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Computer Vision Software Engineer Jobs in Seattle, WA

Computer Vision Engineer

Seattle, WA

$126.90K - $149.60K/yr

About the Role We are seeking a Computer Vision Engineer to join our Perception team at Anduril Industries, where we develop cutting-edge perception systems for autonomous drones and unmanned sea ...

Computer Vision Engineer

Seattle, WA · On-site

$126.90K - $149.60K/yr

The Computer Vision Engineer will develop cutting-edge perception systems for autonomous drones and unmanned sea vehicles, collaborating with various teams to ensure high-quality sensor data ...

Computer Vision Engineer

Seattle, WA · On-site

$126.90K - $149.60K/yr

They are seeking a Computer Vision Engineer to develop perception systems for autonomous drones and unmanned sea vehicles, requiring expertise in camera integration and calibration workflows.

Computer Vision Engineer

Seattle, WA · On-site

$166K - $220K/yr

About the Role We are seeking a Computer Vision Engineer to join our Perception team at Anduril Industries, where we develop cutting-edge perception systems for autonomous drones and unmanned sea ...

Computer Vision Engineer

Bellevue, WA · On-site

$125.80K - $148.40K/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

Bellevue, WA · On-site

$125.10K - $147.60K/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 ...

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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 May 30, 2026, the average yearly pay for computer vision software engineer in Seattle, WA is $167,886.00, 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 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 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 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:
Infographic showing various Computer Vision Software Engineer job openings in Seattle, WA as of May 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $167,886 per year, or $80.7 per hour.
Computer Vision Engineer

$126.90K - $149.60K/yr

Other

Posted 1 hour ago


Anduril rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

About the Role

We are seeking a Computer Vision Engineer to join our Perception team at Anduril Industries, where we develop cutting-edge perception systems for autonomous drones and unmanned sea vehicles in defense applications. While our team has strong capabilities in machine learning and real-time processing, we need a classical computer vision expert to elevate our camera integration, calibration workflows, and establish industry-standard best practices.
This role will collaborate across multiple teams, supporting ML engineers, system architects, and integration specialists by ensuring our perception systems receive high-quality, well-calibrated sensor data from diverse camera modalities.

Key ResponsibilitiesCamera Systems & Integration
  • Design and implement camera integration pipelines for diverse sensor modalities including RGB, stereo, fisheye, thermal, and event-based camera
  • Develop middleware and vision pipeline components that interface with our perception stack
  • Work with hardware and program teams to evaluate and integrate new camera systems
Calibration & Geometric Vision
  • Develop and maintain calibration procedures for intrinsic and extrinsic camera parameters
  • Implement multi-camera calibration systems and camera-lidar extrinsic calibration workflows
  • Design online and offline calibration methods for field deployment scenarios
  • Apply geometric computer vision techniques including structure from motion and 3D reconstruction
Classical Computer Vision
  • Implement robust image processing pipelines (filtering, augmentation, rectification)
  • Develop feature detection, matching, and tracking algorithms
  • Design optical flow and visual odometry solutions
  • Optimize vision algorithms for real-time performance on embedded platforms
Standards & Best Practices
  • Establish and document computer vision best practices
  • Create reusable calibration tools and frameworks
  • Ensure vision systems meet defense industry standards and requirements
  • Conduct lab testing and validation of camera systems
Required Qualifications
  • Education: Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field
  • Experience: 4-6 years of industry experience in computer vision engineering OR Master's degree with 2-4 years of industry experience
  • Strong proficiency in C++ or Python
  • Hands-on experience with OpenCV and classical computer vision algorithms
  • Deep understanding of camera models, calibration theory, and geometric vision
  • Experience with multi-camera systems and sensor fusion
  • Experience developing middleware and vision pipelines (ROS/ROS2 or similar)
  • Familiarity with diverse camera technologies (RGB, stereo, fisheye, thermal, ToF, event-based)
  • Lab experience with camera systems and optical equipment
Preferred Qualifications
  • Rust programming experience
  • Master's degree in Computer Vision, Robotics, or related field
  • Experience in defense, aerospace, or autonomous systems
  • Background in robotics perception for drones or marine vehicles
  • Experience with real-time embedded vision systems
  • Familiarity with defense industry standards and security clearance processes
  • Publications or contributions to computer vision research or open-source projects

Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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