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Machine Vision Software Engineer Jobs in Washington

Software Engineer

Annapolis Junction, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

Software Engineer

Tysons, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

Software Engineer

Chantilly, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

Software Engineer

Alexandria, VA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop and implement statistical models, machine learning workflows, and geospatial analytics ... Medical, Dental, and Vision plans * Unlimited PTO * Federal Holiday Paid Leave * 12 weeks of paid ...

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop and implement statistical models, machine learning workflows, and geospatial analytics ... Medical, Dental, and Vision plans * Unlimited PTO * Federal Holiday Paid Leave * 12 weeks of paid ...

Software Engineer II

Herndon, VA · On-site

$100K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... 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 ...

Software Engineer II

Herndon, VA · On-site

$100K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... 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 ...

... 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 ...

The Software Engineer will leverage their strong technical background and knowledge to design ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

The Software Engineer will leverage their strong technical background and knowledge to design ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

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 ...

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 ...

Software Engineer

Columbia, MD · On-site

$75K - $113K/yr

Overview BigBear.ai is seeking a Software Engineer for a fast-paced, mission-focused team. You will ... Experience with machine learning and AI tooling platforms * Service containerization and deployment ...

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 ...

Showing results 21-40

Machine Vision Software Engineer information

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 Washington?

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

What cities in Washington are hiring for Machine Vision Software Engineer jobs?

Cities in Washington with the most Machine Vision Software Engineer job openings:

Machine Learning Engineer - Computer Vision

CaseGuard

Arlington, VA • On-site

Full-time

Re-posted 6 days ago


Job description

Job Summary:
CaseGuard is a software company that helps law enforcement agencies, federal agencies, hospitals, schools, airports, and others manage all their media redaction needs in one easy-to-use redaction software. They are seeking a highly skilled and motivated Machine Learning Engineer specializing in Computer Vision to develop and deploy machine learning models focused on image and video processing.
Responsibilities:
• Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition.
• Optimize and fine-tune deep learning algorithms for real-time performance.
• Work closely with the software engineers and product teams to identify opportunities for leveraging data.
• Collect, clean, and preprocess large datasets to prepare for model training and evaluation.
• Evaluate and optimize machine learning models for accuracy, performance, and scalability.
• Deploy models into production environments and monitor their performance to ensure reliability.
• Stay up-to-date with the latest advancements in computer vision and artificial intelligence.
• Collaborate with cross-functional teams to integrate machine learning solutions into business processes.
• Document processes, models, and implementations to ensure reproducibility and scalability.
Qualifications:
Required:
• Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Experience in deep learning models, their training, and hyperparameter tuning using libraries such as TensorFlow, PyTorch, and Transformers or other Huggingface tools.
• Experience with data manipulation tools such as Pandas, NumPy, and SQL.
• Strong programming skills in Python and C++.
• Experience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm.
• Proficiency in working with image and video data, including preprocessing and augmentation techniques.
• Strong understanding of machine learning algorithms, including supervised and unsupervised learning and deep learning.
• Strong communication skills and the ability to work collaboratively in a team environment.
Preferred:
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Experience with version control systems such as Git.
• Understanding software engineering best practices, including code review, testing, and documentation.
• Experience with Large Language Models (LLMs) is a great plus.
• Experience with data annotation tools and processes.
Company:
CaseGuard is a management solutions company. Founded in , the company is headquartered in Sterling, USA, with a team of 51-200 employees. The company is currently Growth Stage.