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Machine Vision Software Engineer Jobs in Ashburn, VA

Cymertek

Software Engineer

Tysons, VA · On-site

... Machine Learning Engineer, AI Engineer, Robotics Software Engineer, etc. DEGREE (Level Desired ... Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

Cymertek

Software Engineer

Chantilly, VA · On-site

... Machine Learning Engineer, AI Engineer, Robotics Software Engineer, etc. DEGREE (Level Desired ... Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

Quevera LLC

Software Engineer II

Herndon, VA · On-site

$100K - $137K/yr

... machine learning pipelines, fine-tune Vision-Language Models (VLMs), build AWS-based training ... As a Software Engineer II, you'll have the opportunity to work with cutting-edge AI technologies ...

Quevera LLC

Software Engineer II

Herndon, VA · On-site

$100K - $137K/yr

... machine learning pipelines, fine-tune Vision-Language Models (VLMs), build AWS-based training ... As a Software Engineer II, you'll have the opportunity to work with cutting-edge AI technologies ...

Fantom Corporation

Software Engineer

Chantilly, VA · On-site

... AI Platform (Computer Vision Models), Podcasting Media Services, and IT Services provider ... We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine ...

Anthem Engineering

Software Engineer

Chantilly, VA · On-site

Software developer roles and responsibilities include providing expertise in the full software ... machine. We're invested in your growth as an individual, technical and otherwise. Everyone has a ...

Anthem Engineering

Software Engineer

Chantilly, VA · On-site

Software developer roles and responsibilities include providing expertise in the full software ... machine. We're invested in your growth as an individual, technical and otherwise. Everyone has a ...

Anthem Engineering

Software Engineer

Chantilly, VA

Software developer roles and responsibilities include providing expertise in the full software ... machine. We're invested in your growth as an individual, technical and otherwise. Everyone has a ...

VTG

Software Engineer

Mclean, VA · On-site

Overview We are seeking a Software Engineer in McLean, VA to develop and maintain high-performance ... Demonstrated experience with machine learning libraries in Rust (e.g., rust-bert, linfa)

Trinity ES LLC

Software Engineer

Chantilly, VA · On-site

OVERVIEW: We are seeking a skilled Software Engineer to support the design, development ... Knowledge or experience with AI and Machine Learning concepts and applications. * Familiarity with ...

Xometry

Staff Software Engineer

North Bethesda, MD · Hybrid

We are looking for a Staff Software Engineer to join our core machine learning and data platform ... We also offer a competitive benefits package, including 401(k) match, medical, dental and vision ...

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Showing results 21-40

All JobsMachine Vision Software Engineer JobsMachine Vision Software Engineer Jobs in Ashburn, VA

Machine Vision Software Engineer information

See Ashburn, VA salary details

$64.9K

$150.9K

$210.1K

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

As of Aug 17, 2026, the average yearly pay for machine vision software engineer in Ashburn, VA is $150,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,700.00 and $176,900.00 per year, depending on experience, location, and employer.

What does a machine vision software engineer do?

A Machine Vision Software Engineer designs, develops, and maintains software systems that enable computers to interpret and process visual information from the real world. They work with cameras, sensors, and advanced algorithms to automate tasks such as inspection, identification, measurement, and guidance in industrial and robotics applications. Their responsibilities often include integrating hardware with software, optimizing image processing algorithms, and ensuring the accuracy and reliability of vision systems. These engineers play a crucial role in industries like manufacturing, automotive, healthcare, and logistics where automated visual inspection and analysis are essential.

What are some of the main challenges machine vision software engineers face when integrating vision systems into manufacturing environments?

Machine Vision Software Engineers often encounter challenges such as ensuring reliable image capture despite varying lighting conditions and accommodating different types of defects or product variations. Integrating vision systems with existing automation hardware and production lines can require close collaboration with mechanical, electrical, and process engineers. Additionally, optimizing algorithms for real-time performance while maintaining high accuracy is a frequent necessity. Continuous testing and iterative development are key to addressing these challenges and delivering robust solutions in dynamic manufacturing settings.

