Computer Vision Engineer Job Description [Updated for 2025]

In today’s technologically advanced world, the role of a Computer Vision Engineer is becoming increasingly pivotal.

As technology continues to evolve, the demand for skilled individuals who can develop, enhance, and maintain our visual recognition systems intensifies.

But what exactly is expected from a Computer Vision Engineer?

Whether you are:

• An aspiring candidate trying to understand the nuances of this role,
• A hiring manager seeking to draft the perfect job description,
• Or merely fascinated by the intricacies of computer vision engineering,

You’ve come to the right place.

Today, we present a customizable Computer Vision Engineer job description template, designed for seamless posting on job boards or career sites.

Let’s dive right into it.

Computer Vision Engineer Duties and Responsibilities

Computer Vision Engineers are specialized in creating software and algorithms that can help a computer recognize and interpret its environment.

They work with artificial intelligence to develop systems that can perform tasks such as object recognition, event detection, and image restoration.

Their duties and responsibilities include:

• Designing and implementing effective computer vision algorithms
• Using computer vision and machine learning methodologies to solve specific problems
• Testing and debugging computer vision software
• Keeping up with the latest research in the field of computer vision and incorporating relevant findings into their work
• Developing software and systems that can process, analyze and interpret visual data
• Working with large datasets to train and optimize machine learning models
• Collaborating with other teams to integrate computer vision capabilities into broader systems
• Documenting all aspects of systems and algorithms for future reference and upgrades
• Ensuring the privacy and security of visual data

 

Computer Vision Engineer Job Description Template

Job Brief

We are searching for a highly skilled and dedicated Computer Vision Engineer to join our innovative team.

The Computer Vision Engineer will be responsible for the design and implementation of computer vision algorithms and systems.

This includes tasks such as image processing, object and pattern recognition, and 3D reconstruction.

The ideal candidate should have a deep understanding of computer vision principles, possess strong programming skills, and have experience with machine learning technologies.

 

Responsibilities

• Design and implement efficient computer vision algorithms
• Develop and maintain software related to image processing, object detection, and pattern recognition
• Create and optimize computer vision and machine learning algorithms
• Collaborate with engineering and product teams to integrate system solutions
• Conduct research and stay current with the latest technologies in computer vision
• Debug and fix issues in the existing computer vision system
• Prepare clear and concise written documentation for all software
• Test and validate computer vision solutions and improve performance over time

 

Qualifications

• Proven experience as a Computer Vision Engineer or similar role
• Proficient in programming languages such as Python, C++ or Java
• Experience with image recognition, tracking and 3D reconstruction
• Expertise in machine learning technologies and deep learning frameworks like TensorFlow or PyTorch
• Familiarity with computer vision libraries such as OpenCV
• Strong understanding of linear algebra, optimization, probability and statistics
• Experience with GPU computing and CUDA programming
• PhD or Master’s degree in Computer Science, Electrical Engineering, or related field is preferred

 

Benefits

• 401(k) with company match
• Comprehensive health, dental and vision insurance
• Flexible work hours with work from home options
• Continuing education and professional development opportunities
• Generous vacation and paid time off

 

Additional Information

• Job Title: Computer Vision Engineer
• Work Environment: This position is based in an office environment with potential for remote work. Occasional travel may be required for team meetings or conferences.
• Reporting Structure: Reports to the Director of Engineering or designated team lead.
• Salary: Salary will be determined based on candidate’s qualifications and experience, as well as market and business considerations.
• Location: [City, State] (specify the location or indicate if remote)
• Employment Type: Full-time
• Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• Application Instructions: Interested candidates are requested to submit their resume and a cover letter detailing their relevant experience to [email address or application portal].

 

What Does a Computer Vision Engineer Do?

Computer Vision Engineers typically work for technology companies, research institutions, or as independent consultants.

Their primary task involves developing and implementing computer vision algorithms and systems to process, analyze, and interpret visual data.

This could be for a variety of applications, such as autonomous vehicles, robotics, surveillance systems, and image recognition software.

Computer Vision Engineers work closely with other software engineers, data scientists, and machine learning engineers to ensure the integration of computer vision systems with other components of the product or solution.

They may be tasked with creating or modifying algorithms to detect, recognize, and track objects in digital images or video.

They also use machine learning and artificial intelligence to develop systems that can learn and improve over time.

Computer Vision Engineers often need to keep up with the latest research in the field to incorporate new techniques and technologies into their work.

Apart from development, they also need to test the efficiency and accuracy of their systems and troubleshoot any issues that may arise.

In some cases, they may also need to write technical reports and documentation, particularly in research-oriented roles.

