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Full Time Computer Vision Jobs (NOW HIRING)

Woodhaven Furniture

CAD Technician

Coolidge, GA · On-site

Join Woodhaven Furniture as a Full Time CAD Technician and immerse yourself in an exciting, hands ... You will have benefits such as Medical, Dental, Vision, 401(k), Life Insurance, Competitive Salary ...

Bobyard, Inc

Head of Computer Vision

San Francisco, CA · On-site

$230K - $300K/yr

We've built a high-performing CV team attacking the most non-trivial problems in applied vision ... This is full-time & in-person in SF. Learning rate and dedication beat pedigree. If you can prove ...

Woodhaven Furniture

CAD Technician

Coolidge, GA · On-site

Join Woodhaven Furniture as a Full Time CAD Technician and immerse yourself in an exciting, hands ... You will have benefits such as Medical, Dental, Vision, 401(k), Life Insurance, Competitive Salary ...

Woodhaven Furniture

CAD Technician

Coolidge, GA

Join Woodhaven Furniture as a Full Time CAD Technician and immerse yourself in an exciting, hands ... You will have benefits such as Medical, Dental, Vision, 401(k), Life Insurance, Competitive Salary ...

The Pennsylvania State University

$86K - $164K/yr

POSITION SPECIFICS We are seeking a Computer Vision Engineerto join the Image Science and Computer ... full-time employees designed to support both personal and professional well-being. In addition to ...

Codvo.ai

$203K/yr

Edge AI Architect - CUDA / C++ / Computer Vision Experience Level: 10+ Years Department: Edge AI ... Employment Type: FULL_TIME

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Full Time Computer Vision information

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$33.5K

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How much do full time computer vision jobs pay per year?

As of Jun 20, 2026, the average yearly pay for full time computer vision in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by computer vision engineers working full-time, and how can they be addressed?

Full-time computer vision engineers often encounter challenges such as handling large and complex datasets, ensuring model accuracy in diverse real-world conditions, and keeping up with rapidly evolving technologies. Collaborating closely with data scientists, software engineers, and product teams is essential to align solutions with business goals and deploy models effectively. Staying updated through continuous learning and leveraging open-source tools or frameworks can help address these challenges and foster professional growth.

What is a Full Time Computer Vision job?

A Full Time Computer Vision job involves working as a specialist in developing systems and algorithms that enable computers to interpret and understand visual information from the world, such as images or videos. Professionals in this field typically design, implement, and optimize computer vision models for tasks like object detection, facial recognition, image segmentation, and video analysis. These roles are commonly found in industries like technology, healthcare, automotive, and robotics, and often require strong programming skills, experience with machine learning frameworks, and a background in mathematics or engineering. Full time positions mean employees work regular hours and receive benefits typical of permanent staff roles.

What are the key skills and qualifications needed to thrive as a Full Time Computer Vision Engineer, and why are they important?

To thrive as a Full Time Computer Vision Engineer, you need a strong background in mathematics, programming (especially Python or C++), and experience with image processing or machine learning, usually supported by a degree in computer science or a related field. Familiarity with frameworks like OpenCV, TensorFlow, or PyTorch, as well as experience deploying models on various platforms, is highly valued. Problem-solving ability, attention to detail, and effective teamwork are essential soft skills for success in this role. These competencies enable engineers to develop, optimize, and implement innovative vision-based solutions that meet real-world challenges.
More about Full Time Computer Vision jobs
What are the most commonly searched types of Computer Vision jobs? The most popular types of Computer Vision jobs are:
What states have the most Full Time Computer Vision jobs? States with the most job openings for Full Time Computer Vision jobs include:
What job categories do people searching Full Time Computer Vision jobs look for? The top searched job categories for Full Time Computer Vision jobs are:
Full Time Computer Vision jobs near you
Infographic showing various Full Time Computer Vision job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 15% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.
Senior Software Engineer, Computer Vision

Senior Software Engineer, Computer Vision

Knightscope

Sunnyvale, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

Salary: $175,000 to $210,000 (DOE)

About Knightscope

Knightscope is a security technology company building the Nations First Autonomous Security Force. The Company combines autonomous machines, advanced software, and human expertise to help protect people, property, and critical infrastructure. Knightscopes long-term mission is to make the United States of America the safest country in the world.


About the Role

We are looking for a Senior Software Engineer to design, develop, and deploy computer vision systems that turn continuous video, audio, and sensor streams into reliable security intelligence. Your work will directly impact the safety and operational effectiveness of deployed security platforms across hundreds of real-world sites. You will collaborate with embedded, cloud, and product teams to deliver perception capabilities that power real-time threat detection and response.


Location Requirement: Full-time, on-site at Sunnyvale HQ (no relocation provided)


Key Responsibilities

  • Design and own the end-to-end ML pipeline for security perception: data ingestion, annotation, model training, evaluation, and deployment across edge and cloud targets.
  • Develop and deploy computer vision models for real-time security intelligence, spanning detection, tracking, recognition, and classification, on embedded GPU hardware.
  • Build and maintain data flywheel and active learning pipelines that leverage fleet-scale production data to drive continuous model improvement.
  • Optimize and deploy models to edge hardware using TensorRT, INT8/FP16 quantization, and hardware-aware model design for NVIDIA Jetson platforms.
  • Define evaluation frameworks and metrics to measure model performance in production, identify failure modes, and drive reliability improvements.
  • Collaborate with embedded, cloud, and product teams to integrate perception outputs into the security incident pipeline.
  • Support on-robot integration, debugging, and validation in real-world environments


Required Qualifications

  • 5+ years shipping computer vision or ML systems to production in physical security, video analytics, surveillance, automotive, or robotics domains.
  • Deep expertise in one or more areas: object detection, video analytics, multi-camera tracking, audio classification, or edge AI inference.
  • Strong ML engineering in Python and C++ with hands-on experience in PyTorch or TensorFlow, model optimization, and production deployment.
  • Understanding of camera systems, image processing, ISP pipelines, and sensor characteristics as they affect model design and performance.
  • Experience deploying ML models on embedded GPU platforms such as NVIDIA Jetson or equivalent under real-world latency and power constraints.

Preferred Qualifications

  • Experience with GPU-accelerated video analytics frameworks such as NVIDIA DeepStream or equivalent.
  • Familiarity with camera SoC hardware, ISP pipelines, and system-level trade-offs for edge AI.
  • Background in active learning, data flywheel design, or large-scale dataset curation for production CV systems.
  • Familiarity with VLM or multimodal AI approaches for scene understanding and anomaly detection in security contexts.
  • Familiarity with cloud ML infrastructure: training orchestration, model registries, and OTA model deployment for fleet systems.
  • MS or PhD in Computer Science, Electrical Engineering, Machine Learning, or related field.

Compensation & Benefits

  • Base Salary:$175,000 to $210,000 base (DOE)
  • Equity:Stock options
  • Benefits:Medical, dental, vision, 401(k), paid time off
  • Location Requirement:Full-time, on-site at Sunnyvale HQ