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Computer Vision Software Engineer Jobs (NOW HIRING)

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Computer Vision Software Engineers

Mclean, VA · On-site

$95 - $120/hr

/Computer Vision Software Engineers# Computer Vision Software Engineers00100 LEIDOS, INC.McLean ... To promote these efforts, Leidos is looking for a onsite mid-level Software Engineer to join our ...

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Computer Vision Software Engineer information

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$147.5K

$205.5K

How much do computer vision software engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for computer vision software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is a computer vision software engineer?

Computer Vision Software Engineers are professionals who design, develop, and implement software solutions that enable computers to interpret and process visual information from the world, such as images and videos. They use techniques from machine learning, artificial intelligence, and image processing to build applications like facial recognition, object detection, and autonomous vehicles. Their work often involves programming, working with large datasets, and optimizing algorithms for accuracy and speed. These engineers are crucial in industries ranging from healthcare and automotive to security and entertainment.

What are the key skills and qualifications needed to thrive as a computer vision software engineer?

To thrive as a Computer Vision Software Engineer, you need strong programming skills (particularly in Python or C++), a solid background in mathematics and algorithms, and a degree in computer science or a related field. Experience with deep learning frameworks (such as TensorFlow or PyTorch), OpenCV, and familiarity with computer vision libraries and cloud platforms is highly valuable. Creative problem-solving, attention to detail, and effective teamwork are standout soft skills in this role. These skills and qualities are crucial for developing, optimizing, and deploying innovative computer vision solutions that address real-world challenges.

What are some common challenges computer vision software engineers face when deploying models to production environments?

One frequent challenge for Computer Vision Software Engineers is optimizing models to run efficiently in production, especially on devices with limited processing power or memory. Additionally, ensuring that models remain robust when exposed to real-world data—which may differ significantly from training data—requires ongoing monitoring and potential retraining. Collaboration with data engineers and DevOps teams is often essential to streamline deployment pipelines and address issues like data drift or latency. Staying updated with rapidly evolving frameworks and hardware accelerators is also key for success in this role.

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

AspectComputer Vision Software EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of 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, often in tech, automotive, or healthcare industriesBuilds models for various data types, including images, text, and tabular data, across multiple industries
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, startups, research institutions

While both roles involve machine learning concepts, Computer Vision Software Engineers focus specifically on image and video data, developing algorithms for visual understanding. Machine Learning Engineers have a broader scope, working on various data types and models. The roles often overlap but differ mainly in their specialization and application areas.

How much do computer vision software engineers make?

Computer vision software engineers typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning and image processing can earn higher salaries, often exceeding $150,000.
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Computer Vision Software Engineer jobs near you
Infographic showing various Computer Vision Software Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

Principal Computer Vision Software Engineer

Newton, MA • On-site

Magnendo Corp.
See more jobs at Magnendo Corp.external

$180 - $240/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Every minute matters in stroke treatment. Magnendo is developing robotic technology to make life-saving endovascular procedures faster, safer, and more accessible. By combining advanced robotics, magnetic navigation, and intelligent software, we are tackling one of the most technically demanding challenges in healthcare while aiming to expand access to advanced stroke care for patients around the world. Join us in shaping the future of endovascular intervention.

We're looking for a Principal Software Engineer to lead the design and development of our perception and computer vision software spanning a wide variety of algorithmic techniques, sensing, and imaging technologies. These include both real-time and non-real time systems, 3D sensing and medical imaging, planning and real-time perception algorithms that drive robotic navigation and control.

You Will:

  • Own the architecture and technical direction of our computer vision software, including image processing, 3D sensing, and ML-based perception

  • Design and implement production software for computer vision and machine learning algorithms for feature detection, segmentation, registration, and continuous monitoring from medical imaging

  • Design and implement production software for 3D reconstruction using 3D sensors in a complex and variable environment

  • Take ML models from research and prototyping through validation and production deployment

  • Supervise and partner with third-party contractors to define requirements, validate deliverables, and develop strategies for integrating their contributions into our production system

  • Design a highly testable architecture with unit and integration tests developed in parallel software modules

  • Drive design decisions using first-principles engineering analysis, simulation, prototyping, and hands-on testing

  • Define and review requirements, test plans, and acceptance criteria for computer vision and ML software components

  • Collaborate closely with robotics, systems, and hardware engineers to integrate perception into the broader system

  • Support risk analysis, design reviews, and root-cause investigations for computer vision and ML software

  • Ensure that software is developed following a rigorous process that combines best practices of modern high reliability software development with a regulatory V-model framework

You Are:

  • 9+ years of experience with strong fundamentals in computer vision, 3D sensing, and machine learning, including medical or other domain-specific imaging modalities, taking systems from research to real-time production deployment

  • Experienced with production software development in an environment with high reliability requirements, preferably under a regulatory regime

  • A great collaborator who understands the importance of clear communication and humility

  • A software engineer who wants to build extensible, maintainable,high qualitysystems

  • Motivated to apply advanced technology across multiple fields to a concrete application that saves lives

  • A strong individual contributorfirst and foremost, with the interest and ability to grow into leading a small team as the group scales

  • Comfortable serving as a technical authority — providing design guidance and review to internal engineers and external contractors alike

  • Able tooperatewith the judgment and independence expected of aPrincipal-level engineer — sets technical direction with limited oversight, while holding the line on rigor where it matters most

  • Able to clearly convey complex tradeoffs to cross-functional teams and external partners

  • Proficient with Python, C++, Linux, GIT

Bonus Points:

  • Experience in the medical device industry, ideally with interventional or robotic systems

  • Experience with medical or surgical imaging (e.g., fluoroscopy, ultrasound, endoscopy, CT/MRI)

  • Experience with 3D sensing hardware (e.g., stereo cameras, structured light, depth sensors) and sensor fusion

  • Experience deploying ML models on embedded or real-time systems

  • Working knowledge of medical device software requirements (e.g., IEC 62304, IEC 60601)

Magnendo Corp. is an equal opportunity employer and considers all qualified applications without regard to any characteristic protected by applicable law. We also participate in E-Verify. Employment offers are contingent upon successful completion of employment authorization verification (Form I-9) through E-Verify after hire.

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