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Computer Vision Engineer Jobs in Frederick, MD (NOW HIRING)

Forterra

Perception Engineer

Clarksburg, MD · On-site

They are seeking talented Perception Engineers to contribute to the perception software stack by ... Computer Vision algorithm development Company : Forterra delivers autonomous mission systems for ...

MSD

Software Engineer

Gaithersburg, MD · On-site

$78.10K - $116.20K/yr

The position involves developing technical solutions that incorporate artificial intelligence (AI), machine learning (ML), computer vision, and IoT to solve complex scientific and engineering ...

Meso Scale Discovery

Software Engineer

Gaithersburg, MD · On-site +1

$78.10K - $116.20K/yr

The position involves developing technical solutions that incorporate artificial intelligence (AI), machine learning (ML), computer vision, and IoT to solve complex scientific and engineering ...

Axle

Data Scientist II

Rockville, MD

D. or Master's degree in Data Science, Computer Science, Biomedical Engineering, Bioinformatics, or a related field. * Proven experience in biomedical imaging analysis, AI, and computer vision ...

Axle

Computer Programmer

Rockville, MD

Benefits We Offer: * 100% Medical, Dental & Vision Coverage for Employees * Paid Time Off and Paid ... E practices. This role focuses on automation, CI/CD, and supporting modern workloads like AI/ML ...

Axle

Computer Programmer

Rockville, MD

Benefits We Offer: * 100% Medical, Dental & Vision Coverage for Employees * Paid Time Off and Paid ... E practices. This role focuses on automation, CI/CD, and supporting modern workloads like AI/ML ...

Axle

Computer Programmer

Rockville, MD · On-site

Benefits We Offer: * 100% Medical, Dental & Vision Coverage for Employees * Paid Time Off and Paid ... E practices. This role focuses on automation, CI/CD, and supporting modern workloads like AI/ML ...

Oshkosh Corporation

Sr. Engineer - Autonomy

Frederick, MD · On-site

$103.90K - $142.70K/yr

The Sr Engineer - Autonomy & Active Safety will provide design, development and integration support ... computer vision and sensor processing algorithms, graphical user interfaces, and inter-process ...

Oshkosh Corporation

Sr. Engineer - Autonomy

Frederick, MD

$103.90K - $142.70K/yr

The Sr Engineer - Autonomy & Active Safety will provide design, development and integration support ... computer vision and sensor processing algorithms, graphical user interfaces, and inter-process ...

Forterra

Perception Engineer

Clarksburg, MD · On-site

$130K - $180K/yr

This is an ideal role for engineers who enjoy bridging software development with hands-on testing ... Machine Learning, AI, or Computer Vision algorithm development US Salary Range $130,000-$180,000 ...

Evapco

CAD Drafter/Designer

Taneytown, MD · On-site

$50K - $60K/yr

Consults with Engineers and Project Coordinators to resolve design problems. * Ensures that ... Medical, Vision, & Dental Insurance * Employee Stock Ownership Program - we are an employee-owned ...

Evapco

CAD Drafter/Designer

Taneytown, MD

$50K - $60K/yr

Consults with Engineers and Project Coordinators to resolve design problems. * Ensures that ... Medical, Vision, amp; Dental Insurance * Employee Stock Ownership Program - we are an employee ...

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Computer Vision Engineer information

See Frederick, MD salary details

$48.2K

$120.8K

$136.7K

How much do computer vision engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for computer vision engineer in Frederick, MD is $120,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,900.00 and $130,700.00 per year, depending on experience, location, and employer.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

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

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and 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, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

More about Computer Vision Engineer jobs
What job categories do people searching Computer Vision Engineer jobs in Frederick, MD look for? The top searched job categories for Computer Vision Engineer jobs in Frederick, MD are:
What cities near Frederick, MD are hiring for Computer Vision Engineer jobs? Cities near Frederick, MD with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Frederick, MD as of May 2026, with employment types broken down into 2% Internship, 96% Full Time, and 2% Contract. Highlights an 88% In-person, 3% Hybrid, and 9% Remote job distribution, with an average salary of $120,819 per year, or $58.1 per hour.

NIST PREP Graduate Student in Computer Vision AI models for Additive Manufacturing Image Processing

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$37 - $38/hr

Part-time

Posted 21 days ago

Job description

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research Title: Computer Vision AI models for Additive Manufacturing image processing
The work will entail: The NIST Information Technology Lab (ITL) and Engineering Lab (EL) are collaborating on a project for real-time image processing for Additive Manufacturing. To handle real-time constraints, computations on Field Programmable Gate Array (FPGA) devices will need to be enabled, likely involving both traditional Computer Vision algorithms and Deep Learning models.
We plan on instrumenting a hard real-time system that can meet the time sensitive deadlines for detecting sparks from a high-speed camera that is monitoring the interaction between the melt pool and laser. There are three methodologies to consider.
  1. The camera contains a built-in FPGA that can process images as they are captured.
  2. The capture card has a slightly higher-end FPGA.
  3. The capture card can transfer image data into system memory, allowing the host system to process images using either the CPU, GPU, or a combination of both.

To this end, we are seeking a Computer Scientist who will focus on developing algorithms to process frames in real-time from a high frame rate camera. The processing algorithms may utilize the camera's built-in Field Programmable Gate Arrays (FPGA), the capture card's built-in FPGA, or traditional computer CPUs and GPUs.
Key responsibilities will include but are not limited to:
  • Develop image analysis algorithms that target the highspeed camera's FPGA.
  • Develop image analysis algorithms that target the capture card's FPGA.
  • Develop image analysis algorithms that target the traditional computer's CPU(s) and GPU(s).
  • Measure real-time throughput for developed image analysis workflows.
  • Create AI/Deep learning workflows for training AI models for analyzing images in a series.

Qualifications
  • A completed or in-process graduate degree in Computer Science, Engineering, Manufacturing, or a related field.
  • 1-2 years of relevant experience.
  • Familiarity with image analysis algorithms.
  • Familiarity with FPGA programming.
  • Familiarity with CPU and/or GPU image analysis.
  • Experience with AI/Deep learning workflows, such as LSTMs.
  • Ability to develop prototypes of tools needed to analyze data.
  • Strong oral and written communication skills.
  • US Citizen Preferred

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.
PREP0003758

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