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Computer Vision Software Engineer Jobs in Washington

Image & Computer Vision AI Engineer

Reston, VA · On-site

$119K - $143K/yr

As an Engineer on the Image & Computer Vision AI team, you will play a hands-on role in developing and deploying computer vision capabilities that support Babel Street's intelligence applications.

Implements and optimizes computer vision and perception algorithms using C++, including build ... Works closely with other software developers to design and reuse developed software to support ...

Implements and optimizes computer vision and perception algorithms using C++, including build ... Works closely with other software developers to design and reuse developed software to support ...

Our end-to-end suite of software solutions helps customers manage emergency communications, process ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

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Showing results 1-20

Computer Vision Software Engineer information

See Washington salary details

$71.9K

$167.1K

$232.7K

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

As of Jun 21, 2026, the average yearly pay for computer vision software engineer in Washington is $167,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,900.00 and $195,900.00 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 Washington? For Computer Vision Software Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Computer Vision Software Engineer jobs in Washington look for? The top searched job categories for Computer Vision Software Engineer jobs in Washington are:
What cities in Washington are hiring for Computer Vision Software Engineer jobs? Cities in Washington with the most Computer Vision Software Engineer job openings:
Senior Computer Vision Engineer, Space

Senior Computer Vision Engineer, Space

Anduril Industries

Washington, DC • On-site

$138K - $182K/yr

Other

Posted 15 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 TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB 

We are looking for a Senior Computer Vision Engineer to join our rapidly growing team in Washington DC. In this role, you will be responsible for working on and understand the design of all perception subsystems to include but not limited to hardware sensors and advanced processing platforms, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. The computer vision engineering team will work closely with related teams, including Sensors, GNC, Avionics, Systems, Flight Software, Mission Operations, and Ground Software. The Computer Vision Engineer will work algorithm design, truth and physics modeling, scene rendering, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking). The CV Engineer will help lead successful implementation, validation and CV operations of Anduril's fleet of space vehicles.  This role is directly tied to ongoing, funded programs within Anduril's Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU'LL DO
  • Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field
  • Develop and maintain core libraries and runtime applications
  • Integrate classical and geometric methods in computer vision with ML methods
  • Work space vehicle CV software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with partners for successful implementation
  • Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives
  • Develop appropriate test plans and procedures to validate the CV system during ground checkout, on-orbit commissioning and operations
  • Collaborate across multiple teams to plan, build, and test complex functionality
  • Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints
  • Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems
  • Design of flight software and firmware, algorithms, and simulation products
  • Development of space vehicle autonomy tools for dynamic space operations
  • Test process development and execution
  • Define automated fault detection and responses
  • Provide hardware-in-the-loop and monte-carlo simulation capabilities
REQUIRED QUALIFICATIONS
  • MS or PhD in Machine Learning, Robotics or Computer Science, Image Science with emphasis on Computer Vision
  • BS in Computer Science, Machine Learning, Electrical Engineering, or related field
  • Advanced professional experience developing and benchmarking ML algorithms on large-scale datasets
  • High proficiency in C++ development in a Linux environment
  • Experience in one or more of the following: Objection Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Natural Feature Tracking (NFT)
  • Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, Multi-band sensor processing, RGB-D and LIDAR Sensor Fusion
  • Ability to quickly understand and navigate complex systems and detailed requirements
  • Familiarity with terminal guidance, rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, and/or spacecraft/missile GNC
  • Clear communication and organizational skills including documentation and training material
  • Currently possesses and is able to maintain an active U.S. Top Secret security clearance
PREFERRED QUALIFICATIONS
  • Experience with Matlab, Simulink, Python, Go, C++ and/or Linux systems
  • A desire to work on critical software and hardware designs in the space domain
  • Strong preference for candidates possessing computer vision, vision navigation, image processing, feature tracking, SLAM, Open CV, and NFT
  • Experience testing CV subsystems in laboratory environments that mimic the space environmental constraints
  • Experience with orbital mechanics and resident space object tracking capabilities
  • Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime
  • Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds and digital spacecraft simulators through nominal and fault scenarios
  • Experience with computer vision and perception algorithms to support GNC operations
  • Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation
  • Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits

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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