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Computer Vision Software Engineer Jobs in Washington

GRVTY

Computer Vision Engineer - Senior

Springfield, VA

$109.20K - $149.90K/yr

... software engineers, systems integrators, and program managers. You'll be at the forefront of ... computer vision systems that perform in dynamic and often high-stakes environments. This is a ...

GRVTY

Computer Vision Engineer - Senior

Springfield, VA · On-site

$109.30K - $150.10K/yr

... software specifications. • Support system development across all lifecycle phases including ... computer vision techniques. • Strong engineering fundamentals, including experience with Git ...

Babel Street

Image & Computer Vision AI Engineer

Reston, VA · On-site

$119.10K - $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.

AeroVironment

Software Engineer

Centreville, VA

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 ...

AeroVironment, Inc.

Software Engineer

Centreville, VA · On-site

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 ...

Toyon

AI/ML Software Engineer

Ashburn, VA

$110K - $190K/yr

Our software engineers work closely with our researchers and customers to create state-of-the-art ... Experience with Reinforcement Learning (RL), Large Language Models (LLMs), Computer Vision, other ...

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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 May 31, 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 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 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:
Computer Vision Software Engineer jobs near you
Infographic showing various Computer Vision Software Engineer job openings in Washington as of May 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $167,085 per year, or $80.3 per hour.

Computer Vision Engineer - Senior

GRVTY

Springfield, VA

$109.20K - $149.90K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

What Impact You'll Have:

Join a mission-focused team where your work truly matters. We are seeking a Senior Computer Vision Engineer to help build cutting-edge solutions that support critical national defense operations. This role combines hands-on development, system-level thinking, and close collaboration with cross-functional teams including software engineers, systems integrators, and program managers.

You'll be at the forefront of designing and deploying real-time computer vision systems that perform in dynamic and often high-stakes environments. This is a results-driven role within an ML-Ops environment focused on delivering production-ready solutions, processing large-scale data, and ensuring robust model deployment and performance in real-world conditions.

In this role, you will also contribute to full lifecycle systems engineering activities, ensuring the translation of mission requirements into scalable, effective, and supportable technical solutions across both software and integrated systems.

What You'll Be Owning:

• Design and implement advanced vision models for tasks such as object detection, tracking, scene understanding, and activity recognition.
• Collaborate with engineering teams to integrate vision capabilities into defense systems.
• Optimize performance for edge devices and embedded systems.
• Complete testing and validation of computer vision systems.
• Contribute to system architecture, technical strategy, and full lifecycle systems engineering activities.
• Perform technical planning, system integration, verification and validation, cost and risk analyses, and supportability and effectiveness assessments.
• Conduct functional analysis, timeline analysis, trade studies, requirements allocation, and interface definition to translate customer requirements into hardware and software specifications.
• Support system development across all lifecycle phases including concept, design, fabrication, test, installation, operation, maintenance, and disposal.
• Ensure the logical and systematic conversion of customer and product requirements into total systems solutions that account for technical, schedule, and cost constraints.
• Mentor junior engineers and help define best practices for the team.
• Maintain security and compliance throughout the development lifecycle.

What You Must Have:

• Active TS/SCI clearance with Polygraph eligibility.
• Bachelor's degree in Computer Science, Data Science, or a related field; equivalent experience will be considered.
• 9+ years of experience in computer vision, machine learning, or closely related fields.
• Proficiency in Python and its ecosystem, including frameworks and libraries such as Flask, SQLAlchemy, Boto3, NumPy, and Pillow, as well as deep learning tools such as PyTorch and TensorFlow; experience with Swift (OpenStack client) is also required.
• Proficiency in writing and optimizing SQL queries for data retrieval, analysis, and management.
• Experience with modern computer vision models such as YOLO, Faster R-CNN, and Vision Transformers.
• Familiarity with OpenCV and classical computer vision techniques.
• Strong engineering fundamentals, including experience with Git, Docker, and CI/CD practices.
• Experience with machine learning utilities such as MLflow, Optuna, and DVC.

What Would be Nice to Have:

• Experience supporting government or defense-related programs.
• 5+ years of experience developing Python scripts for data automation, process optimization, and machine learning workflow implementation.
• Knowledge of real-time video analytics, sensor fusion, or 3D perception.
• Experience working within secure or classified development environments.

#LI-CM1

Why Choose GRVTY

The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world.

We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.

At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.

• Robust health plan including medical, dental, and vision

• Health Savings Account with company contribution

• Annual Paid Time Off and Paid Holidays

• Paid Parental Leave

• 401k with generous company match

• Training and Development Opportunities

• Award Programs

• Variety of Company Sponsored Events

EEO Statement

GRVTY, is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.

Anyone requiring reasonable accommodations should email recruiting@grvty.com or call 703-544-7930 with requested details.  A member of the HR team will respond to your request within 2 business days. 

Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) 

Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.