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

MSD

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 ...

Meso Scale Discovery

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 ...

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 ...

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 ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Frederick, MD

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 Jul 20, 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 do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

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 engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

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.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
More about Computer Vision Engineer jobs
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:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Frederick, MD as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $120,819 per year, or $58.1 per hour.
Image Processing Engineer IV

Image Processing Engineer IV

Quantum Space

Rockville, MD

Other

Re-posted 16 days ago

Job description

Role Scope:
The Image Processing Engineer IV will serve as a principal technical authority for advanced optical payload and image processing applications. This role balances high level technical oversight of algorithmic deliverables with hands on development and evaluation of flight ready computer vision and image processing algorithms. The ideal candidate will bridge the gap between hardware capabilities (sensor/optics) and software execution, driving the autonomous processing capabilities for critical space missions.
 Key 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 & Competencies 
  • Required Education: Master's or Ph.D. in Aerospace Engineering, Electrical Engineering, Computer Science, Physics, Optical Sciences, or a related technical discipline. 
  • Core Technical Skills: 
    • 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.
  •  Soft Skills & Domain Expertise:
    • Proven experience managing technical milestones and requirements with external vendors or subcontractors. 
    • Familiarity with space-based operational domains, orbital mechanics, or satellite subsystem constraints. 
  • Preferred (Nice-to-Have): 
    • 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). 
  • Years of Experience
    • 8 to 12+ years of progressive experience in image processing and computer vision engineering, preferably within the aerospace, defense, or space systems industry. 

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