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Computer Vision Software Engineer Jobs in Washington

/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 ...

Computer Vision Engineer

Sterling, VA · On-site

$110K - $130K/yr

Join a cross-functional team of robotics, software, and mechanical engineers to build the computer vision and perception systems that powers Molg's robotic microfactories. As a Computer Vision ...

Computer Vision Engineer

Sterling, VA

$110K - $130K/yr

Molg builds robotics microfactories and software to autonomously assemble and disassemble complex ... As a Computer Vision Engineer, you will be responsible for: * Continuous design, development ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

R0244633 Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experience d AI Developer spe cia lizing in Computer Vision to join our growing team for space solutions.

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

R0245087 Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experience d AI Developer spe cia lizing in computer vision to join our growing team for space solutions.

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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 Aug 26, 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 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.

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:

Infographic showing various Computer Vision Software Engineer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 13% Part Time, 2% Temporary, and 9% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $167,085 per year, or $80.3 per hour.

Computer Vision Software Engineers

Mclean, VA • On-site

$95 - $120/hr

Other

Posted 20 days ago


Job description

/Computer Vision Software Engineers# Computer Vision Software Engineers00100 LEIDOS, INC.McLean, USFull-time## About the RoleJoin us in improving and shaping the future of the smart mobility with a group of intelligent, motivated, and dedicated individuals! Leidos operates the Federal Highway Administration's (FHWA) Saxton Transportation Operations Laboratory (STOL) , a US Department of Transportation (USDOT) onsite R D lab located at the Turner Fairbank Highway Research Center . STOL's focus is on improving transportation system operations to achieve USDOT's safety, mobility, sustainability and equity goals. STOL spearheads a variety of exciting R D projects involving emerging technologies, including but not limited to infrastructure and vehicle connectivity and automation, everything-in-the loop simulation, and AI/ML modeling in a fast-paced and collaborative laboratory environment to solve novel transportation research problems. Learn about STOL here : https://highways.dot.gov/turner-fairbank-highway-research-center/labs/STOL To promote these efforts, Leidos is looking for a onsite mid-level Software Engineer to join our team! CANDIDATE MUSTbe able to work onsite full time in McLean, VA AND have the Ability to obtain and maintain a Public Trust security clearance ( which includes current three years immediate residency in the US ). Primary Responsibilities:Analyze and assess the team's existing ITS software systems to understand their architecture, and how they can be redesigned into more modular, scalable, and maintainable components. Contribute to internal best practices for software development and lead knowledge sharing to support adoption across development teams. Work with cross-functional internal team to determine technical feasibility of projects, breakdown project goals into software development tasks, and assist with overall effort and timeline estimation of planned work. Lead the execution of planned technical work, including design work, addressing unplanned technical challenges, and being responsive to changes in customer needs. Directly interact with on-site customer representatives and external stakeholders to communicate across technical disciplines as needed throughout a project's life cycle. Lead development for research prototypes and proof-of-concepts for various intelligent transportation systems (ITS) applications across a variety of ITS devices, including infrastructure, vehicle, and cloud systems. Participate in and help shape our open-source software process, triaging and addressing issues reported by external users and evaluating 3rd party code contributions. Identify, document, and formulate approaches to addressing areas of technical debt. Conduct hands-on test events and demonstrations, on-site at TFHRC and off-site at test facilities. Minimal Qualifications:Interest in working with emerging technologies and shaping the future of transportation. A Bachelor's degree in computer science or engineering with at least 4 years of professional experience in object-oriented software development, or a Master's degree with at least 2 years of professional experience in object-oriented software development. Experience and familiarity with manual memory management in languages like C/C++. Experience in developing solutions to open-ended research questions and developing novel approaches to solving problems. Strong ability and interest to learn new problem domains, new skills, algorithms, and concepts. Interest and motivation to develop software to answer valuable research questions to advance transportation technology. Experience with Git. Experience with Docker (including docker-compose). Experience developing in an Agile framework using toolsets such as JIRA and Confluence. Proficiency in software quality techniques and practices (automated unit testing, test-driven design/development, CI/CD pipelines with GitHub Actions, static code analysis tools, etc.). Understanding of mathematical fundamentals, including geometry, linear algebra, probability, graph theory, set theory, and statistics. Preferred Qualifications:Extensive experience designing, implementing, and maintaining C++, Java, and Python software packages in a Linux environment. Experience with Linux build systems and package management systems. Experience with Kafka or similar message broker systems. Experience with Robot Operating System (ROS). Experience with user interface (UI) and/or front-end development. Familiarity with distributed computing and cloud computing concepts. Familiarity with one or more robotics concepts such as localization, path planning, perception, or sensor fusion. Familiarity with simulation environments such as SUMO or CARLA, or other simulators built in Unreal or Unity. Familiarity with existing CDA infrastructure standards and/or hardware such as those from SAE or IEEE. Experience in a fast-paced dynamic R D environment. Experience as software engineering team lead. Anticipated Salary range for this role is $95-$120k If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the sta### Apply for this PositionFill out the form below to apply for this roleLocationMcLean, US #J-18808-Ljbffr