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Senior Computer Vision Engineer Jobs in Durham, NC

Vadum Inc

AI Solutions Engineer

Raleigh, NC · On-site

The AI Solutions Engineer will own technical delivery from solution design through deployment ... Architect and build computer vision feature extraction, classification, and object detection ...

Direct Supply, Inc.

Staff Software Engineer

Durham, NC · On-site

In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and ... Technical expertise in AI integration across natural language processing, computer vision, and ...

Directsupply

Staff Software Engineer

Durham, NC · On-site

In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and ... Technical expertise in AI integration across natural language processing, computer vision, and ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural ... S. or Ph.D in engineering, math, computer science, or related field • Excellent technical ...

BotBuilt

Mechatronics Engineer

Durham, NC · On-site

... computer vision, optimization, mechanical design, pcb layout, and algorithm design. What you'll do ... Your qualifications We seek a dedicated and innovative mechatronics engineer with 3-5 years of ...

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All JobsComputer Vision Engineer JobsSenior Computer Vision Engineer JobsSenior Computer Vision Engineer Jobs in Durham, NC

Senior Computer Vision Engineer information

See Durham, NC salary details

$57.5K

$122.3K

$177.3K

How much do senior computer vision engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for senior computer vision engineer in Durham, NC is $122,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,000.00 and $138,700.00 per year, depending on experience, location, and employer.

What is a senior computer vision engineer?

Senior Computer Vision Engineers are experienced professionals who design, develop, and optimize computer vision algorithms and systems. They typically work on advanced projects involving image and video analysis, object detection, facial recognition, and related technologies. These engineers often lead teams, set technical direction, and collaborate with other departments to integrate computer vision solutions into products or services. Their role requires strong expertise in programming, machine learning, and mathematics, as well as staying current with the latest research in the field.

What are some common challenges faced by a senior computer vision engineer when deploying models to production environments?

One common challenge for Senior Computer Vision Engineers is ensuring that models perform reliably in real-world conditions, which often differ significantly from controlled training datasets. Handling variations in lighting, angles, and image quality can impact model accuracy, requiring ongoing data collection and retraining. Additionally, optimizing models for efficiency and latency is crucial when deploying to edge devices or cloud platforms, and collaboration with DevOps and software engineering teams is essential to integrate solutions seamlessly into production pipelines.

What is the difference between Senior Computer Vision Engineer vs Computer Vision Engineer?

AspectSenior Computer Vision EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's/PhD in CS, Electrical Engineering, or related field; experience in computer visionBachelor's or higher in relevant field; similar experience levels
Work EnvironmentAdvanced projects, mentorship roles, leadership responsibilitiesDevelopment and implementation of computer vision algorithms, research, and prototyping
Employer & Industry UsageTech companies, automotive, robotics, healthcareStartups, research labs, tech firms, manufacturing

The main difference between a Senior Computer Vision Engineer and a Computer Vision Engineer lies in experience and responsibilities. Senior roles typically involve leadership, mentorship, and complex project management, while standard roles focus on developing and implementing algorithms. Both positions require similar educational backgrounds and industry experience, but senior engineers often handle more strategic tasks and oversee projects.

What are the key skills and qualifications needed to thrive as a senior computer vision engineer?

To thrive as a Senior Computer Vision Engineer, you need a deep understanding of computer vision algorithms, strong programming skills (especially in Python or C++), and a background in mathematics or related fields, often supported by a master's or PhD. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or OpenCV), and experience with version control systems are typically required. Exceptional problem-solving abilities, effective communication, and leadership skills help in collaborating with teams and driving innovation. These skills ensure the development of robust vision solutions, efficient project execution, and alignment with organizational goals.
What are popular job titles related to Senior Computer Vision Engineer jobs in Durham, NC? For Senior Computer Vision Engineer jobs in Durham, NC, the most frequently searched job titles are:
What job categories do people searching Senior Computer Vision Engineer jobs in Durham, NC look for? The top searched job categories for Senior Computer Vision Engineer jobs in Durham, NC are:
What cities near Durham, NC are hiring for Senior Computer Vision Engineer jobs? Cities near Durham, NC with the most Senior Computer Vision Engineer job openings:
Senior Computer Vision Engineer jobs near you
Infographic showing various Senior Computer Vision Engineer job openings in Durham, NC as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $122,293 per year, or $58.8 per hour.

