A Comprehensive Guide to Computer Vision Engineer Salary

Who Is a Computer Vision Engineer?

Computer Vision Engineers, also known as CV Engineers or Machine Vision Engineers, develop hardware and software to process visual data and recognize objects and people. They use large volumes of data that can come through video feeds, digital signals, or analog images digitized by the computer to solve real-world problems. 

The Roles and Responsibilities of Computer Vision Engineers

The primary duty of a computer vision engineer is to research and implement machine learning and computer vision systems to create advanced techniques for clients or employers. They work closely with other professionals to help implement unique architectures in existing programs and machines. 

The key responsibilities of a computer vision engineer include:

• Collaborating with the Data Science team to research and implement various computer vision and deep learning models to solve problems.
• Adapting existing technology for performing tasks
• Using image processing to acquire, analyze, process and understand visual data like images
• Building new systems to improve the value of visual technology
• Improving their understanding of the application of visual recognition systems
• Reviewing and evaluating the output of engineering models to choose the most effective one

If you're interested in becoming a computer vision engineer, you'll need to have skills like:

• Bachelor's or Master's degree in computer science, computer engineering, machine learning, or related field
• Programming knowledge in Matlab, Python, Java, and C++
• Good understanding of computer vision and deep learning algorithms
• Experience working with ML frameworks like Tensorflow, Keras, and PyTorch

Computer Vision Engineer Salary (According to Location and Experience)

The job outlook for Computer Vision Engineers is very positive and will only improve in the coming years. The United States Bureau of Labor Statistics predicted that jobs for Computer and information research scientists will grow by 15% between 2019 and 2029. 

Currently, Computer Vision Engineer's Salary is quite high, with an average engineer in the US earning an average salary of 122,000 dollars per year.

However, the average Computer Vision Engineer's salary depends on various factors such as experience level, job role, skillset, country, and the organization they work for. In this section, we provide a breakdown of average Computer Vision Engineer salary in the US, the UK, and India. 

Computer Vision Engineer Salary in the US

According to Glassdoor, the average Computer Vision Engineer's Salary in the US is $110530 per year. The average pay is $82.05 per hour. As per Hired.com, the salaries of Computer Vision Engineers in the US range from a low of $100,000 to $250,000, with a median salary of $150,000.

• Fresher – Entry-level salaries for Computer Vision engineers in the USA start at $140,000.
• Experienced – Salaries for the most experienced Computer Vision Engineers in the USA can be up to $200,000 per year. 

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Computer Vision Engineer Salary in India

According to Glassdoor, the national average salary for a Computer Vision Engineer in India is ₹7,00,000 per year. The Computer Vision Engineer salaries in India range between ₹ 2.4 Lakhs to ₹ 21.6 Lakhs yearly. 

• Fresher - Entry-level salaries for Computer Vision engineers in India start at ₹987,500 per year.
• Experienced – Most experienced Computer Vision Engineers in India can earn up to ₹2,772,500 per year.

Computer Vision Engineer Salary in the UK

According to Glassdoor, the average Computer Vision Engineer Salary in the UK is £53,041 per year. The average salary for a Computer Vision Engineer in the London area is £57,938 per year. According to Hired.com, the salaries range from £56,293 to £146,382, with a median wage of £90,069 per year. 

• Fresher – a fresher Computer Vision Engineer with 1-4 years of experience, earns an average compensation of about £40,963. 
• Experienced – Most experienced Computer Vision Engineers in the UK can earn up to £72,000 annually.  

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Frequently Asked Questions

1. Is a computer vision engineer in demand?

Computer vision empowers computers to process visual data and even react to visual objects in real-time. With Machine Learning (ML) and Artificial Intelligence (AI) evolving exponentially, the demand for qualified Computer vision engineers is soaring higher than ever. There are over 60,000 job postings for Computer vision engineers alone in the US, and the figure is rising.   

2. What is a computer vision engineer?

A Computer Vision Engineer, also known as Machine Vision Engineer, is a highly specialized computer professional who creates hardware and software to process visual data and recognize objects and people. Computer Vision engineers use large volumes of data to solve real-world problems. The main duty of a computer vision engineer is to research and implement machine learning and computer vision systems to create advanced systems for their clients or employers. 

3. What is the highest engineer's salary?

The highest Computer Vision Engineer salary in India is ₹15,00,000 per year.

The highest Computer Vision Engineer salary in the USA can be $250,000 per year.

Some of the Highest paying cities for computer engineers in the US:

• New York, NY - $95,269 per year
• Jacksonville, Florida - $85,818 per year
• Austin, Texas - $84,976 per year
• Orlando, Florida - $82,628 per year
• Charlotte, NC - $79,733 per year

4. What is the salary of Nvidia?

Nvidia Corp is an American multinational tech company incorporated in Delaware and based in Santa Clara, California. They are the pioneers of accelerated computing to undertake challenges that are difficult to solve otherwise.

• The average Nvidia Computer Vision Engineer Salary in the US is $182,814 per year – which is 48% higher than the national average. 
• The average salaries at Nvidia Corp India range from ₹680639 to ₹4,097,294 per year.
• The average Nvidia Software engineer's salary ranges between ₹ 4.6 lakhs to ₹30 lakhs. 

5. Is computer vision challenging?

Computer vision lies at the intersection of Artificial Intelligence and Machine Learning and works on the concept that a computer can see as a human being. Computer vision is hard to implement because it is challenging to extract and represent a computer's vastness of human experience. What is even more difficult is to make the computer do complex visual tasks with the required computing and data resources.  

Thus, Computer Vision Engineers are highly specialized professionals who must possess extensive technical knowledge and be able to apply it in theory and real-life problems. 

6. What are the skills required by the computer vision engineer?

Key Skills required for Computer Vision Engineers include:

• Bachelor's or Master's degree in computer science, computer engineering, machine learning, or related field
• Strong Knowledge of Mathematics, Data Science, Calculus, Linear Algebra
• Programming knowledge in Matlab, Python, Java, and C++
• Proficiency in computer vision and deep learning algorithms
• Ability to develop image analysis algorithms
• Experience working with Machine Learning frameworks like Tensorflow, Keras, and PyTorch
• Understanding of data flow programming
• Database Management Skills
• Excellent Analytical Skills
• Software Engineering Experience
• Problem-solving skills – to break down large, complex problems into smaller ones. Manageable ones
• Excellent Communication Skills

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Final Thoughts

We have come to the end of this Computer Vision Engineer salary guide and with that we hope to have left you with a better understanding of the current and future potential of this job role. Not only is this a lucrative career choice, but data trends show that Computer Vision Engineers will find their earning opportunities growing significantly in years to come. Explore for best computer courses.

If you're interested in pursuing a career in computer vision or deep learning, you must begin by learning machine language and upgrading your skills before searching for a job and preparing for interviews. 

Whether you're new in the workforce, an early professional seeking new career paths, or an experienced pro trying to stay on top of things, upskilling in machine language can be your next best thing to do. Simplilearn’s AI ML Course can be the ideal launchpad to kickstart your career in AI, Computer Vision, Machine learning, or Deep Learning. The course is developed in collaboration with IBM and upon completing it successfully, you can add a prized certification from Purdue University and Simplilearn to your resume.