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Full Time Computer Vision Jobs (NOW HIRING)

Hp

C++ Engineer (Computer Vision/Embedded Systems)

Austin, TX

$130K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

C++ Engineer (Computer Vision/Embedded Systems) Description - Job Summary The C++ Engineer ... - Full time Shift - No shift premium (United States of America) Travel - Not Specified Relocation ...

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

As of Aug 19, 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 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?

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.

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.
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Full Time Computer Vision jobs near you
Infographic showing various Full Time Computer Vision job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% 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

Verkada

San Mateo, CA • On-site

$200K - $300K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 17 days ago

Job description

Who We Are
Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management.
We've got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation, more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it.
You can look at all kinds of communities to see our platform's impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that's alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We're rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries.
About the Role
At the forefront of innovation, the Computer Vision team develops the artificial intelligence and machine learning models that power Verkada's advanced analytics. Their responsibilities include creating and refining algorithms for features such as people and vehicle detection, license plate recognition, and other intelligent video analysis tools. Recent projects for this role include:
  • Implementing and deploying a binary classifier using TensorFlow for detecting the binary states across millions of cameras
  • Detecting unusual object addition/removal in a scene
  • Detecting and counting object and people frequencies
  • Training text image embedding models and vision language models
  • Training license plate recognition models and implementing LPR on the edge
  • Training facial recognition models and implementing real-time facial recognition
What You'll Do
  • C++ - writing clean, modular, C++ code
  • Traditional computer vision algorithms
  • Training deep learning networks using PyTorch, TensorFlow, Keras, or similar
  • Data structures and architecture
  • Must be willing and able to work onsite five days per week
What You Bring
  • Bachelor's Degree in Computer Science, preferably with research experience
  • 4+ years of industry software engineering experience
  • 1+ years of work or research experience with current neural net frameworks
  • Mastery of at least one practical programming language
  • Experience working in an agile team software development environment
US Employee Benefits
Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:
  • Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
  • Nationwide medical, vision and dental coverage
  • Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
  • Expanded mental health support
  • Paid parental leave policy & fertility benefits
  • Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
  • Professional development stipend
  • Fertility Stipend
  • Wellness/fitness benefits
  • Healthy lunches provided daily
  • Commuter benefits
Additional Information
  • We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.

Annual Pay Range
At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of restricted stock units (RSUs)
Below is the annual on-target earnings (OTE) range for full-time employees for this position, comprised of base compensation and commissions (if applicable).
Estimated Annual Pay Range
$200,000-$300,000 USD
Verkada Is An Equal Opportunity Employer
As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
Your application will be handled in accordance with our Candidate Privacy Policy.

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