, and tabular data
Employer & Industry UsageTech companies, robotics, automotive, healthcare, securityTech firms, finance, healthcare, e-commerce, research institutions

Computer Vision Engineering focuses on developing algorithms for interpreting visual data, while Machine Learning Engineering covers a broader range of data types and applications. Both roles require strong programming skills and often overlap in skills and tools, but their primary focus and industry applications differ.

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 solid background in mathematics, programming (especially Python or C++), and machine learning, typically backed by a degree in computer science or a related field. Familiarity with tools such as OpenCV, TensorFlow, PyTorch, and experience with image processing libraries and deep learning frameworks is essential. Strong problem-solving skills, attention to detail, and effective communication set standout professionals apart in this field. These skills and qualities are crucial for developing innovative computer vision solutions and collaborating across multidisciplinary teams to solve complex visual recognition challenges.

What is computer vision engineering?

Computer vision engineering is a field within artificial intelligence that focuses on enabling computers and systems to interpret and process visual information from the world, such as images and videos. Computer vision engineers develop algorithms and models that allow machines to identify, classify, and analyze visual data, often for applications like facial recognition, autonomous vehicles, medical imaging, and industrial automation. They work with large datasets, deep learning frameworks, and various programming languages to build and optimize these intelligent systems.

What are the typical challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring models perform accurately on real-world data, optimizing inference speed for deployment on various hardware, and managing large-scale image or video data pipelines. Additionally, integrating computer vision solutions with existing backend systems and maintaining model performance as data evolves can be complex. Collaboration with data engineers, software developers, and QA teams is essential to address these issues and ensure robust, scalable deployment.
More about Computer Vision Engineering jobs
Infographic showing various Computer Vision Engineering job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 52% Full Time, 44% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Computer Vision Engineer

Revelyst

San Diego, CA • On-site

$112K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 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