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Machine Vision Software Engineer Jobs in Washington

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 ...

Toyon

Senior Software Engineer

Ashburn, VA · On-site

$130K - $190K/yr

Understanding of software and systems engineering for multi-machine deployments * At least 1 year ... Dental and Vision Coverage Options * Paid Holidays * Paid Vacation and Sick leave * Company Funded ...

ManTech

Software Engineer

Fort George G Meade, MD · On-site

$141K - $236K/yr

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.

ManTech

Software Engineer

Fort George G Meade, MD

$141K - $236K/yr

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.

Cmu

AI Security Software Engineer

Arlington, VA · On-site +1

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the role of ... machine learning domains (e.g., natural language processing, computer vision, autonomy, audio ...

Cornerstone Defense

Software Engineer

Annapolis, MD · On-site

Medical, Dental and Vision Plans * Generous PTO Policy * 401(k) * HSA and FSA options * Life and ... Machine Learning, Stream, Batch * Virtualization Environments: Kubernetes, Containers (Docker ...

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)

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All JobsMachine Vision Software Engineer JobsMachine Vision Software Engineer Jobs in Washington

Machine Vision Software Engineer information

What engineer makes $500,000 a year?

A highly experienced Machine Vision Software Engineer working in specialized industries such as autonomous vehicles, aerospace, or advanced robotics can earn $500,000 or more annually. These roles often require advanced skills in computer vision, deep learning, and extensive experience, sometimes supplemented by leadership responsibilities or equity compensation.

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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and optimize AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex AI systems. AI is more likely to augment rather than fully replace MLE roles, which require expertise in data handling, model tuning, and deployment. Staying current with evolving AI frameworks and programming skills is important for MLEs to remain valuable in the field.

What does a machine vision engineer do?

A machine vision engineer designs and develops systems that enable computers to interpret and analyze visual data using cameras, sensors, and image processing algorithms. They often work with programming languages like C++ or Python, and tools such as OpenCV or MATLAB, to create applications for quality inspection, robotics, or automation. The role typically requires knowledge of computer vision, image processing, and sometimes machine learning or deep learning techniques.

What tech jobs pay $400,000 a year?

High-paying tech roles such as senior machine vision software engineers, AI researchers, and data science directors can reach or exceed $400,000 annually, especially with extensive experience, advanced skills in machine learning and computer vision, and leadership responsibilities. These positions often require advanced degrees, specialized certifications, and work in industries like autonomous vehicles, robotics, or large-scale AI development.
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 job categories do people searching Machine Vision Software Engineer jobs in Washington look for? The top searched job categories for Machine Vision Software Engineer jobs in Washington 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 Vision Software Engineer jobs near you

Software Engineer

Trinity ES LLC

Chantilly, VA • On-site

Full-time

Posted 4 days ago

Job description

OVERVIEW:
We are seeking a skilled Software Engineer to support the design, development, configuration, integration, and maintenance of complex SAP systems and custom solutions. This role involves working across multiple SAP modules, providing high-level troubleshooting, and ensuring solutions meet business and mission-critical requirements.
GENERAL DUTIES:
  • Design, develop, and configure custom applications and enhancements within SAP systems.
  • Integrate SAP solutions with other enterprise applications and data sources.
  • Provide Tier 3-level support for complex and escalated SAP technical issues, ensuring timely resolution and clear documentation.
  • Collaborate with business analysts, functional leads, and project managers to translate business requirements into technical specifications and solutions.
  • Optimize existing SAP code and participate in performance tuning, debugging, and system testing activities.
  • Partner with SAP Basis and Security teams to ensure system integrity, performance, and compliance with security policies.
  • Ensure all development efforts adhere to SAP best practices, established coding standards, and documentation requirements.

REQUIRED QUALIFICATIONS:
  • Bachelor's degree in Computer Science, Software Engineering, or a related field with 4-8 years of relevant experience, or Master's degree with 2-6 years of relevant experience.
  • Proven experience in the software engineering lifecycle, including design, development, testing, troubleshooting, and debugging of software for new and existing systems.
  • Proficient in software requirements analysis, software architecture, and hardware compatibility assessments.
  • Experience developing and maintaining infrastructure and platform-level software tools.
  • Strong knowledge of software development principles, standards, processes, and tools across the full software development life cycle (SDLC).
  • Demonstrated ability to work independently with significant impact on project deliverables and operational outcomes.
  • Effective communication skills and the ability to collaborate with cross-functional and client-facing teams.
  • Ability to develop complex solutions that require in-depth technical knowledge and collaboration with internal domain experts.

DESIRED QUALIFICATIONS:
  • Experience mentoring or reviewing the work of junior engineers; capable of leading technical processes or projects.
  • Strong understanding of Agile/Scrum methodologies and experience using Atlassian JIRA for project tracking.
  • Hands-on experience with one or more of the following programming languages or technologies:
    • Java, C++, Embedded Systems, Linux environments
  • Experience with cloud computing platforms, cloud architecture, and DevOps tools such as:
    • Docker, Jenkins, Continuous Integration pipelines
  • Knowledge or experience with AI and Machine Learning concepts and applications.
  • Familiarity with software testing methodologies and systems integration practices.
  • Experience in secure software development and compliance in software infrastructure projects.

CLEARANCE:
  • Top Secret/SCI with a Full Scope Polygraph

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