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Computer Vision Startup Jobs (NOW HIRING)

A stealth computer vision & marketing SaaS startup within the UP.Labs portfolio is seeking a proven Lead Account Executive with a track record of excelling in early stage startup environments. As our ...

Computer Vision Engineer II

Lafayette, CO · On-site

$101K - $139K/yr

... startup with the support of an established manufacturer. This position is responsible for ... Professional or academic experience in computer vision or machine learning * Understanding of ...

WI · On-site

$140 - $180/hr

Senior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company ... Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy electrical ...

The Role We are looking for an exceptional Computer Vision Engineer to join our research team and ... You've worked in a fast-paced defense tech or deep-tech startup environment where field feedback ...

... in a startup environment. This is an opportunity to apply your cross-functional skillsets, creativity and experience in computer vision, machine learning, robotics and control systems to solve ...

... in a startup environment. This is an opportunity to apply your cross-functional skillsets, creativity and experience in computer vision, machine learning, robotics and control systems to solve ...

... in a startup environment. This is an opportunity to apply your cross-functional skillsets, creativity and experience in computer vision, machine learning, robotics and control systems to solve ...

Showing results 41-60

Computer Vision Startup information

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$33.5K

$48.3K

$63.5K

How much do computer vision startup jobs pay per year?

As of Sep 4, 2026, the average yearly pay for computer vision startup 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 computer vision startup?

A Computer Vision Startup job typically involves developing and deploying AI-powered solutions that enable machines to interpret and analyze visual data. Roles in this field may include research, software engineering, data annotation, and model training. Employees often work with deep learning frameworks, image processing techniques, and large datasets to improve computer vision algorithms. Since startups emphasize innovation, team members are expected to be adaptable, collaborative, and proactive in problem-solving.

What are some common day-to-day responsibilities for professionals working at a computer vision startup?

Day-to-day responsibilities at a Computer Vision Startup often include researching and prototyping new algorithms, training and evaluating deep learning models, and collaborating closely with multidisciplinary teams such as product managers and software engineers. You may also be involved in data collection, preprocessing, performance benchmarking, and deploying models to production environments. Regular participation in code reviews, sprint planning, and technical discussions is common. This dynamic environment encourages rapid iteration and creative problem-solving as you help bring innovative computer vision solutions to market.

What are the key skills and qualifications needed to thrive in the computer vision startup position, and why are they important?

To thrive in a Computer Vision Startup, a strong background in computer science, machine learning, and image processing, typically supported by experience with deep learning frameworks and advanced mathematics, is essential. Proficiency with tools such as Python, OpenCV, TensorFlow, and PyTorch, as well as experience with cloud platforms and MLOps, are typically required. Strong problem-solving abilities, adaptability, and effective communication skills are valuable soft skills for navigating the dynamic environment of a startup. These competencies enable rapid innovation, effective teamwork, and successful development of cutting-edge vision applications in a competitive tech landscape.

More about Computer Vision Startup jobs

What cities are hiring for Computer Vision Startup jobs?

Cities with the most Computer Vision Startup job openings:

What states have the most Computer Vision Startup jobs?

States with the most job openings for Computer Vision Startup jobs include:

What job categories do people searching Computer Vision Startup jobs look for?

The top searched job categories for Computer Vision Startup jobs are:

Infographic showing various Computer Vision Startup job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% 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.

Computer Vision & Robotics Software Engineer

Skyways

Austin, TX • On-site

Full-time

Re-posted 9 days ago


Job description

Job Summary:
Skyways is a fast-growing startup focused on building a new form of air transportation, specifically autonomous unmanned aerial vehicles (UAVs). They are seeking a Senior Software Engineer with expertise in computer vision and robotics to develop algorithms for autonomous flight and contribute to the company's core technology.
Responsibilities:
• Develop and implement computer vision and robotics algorithms for autonomous flight.
• Focus on landing zone evaluation and detect-and-avoid systems.
• Work with sensor data (e.g., IMUs) for non-GPS navigation.
• Collaborate with flight and mission planning teams.
• Contribute across the full software development lifecycle.
Qualifications:
Required:
• 5+ years of experience in developing, testing, and deploying algorithms for perception, navigation, or object interaction in real-world applications.
• Strong proficiency in C++ and/or Python.
• A solid understanding of sensor fusion principles and practical experience with diverse sensor types.
• Prior experience in aerospace, autonomous vehicles, or drone technology.
• Proactive problem-solver who thrives in a collaborative environment.
• Strong communication skills.
Preferred:
• Experience with embedded systems or real-time operating systems.
• A background in guidance, navigation, and control (GNC) systems.
• Familiarity with DevSecOps principles as they apply to robotics software deployment.
Company:
Skyways designs and manufactures long-range autonomous unmanned cargo aircraft systems for logistics and operational efficiency. Founded in 2017, the company is headquartered in Austin, USA, with a team of 11-50 employees. The company is currently Early Stage.