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Computer Vision Engineer Jobs in Raleigh, NC (NOW HIRING)

Senior Developer Technology Engineer - AI

Durham, NC · Hybrid

$52.75 - $69.50/hr

... Engineer, Artificial Intelligence! Would you enjoy researching parallel algorithms to accelerate AI ... Computer Vision, Recommender Systems, etc. * Excellent understanding of linear algebra. What ...

RESEARCH TECHNICIAN I

Durham, NC · On-site

$18 - $26.49/hr

... Engineering, Robotics, or a related field. • Strong interest in medical robotics, surgical robotics, computer vision, multimodal sensing, or image-guided intervention. • Experience with ...

Manufacturing Engineer

Morrisville, NC · On-site

$57K - $112K/yr

... computer vision, sensor fusion, and networking technology to the military in months, not years ... Anduril's Manufacturing team is seeking a Manufacturing Engineer to join our team to support ...

Manufacturing Engineer

Morrisville, NC · On-site

$57K - $112K/yr

... computer vision, sensor fusion, and networking technology to the military in months, not years ... Anduril's Manufacturing team is seeking a Manufacturing Engineer to join our team to support ...

Manufacturing Engineer

Morrisville, NC · On-site

$89K - $131K/yr

... computer vision, sensor fusion, and networking technology to the military in months, not years ... ABOUT THE TEAM Anduril's Manufacturing team is seeking a Manufacturing Engineer to join our team to ...

Machine Learning & Operations Engineer

Durham, NC · Remote

$71.10K - $96.20K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Experience with motion capture or computer vision systems * Familiarity with experiment tracking ...

Senior Industrial Engineer

Morrisville, NC · On-site

$40 - $54.75/hr

... computer vision, sensor fusion, and networking technology to the military in months, not years ... This team engineers the manufacturing solution to turn designs into prototypes rapidly, and ...

EDA Workflow Optimization Engineer

Durham, NC · Hybrid

$107.70K - $127.10K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Doing what's never been done before takes vision, innovation, and the world's best talent. As an ...

Machine Learning & Operations Engineer

Durham, NC · Remote

$67.20K - $90.80K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Experience with motion capture or computer vision systems * Familiarity with experiment tracking ...

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Computer Vision Engineer information

See Raleigh, NC salary details

$47.1K

$118.1K

$133.7K

How much do computer vision engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for computer vision engineer in Raleigh, NC is $118,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $127,800.00 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.

What are the most commonly searched types of Computer Vision Engineer jobs in Raleigh, NC? The most popular types of Computer Vision Engineer jobs in Raleigh, NC are:
What are popular job titles related to Computer Vision Engineer jobs in Raleigh, NC? For Computer Vision Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Raleigh, NC look for? The top searched job categories for Computer Vision Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Computer Vision Engineer jobs? Cities near Raleigh, NC with the most Computer Vision Engineer job openings:
Infographic showing various Computer Vision Engineer job openings in Raleigh, NC as of May 2026, with employment types broken down into 2% Internship, 94% Full Time, and 4% Contract. Highlights an 88% In-person, 3% Hybrid, and 9% Remote job distribution, with an average salary of $118,123 per year, or $56.8 per hour.
Senior Developer Technology Engineer - AI

Senior Developer Technology Engineer - AI

Nvidia

Durham, NC • Hybrid

$52.75 - $69.50/hr

Full-time

Posted 10 days ago


Job description

We're currently seeking a Senior Developer Technology Engineer, Artificial Intelligence! Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Is it rewarding to investigate, find, and eliminate system bottlenecks to achieve the best possible performance of computer hardware? Could you be thrilled about an opportunity to partner with the Developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, the Developer Technology Team invites you to consider this role.

What you will be doing:

  • In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.

  • Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure the best possible AI solutions on modern CPU and GPU architectures.

  • Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community.

  • Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

What we need to see:

  • A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or additional equivalent experience).

  • You have 8+ years of relevant work experience or research.

  • Programming fluency in C/C++ with a deep understanding of algorithms and software development.

  • A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.

  • Hands on experience doing low-level performance optimizations.

  • In-depth expertise with CPU and GPU architecture fundamentals.

  • Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.

Ways to stand out from the crowd:

  • Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc.

  • Excellent understanding of linear algebra.

What's DevTech? We are a global organization whose mission is to drive innovation we see in the market towards our products. As recognized specialists across many domains, our work makes valuable contributions in two important ways. Our solutions are at the cutting edge of technology, advancing NVIDIA's leadership in accelerated computing. Our discoveries generate findings that benefit the Developer Community and provides guidance to our engineering teams to help make our products better.NVIDIA's success in the advancement and availability of Artificial Intelligence has created incredible growth across the Company, and our Developer Technology Engineering team has been steadily growing to meet the demands for our services.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 21, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993