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

... Engineer IV to serve as a principal technical authority for optical payload and image processing ... Design, simulate, and evaluate advanced image processing and computer vision algorithms for real ...

Software Engineer

Gaithersburg, MD · On-site

$78K - $116K/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 ...

Software Engineer

Gaithersburg, MD · On-site +1

$78K - $116K/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 ...

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 ...

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 ...

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 ...

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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 Jun 26, 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 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.

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 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 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 popular job titles related to Computer Vision Engineer jobs in Frederick, MD? For Computer Vision Engineer jobs in Frederick, MD, the most frequently searched job titles are:
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:

Image Processing Engineer III

Quantum Space

Rockville, MD • On-site

Full-time

Posted 24 days ago


Job description

Job Summary:
Quantum Space is a company focused on advanced optical payload and image processing applications. They are seeking an Image Processing Engineer III to serve as a principal technical authority, overseeing algorithmic deliverables and developing flight-ready computer vision algorithms for critical space missions.
Responsibilities:
• Technical Oversight: Serve as the primary technical point of contact monitoring a algorithmic development. Ensure deliverables meet rigorous mission requirements, timelines, and integration standards.
• Algorithm Development & Evaluation: Design, simulate, and evaluate advanced image processing and computer vision algorithms for real time object detection, tracking, and characterization.
• System Level Electro Optical (EO) Evaluation: Analyze and model sensor and optical system performance to determine feasibility and optimize hardware configurations for specific mission concepts.
• Algorithmic Transition & Scaling: Architect scalable algorithms that can pivot from initial point source tracking (Space Domain Awareness) to close range, resolved target processing (Rendezvous and Proximity Operations).
Qualifications:
Required:
• Master’s or Ph.D. in Aerospace Engineering, Electrical Engineering, Computer Science, Physics, Optical Sciences, or a related technical discipline.
• Deep expertise in image processing, computer vision, and pattern recognition (e.g., edge detection, feature extraction, filtering, and multi-target tracking).
• Strong proficiency in modeling and simulation environments (such as MATLAB, Python, or C++).
• Experience with Electro-Optical/Infrared (EO/IR) sensor modeling, radiometric budgets, and optical system performance metrics.
• Proven experience managing technical milestones and requirements with external vendors or subcontractors.
• Familiarity with space-based operational domains, orbital mechanics, or satellite subsystem constraints.
• 8 to 12+ years of progressive experience in image processing and computer vision engineering, preferably within the aerospace, defense, or space systems industry.
Preferred:
• Experience processing or integrating Active Optical sensors like LiDAR for 3D cloud mapping or relative navigation.
• Experience implementing algorithms on constrained flight hardware (FPGAs, GPUs, or embedded systems).
Company:
Quantum Space provides data buy services, deploys spacecraft, and performs space logistics for partners. Founded in 2021, the company is headquartered in Rockville, USA, with a team of 11-50 employees. The company is currently Early Stage.