AI Solutions Engineer

Vadum Inc

Raleigh, NC • On-site

Full-time

Re-posted 23 days ago

Job description

Description:

Since 2004, Vadum has built a brand known for practical innovation that delivers solutions to customers in the competitive field of national defense research and development.


We are seeking a talented and innovative AI Solutions Engineer to join our dynamic team. In this role, you will be responsible for designing, building, and deploying general AI solutions. The ideal candidate will be a generalist and have broad experience in Large Language Models (LLMs), agentic AI, and computer vision. This role sits at the intersection of engineering, product, and customer success, ideal for someone who can solve complex technical problems while working directly with customers to deliver high-impact pilot programs and integrations.


The AI Solutions Engineer will own technical delivery from solution design through deployment, helping customers adopt next-generation AI capabilities while shaping best practices and product evolution. If you are passionate about artificial intelligence and enjoy solving complex technical challenges, we invite you to become a part of our forward-thinking organization.


Key Responsibilities


Solutions Design & Development

  • Architect and build LLM-enabled workflows, generative-AI pipelines, and custom integrations.
  • Architect and build computer vision feature extraction, classification, and object detection pipelines.
  • Develop prototypes, proof of concept, and small-scale pilot systems aligned with customer use cases.
  • Collaborate with product and research teams to translate requirements into scalable, production-ready solutions.

Customer Integration & Deployment

  • Lead technical discovery, solution scoping, and integration planning with customer engineering teams.
  • Deploy AI pilots into customer environments (cloud, on-prem, hybrid).
  • Build and support data ingestion pipelines, API integrations, agent frameworks, and evaluation systems.
  • Troubleshoot technical issues and guide customers through adoption and operationalization.

Technical Support & Enablement

  • Provide hands-on technical guidance to customers during pilot and post-deployment phases.
  • Develop documentation, reference architectures, and repeatable implementation patterns.
  • Train customer teams on best practices for general AI systems and workflow integration.
  • Serve as the technical advocate for customers internally and influence future product direction.

Cross-Functional Collaboration

  • Work closely with engineering to relay customer feedback, edge cases, and new integration requirements.
  • Partner with sales and customer success to support pre-sales demos, solutioning, and scoping discussions.
  • Contribute to internal and external technical materials (whitepapers, demos, templates).
Requirements:

Skills and Qualifications


Required:

  • Ability to obtain Security Clearance.
  • Bachelor's degree or higher in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • 7+ years of experience in software engineering, ML engineering, or solutions engineering.
  • Hands-on experience with LLM pipelines and workflows as well as computer vision feature extraction, classification, and object detection.
  • Strong Python skills and familiarity with AI/ML libraries (PyTorch, TensorFlow, LangChain, LlamaIndex, etc.).
  • Experience deploying AI applications via cloud platforms (AWS, GCP, Azure) or on-prem environments.
  • Demonstrated success delivering customer-facing pilots, proofs of concept, or integrations.
  • Excellent communication skills with the ability to translate technical concepts to diverse audiences.

Preferred:

  • Familiarity with MLOps workflows, CI/CD, containerization (Docker/Kubernetes).
  • Background in enterprise data systems or API-first architectures.
  • Previous technical consulting or field engineering experience

Work Environment

Work is performed in an office environment.


Travel

Occasional travel may be required.


What You'll Bring

  • A builder mindset with the ability to deliver end-to-end AI solutions.
  • Comfort working with ambiguity and inventing new workflows using emerging tools.
  • The ability to collaborate cross-functionally and drive successful customer outcomes.
  • Passion for generative AI and a desire to shape how organizations adopt it.

Join our innovative team and be part of a company that values technological excellence, continuous learning, and professional growth. We offer a collaborative work environment, competitive benefits, and opportunities to work on cutting-edge projects.


EEO Statement

Vadum, Inc. is an equal opportunity affirmative action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, age, genetic trait, sexual orientation, national origin, disability status, or any other characteristic protected by law.


Vadum, Inc. is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact the Human Resources Manager at (919) 341-8241 ext.: 180.