 

Computer Vision Engineer Qualifications and Skills

Computer Vision Engineers utilize a set of specialized skills, qualifications, and knowledge to develop and implement computer vision and machine learning systems, such as:

• Strong programming skills, particularly in languages like Python, C++, and Java, to develop and implement computer vision algorithms and software.
• Understanding of machine learning and deep learning techniques, as they are commonly used in the field of computer vision.
• Proficiency in computer vision libraries like OpenCV, TensorFlow, and PyTorch for developing computer vision applications.
• Mathematical expertise, especially in areas such as linear algebra, probability theory, and statistics, which are crucial for understanding and developing computer vision algorithms.
• Problem-solving skills to identify and address any issues that may arise during the development, testing, and maintenance of computer vision systems.
• Good research skills to stay updated with the latest technological advances and breakthroughs in the field of computer vision.
• Strong communication and teamwork skills to effectively collaborate with other engineers and stakeholders, and to explain complex technical concepts in a clear and understandable manner.
• A firm understanding of image and signal processing techniques, which are fundamental in the field of computer vision.

 

Computer Vision Engineer Experience Requirements

Entry-level Computer Vision Engineer candidates typically have 1 to 2 years of experience, often gained through internships or part-time roles in the field of computer vision or related disciplines such as machine learning or image processing.

Candidates might have gained hands-on experience in areas such as object detection, image segmentation, and 3D reconstruction, and are familiar with computer vision libraries like OpenCV or platforms such as TensorFlow or PyTorch.

Candidates with more than 3 years of experience typically have deep technical expertise in computer vision technologies and algorithms.

They may have a track record of designing and implementing computer vision systems and are proficient in programming languages like Python, C++, or Java.

Those with more than 5 years of experience may also have leadership experience, possibly having led projects or teams in the development of computer vision solutions.

They might also be well-versed in integrating computer vision technology with other systems, such as robotics or IoT devices.

Roles with more complex demands, like designing and deploying computer vision systems at scale, usually require candidates to have advanced experience and a strong foundation in related areas like machine learning, deep learning, and artificial intelligence.

 

Computer Vision Engineer Education and Training Requirements

Computer Vision Engineers typically hold a bachelor’s degree in computer science, electrical engineering, robotics, or a related field.

They require extensive knowledge in computer vision, image recognition, machine learning, and deep learning.

A strong foundation in mathematics, specifically in linear algebra, calculus, and probability is essential.

Due to the specialized nature of the role, a master’s or PhD degree is often preferred.

These advanced degrees should ideally be in computer vision, artificial intelligence or a related discipline.

Knowledge and experience in programming languages like Python, C++, and Java is important.

They should also be proficient in using computer vision libraries such as OpenCV.

Some roles might require knowledge of hardware such as GPUs for developing and implementing vision algorithms efficiently.

Certification courses in machine learning, deep learning, and computer vision provide an added advantage.

These certifications can help demonstrate a candidate’s expertise and commitment to the field.

In addition to formal education and training, practical experience gained through internships, research projects, or work experience in the field can greatly enhance employability.

 

Computer Vision Engineer Salary Expectations

A Computer Vision Engineer earns an average salary of $112,816 (USD) per year.

The exact salary can depend on factors such as years of experience, educational qualifications, the industry in which they work, and the specific location of employment.

 

Computer Vision Engineer Job Description FAQs

What skills does a Computer Vision Engineer need?

Computer Vision Engineers should have a strong background in computer science and mathematics, with a focus on machine learning.

They should be proficient in programming languages such as Python, C++, and Java.

Experience in image processing, pattern recognition, and 3D geometry is also important.

A good understanding of deep learning frameworks like TensorFlow or PyTorch can be a significant advantage.

 

Do Computer Vision Engineers need a degree?

While it is possible to work as a Computer Vision Engineer without a degree, it’s quite uncommon.

Most employers expect candidates to have at least a Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.

A Master’s degree or Ph.D. in these fields, with a focus on computer vision or machine learning, can significantly boost a candidate’s prospects.

 

What should you look for in a Computer Vision Engineer resume?

A strong resume for a Computer Vision Engineer should highlight the candidate’s proficiency in programming languages such as Python and C++, as well as their experience with machine learning and deep learning frameworks.

They should also demonstrate a good understanding of image and video processing techniques.

Experience with specific projects or publications in the field of computer vision can also be a strong indicator of a candidate’s capabilities.

 

What qualities make a good Computer Vision Engineer?

A good Computer Vision Engineer is analytical, detail-oriented, and excellent at problem-solving.

They should be able to design and implement complex computer vision algorithms and have a strong understanding of machine learning principles.

Communication skills are also important as they often need to collaborate with other team members and explain their work to non-technical stakeholders.

 

Is it difficult to hire Computer Vision Engineers?

Hiring Computer Vision Engineers can be challenging due to the specialized nature of the role.

The field is relatively new, and there’s a shortage of professionals with the necessary combination of skills and experience.

Offering competitive salaries, opportunities for professional development, and stimulating projects can help attract top talent.

 

Conclusion

And there we have it.

Today, we have unveiled the true essence of being a computer vision engineer.

Surprise, surprise!

It’s not just about developing algorithms.

It’s about shaping the future of automation, one algorithm at a time.

With our easy-to-use computer vision engineer job description template and real-life examples, you’re ready to take the leap.

But why limit yourself?

Dig deeper with our job description generator. It’s your ideal companion for designing precision-crafted job postings or refining your CV to excellence.

Keep in mind:

Every algorithm contributes to the larger vision.

Let’s architect that future. Together.

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