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Computer Vision Engineer Jobs in Redmond, WA (NOW HIRING)

Anduril Industries

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 ...

Anduril Industries

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 ...

Anduril Industries

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.

Anduril Industries

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 ...

SID Global Solutions

Computer Vision Engineer

Bellevue, WA

$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 ...

SID Global Solutions

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 ...

Anduril Industries

Perception Engineer

Seattle, WA

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 ...

Anduril Industries

Perception 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 ...

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Computer Vision Engineer information

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$54.3K

$136.1K

$154K

How much do computer vision engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for computer vision engineer in Redmond, WA is $136,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,900.00 and $147,300.00 per year, depending on experience, location, and employer.

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 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 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.

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.

More about Computer Vision Engineer jobs
What are the most commonly searched types of Computer Vision Engineer jobs in Redmond, WA? The most popular types of Computer Vision Engineer jobs in Redmond, WA are:
What are popular job titles related to Computer Vision Engineer jobs in Redmond, WA? For Computer Vision Engineer jobs in Redmond, WA, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Redmond, WA look for? The top searched job categories for Computer Vision Engineer jobs in Redmond, WA are:
What cities near Redmond, WA are hiring for Computer Vision Engineer jobs? Cities near Redmond, WA with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Computer Vision Engineer

Computer Vision Engineer

Anduril Industries

Seattle, WA

$126.90K - $149.60K/yr

Other

Posted 29 days 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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