What are the key skills and qualifications needed to thrive as a machine vision software engineer, and why are they important?

To thrive as a Machine Vision Software Engineer, you need a solid background in computer science, image processing, and mathematics, usually backed by a relevant degree. Familiarity with programming languages such as Python or C++, machine vision libraries like OpenCV, and experience with deep learning frameworks are typically required. Strong problem-solving, attention to detail, and effective communication skills help engineers design robust solutions and collaborate with multidisciplinary teams. These competencies are crucial for developing accurate, efficient vision systems that meet real-world automation and quality control demands.

What is the difference between Machine Vision Software Engineer vs Computer Vision Engineer?

AspectMachine Vision Software EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in CS, EE, or related; experience with image processingBachelor's or Master's in CS, EE, or related; strong programming skills in Python, C++
Work EnvironmentManufacturing, robotics, quality inspectionAutonomous vehicles, AI research, multimedia applications
Industry UsageManufacturing, industrial automation, roboticsTech, automotive, research institutions
Search & Comparison IntentFocus on industrial and automation applicationsFocus on AI, perception, and multimedia systems

While both roles involve image analysis and programming skills, Machine Vision Software Engineers primarily work on industrial automation and manufacturing systems, whereas Computer Vision Engineers focus on AI-driven perception in autonomous vehicles, robotics, and multimedia applications. The roles overlap in skills but differ in application environments and industry focus.

What are popular job titles related to Machine Vision Software Engineer jobs in Ashburn, VA?

For Machine Vision Software Engineer jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Machine Vision Software Engineer jobs in Ashburn, VA look for?

The top searched job categories for Machine Vision Software Engineer jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Machine Vision Software Engineer jobs?

Cities near Ashburn, VA with the most Machine Vision Software Engineer job openings:

Machine Vision Software Engineer jobs near you
Infographic showing various Machine Vision Software Engineer job openings in Ashburn, VA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $150,858 per year, or $72.5 per hour.

NIST PREP Machine Vision and AI/ML Engineer

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$88K - $100K/yr

Full-time

Posted 10 days ago

Job description

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title: Machine Vision Engineer for PCB Inspection
The work will entail: NIST is investigating the performance of commercial and custom AI systems (hardware and software) for printed circuit board (PCB) inspection and manufacturing defect detection. The work will focus on conducting experiments, acquiring and analyzing data to understand these systems' performance, and generating data to train AI systems.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
  • Develop AI/ML based image processing pipelines using Python/Pytorch and other relevant software modules in collaboration with other NIST researchers.
  • Develop test rigs to acquire 2D and 3D images of PCBs and defective parts.
  • Research the effects of various physical properties of an object and sensor settings on the AI metrics.
  • Write reports and develop weekly presentations to discuss the progress of the project.
  • Perform a literature review and market research of relevant algorithms, hardware and

Qualifications
  • Education:
    • Engineering majors with a Ph.D or master's degree (Ex: Computer Science, Computer Engineering, Robotics, Electrical Engineering, and/or Mechanical Engineering)
  • PCB design and hardware:
    • Experience with PCB layout and design software such as KiCad, DipTrace
    • Experience with developing and inspecting PCBs
  • AI/ML and computer vision:
    • Experience using Python, PyTorch, and Tensorflow for developing AI/ML pipelines.
    • Experience with OpenCV, MVTec HALCON, or Matlab Computer Vision Toolbox.
    • Basic understanding of imaging sensors such as RGB and RGB-D cameras
    • Experience with computer vision algorithms to perform object detection, data augmentation, and 2D/3D pose estimation
    • Point cloud data processing, 2D and 3D imaging
  • Experience with physics engines such as Unity, Unreal Engine and MuJoCo.
  • Experience developing on both Windows and Linux
  • Experience with CAD software such as SolidWorks and OnShape

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0005091

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