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Machine Vision Application Engineer Jobs in Easton, MD

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CNO Application Developer

Annapolis, MD · On-site

$120K - $247K/yr

You will act as a CNO software engineer in an organization focused on discovery of opportunities ... Health, Dental, and Vision Insurance: Comprehensive coverage to keep you and your family healthy.

GliaCell Technologies

Cloud Software Engineer

Annapolis, MD · On-site

$180K - $230K/yr

... Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps ... Guardian Dental and Vision Coverage for Employee and Dependents * Up to 25 Days of Paid Time Off

Reflexive Concepts

AI/ML Engineer II

Annapolis, MD · On-site

... with application development, infrastructure management, data engineering, and data governance. Qualifications: * Five (5) years experience in applied machine learning in programs and contracts of ...

Albireo Energy

BAS Project Engineer

Gambrills, MD

$67K - $86K/yr

This includes sales to operations turnover, application engineering, programming, and field ... vision, mission, and objectives. * Support a culture based on open/honest dialogue and involvement ...

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All JobsMachine Vision Application Engineer JobsMachine Vision Application Engineer Jobs in Easton, MD

Machine Vision Application Engineer information

See Easton, MD salary details

$51.2K

$112.2K

$154.1K

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

As of Aug 11, 2026, the average yearly pay for machine vision application engineer in Easton, MD is $112,198.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,100.00 and $136,800.00 per year, depending on experience, location, and employer.

How does a machine vision application engineer typically collaborate with other departments during a project?

Machine Vision Application Engineers frequently work in cross-functional teams, collaborating closely with software developers, mechanical engineers, and production staff to ensure vision systems integrate seamlessly into manufacturing processes. They are often involved from the initial requirements gathering stage through to implementation and troubleshooting, providing technical expertise and translating complex imaging needs into practical solutions. Regular communication with quality assurance and operations teams is also common, as these engineers help fine-tune systems to maintain accuracy and efficiency on the production floor.

What is a machine vision application engineer?

A Machine Vision Application Engineer is a technical professional who designs, develops, and implements machine vision systems used for automated inspection, measurement, and guidance in manufacturing and industrial environments. They work with cameras, sensors, lighting, and image processing software to create solutions that help machines 'see' and interpret visual information. Their role often involves collaborating with clients to understand application requirements, selecting appropriate hardware and software, and ensuring successful system integration. Machine Vision Application Engineers play a key role in improving product quality, production efficiency, and automation processes.

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

To thrive as a Machine Vision Application Engineer, you need a solid background in engineering or computer science, experience with image processing, and a strong understanding of optics and camera technologies. Familiarity with machine vision software (such as Cognex, Halcon, or OpenCV), programming languages (like C++ or Python), and industrial automation systems is typically required. Strong problem-solving skills, effective communication, and project management abilities help you excel in client-facing and cross-disciplinary environments. These skills are crucial for designing, implementing, and supporting robust vision systems that meet manufacturing and automation needs.

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

AspectMachine Vision Application EngineerComputer Vision Engineer
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with vision systemsBachelor's or higher in Computer Science, Electrical Engineering, or related; strong programming skills
Work EnvironmentManufacturing, automation, quality control settingsResearch labs, tech companies, AI development environments
Industry UsageIndustrial automation, robotics, manufacturingAI, autonomous vehicles, image analysis
Common Search/ComparisonYesYes

While both roles involve image processing and vision systems, the Machine Vision Application Engineer focuses on implementing vision solutions in industrial settings, whereas the Computer Vision Engineer works on developing algorithms and AI models for broader applications like autonomous vehicles and AI research.

Machine Vision Application Engineer jobs near you

DSP Application Engineer

Annapolis Micro Systems, Inc.

Annapolis, MD • On-site

$100K - $200K/yr

Full-time

Re-posted 13 days ago

Job description

Do you find it satisfying to architect a proposed application, then follow it all the way through to deployment? Do you also relish the thought of dipping your fingers in multiple smaller applications, giving you a wider breadth of experience than you would have elsewhere? Annapolis Micro Systems combines the work variety of a small company with the thrill of working on the most advanced algorithms and technologies.
You will work on important, cutting-edge applications in electronic warfare, signals intelligence, radar, artificial intelligence, machine learning, and other emerging fields. Our products and systems are deployed in dozens of high-profile programs that have an important bearing on national security and computing technology.
Conceive, design, develop and test a wide range of complicated digital signal processing FPGA applications leveraging VHDL or our patented Open CoreFire Design Suite.
Responsibilities include working with the Sales Team to win programs, working with customers to understand requirements, architecting a robust system, designing and implementing customer algorithms, testing implementations using our industry-leading FPGA products, and aiding with the integration of deployed systems.
Join us and become part of the future of computing technology!
Essential Duties and Responsibilities
  • Architect FPGA-based parallel processing computing systems using Annapolis Micro Systems Products
  • Architect OpenVPX DSP systems using Annapolis Micro Systems products for applications such as Electronic Warfare (EW), Signals Intelligence (SIGINT), Synthetic Aperture Radar (SAR), Software Defined Radio (SDR), Artificial Intelligence (AI), Machine Learning (ML), and Digital Beamforming (DBF)
  • Program FPGAs for real-time DSP functions utilizing Analog-to-Digital Converter (ADC) front-ends, Digital-to-Analog Converter (DAC) back-ends, and High-Speed-Serial (HSS) IO
  • May be involved in working with high-performance Graphical User Interfaces (GUIs) using C / C++ / Java and graphics libraries
  • Design for FPGAs using VHDL or Open CoreFire Design Suite
  • Develop and implement Digital Signal Processing (DSP), communications, imaging, and other algorithms
  • Interact with customers regarding application development and application support tasks

Requirements
  • MS in Electrical or Computer Engineering or equivalent
  • U.S. Citizenship

Beneficial
  • Knowledge of digital design practices and methodology
  • Experience with Xilinx and Intel FPGAs and Design Tools
  • Experience with Matlab / Octave
  • Experience with C/C++/Java, with experience in graphics
  • Experience with VHDL or Verilog
  • Experience in OpenVPX, PCIe, VME/VXS
  • Experience with various communication protocols including Ethernet / Infiniband
  • Experience with DSP, processing data from ADCs, generating data to DACs
  • Experience with Machine Learning (ML), Artificial Intelligence (AI)
  • Knowledge or experience with Digital Beamforming Theory
  • Knowledge of or experience with Software Defined Radio (SDR), such as REDHAWK
  • Knowledge of or experience with Digital RF Memories (DRFMs)
  • Knowledge of or experience with VITA 49.2
  • Security Clearance (any level)

In compliance with local laws regarding pay transparency, the salary range for this role is $100,000/yr to $200,000/yr; however, Annapolis Micro Systems considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate's work experience, education/training, and key skills.

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