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Computer Vision Software Engineer Jobs in Seattle, WA

Starcloud

Software Engineer

Redmond, WA

$160K - $210K/yr

Bachelor's degree in Computer Science, Engineering, Math, or a related field, or 2+ years of ... Comprehensive medical, vision, and dental coverage. * 401(k) retirement plan with company match.

Blue Origin

Software Engineer II

Seattle, WA · On-site

$134K - $188K/yr

As a software engineer, you will be a key member of a team of experts supporting manufacturing ... Leverage AI technologies and tools (e.g., LLMs, computer vision models) to enhance software ...

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All JobsComputer Vision Software Engineer JobsComputer Vision Software Engineer Jobs in Seattle, WA

Computer Vision Software Engineer information

See Seattle, WA salary details

$72.3K

$167.9K

$233.9K

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

As of Jul 14, 2026, the average yearly pay for computer vision software engineer in Seattle, WA is $167,883.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,600.00 and $196,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Vision Software Engineer, and why are they important?

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 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.

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 are Computer Vision Software Engineers?

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 popular job titles related to Computer Vision Software Engineer jobs in Seattle, WA? For Computer Vision Software Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Computer Vision Software Engineer jobs in Seattle, WA look for? The top searched job categories for Computer Vision Software Engineer jobs in Seattle, WA are:
Computer Vision Software Engineer jobs near you
Infographic showing various Computer Vision Software Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $167,883 per year, or $80.7 per hour.
Sr. Software Engineer, Robot Systems

Sr. Software Engineer, Robot Systems

Carbon Robotics

Seattle, WA • On-site

Other

Re-posted 21 days ago

Job description

As a Robot Systems Software Engineer  at Carbon Robotics you will work alongside your software, mechanical and electrical peers to build AI and robotics products. In particular, you will be involved in the design and implementations of robot side features and algorithms.

You'll do whatever it takes - which might include going to the farm - to ensure our customers have reliable and safe products.

What you'll do:

  • Partner with Engineering teams to build efficient robotic software to support our revolutionary Laser Weeding robots and future products. 
  • Build and troubleshoot robot system software and develop tooling to support high performance robotics algorithms.
  • What you'll build will help deliver state of the art AI performance to our robots by improving our machine learning pipelines and building associated features.
  • Work with a fast-paced, nimble software team working on problems that have never been solved before.
  • Drive decision through project planning, task delegation and leading problem solving efforts to iterate quickly

Knowledge, Skills, and Abilities for Success:

  • Experience as a System Software Engineer building on machine and in the cloud software with 5+ years of programming in C++ and Python.
  • Proficiency with modern Linux development environments (e.g. bash, git, docker, etc.)
  • Proficiency with web services (REST/GRPC)
  • Experience with robotic and computer vision algorithms is beneficial
  • General knowledge of observability tools (ex: Prometheus ecosystem) is a plus
  • Effective verbal and written communication skills and a desire to work in multidisciplinary teams
  • BS+ in Computer Science, Computer Engineering or related field

Qualified applicants will receive a short survey after applying to help the team learn more about you.

Apply