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Computer Vision Startup Jobs (NOW HIRING)

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

... 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 ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

... 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 ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

... 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 ...

Matroid

Vision Application Technician

Palo Alto, CA

$35 - $40/hr

At Matroid, we're building an intuitive product that allows anyone to train and deploy computer ... You have experience at a high-growth technology startup. * You have a high-level understanding of ...

Matroid

Vision Application Technician

Palo Alto, CA · On-site

$35 - $40/hr

At Matroid, we're building an intuitive product that allows anyone to train and deploy computer ... You have experience at a high-growth technology startup. * You have a high-level understanding of ...

Matroid

Vision Application Technician

Palo Alto, CA · On-site

$35 - $40/hr

At Matroid, we're building an intuitive product that allows anyone to train and deploy computer ... You have experience at a high-growth technology startup. * You have a high-level understanding of ...

UVeye

CAD Engineer

Magna, UT · On-site +1

$60K - $80K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... Comfortable working in a fast-paced, evolving startup environment * Ability to incorporate feedback ...

UVeye

CAD Engineer

Phoenix, AZ · On-site +1

$60K - $80K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... Comfortable working in a fast-paced, evolving startup environment * Ability to incorporate feedback ...

UVeye

CAD Engineer

Fort Smith, AR · On-site +1

$60K - $80K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... Comfortable working in a fast-paced, evolving startup environment * Ability to incorporate feedback ...

UVeye

CAD Engineer

Phoenix, AZ · On-site +1

$60K - $80K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... Comfortable working in a fast-paced, evolving startup environment * Ability to incorporate feedback ...

UVeye

CAD Engineer

Denver, CO · On-site +1

$60K - $80K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... Comfortable working in a fast-paced, evolving startup environment * Ability to incorporate feedback ...

Robust.ai

Director of Perception

San Carlos, CA · On-site

$200K - $230K/yr

Background in both classical computer vision techniques and modern deep learning approaches * Track record of building teams and culture in fast-paced startup environments * Experience with edge ...

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All JobsComputer Vision Startup Jobs

Computer Vision Startup information

See salary details

$33.5K

$48.3K

$63.5K

How much do computer vision startup jobs pay per year?

As of Jun 25, 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 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.

What is a Computer Vision Startup job?

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.

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:
Computer Vision Startup jobs near you
Infographic showing various Computer Vision Startup job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $48,298 per year, or $23.2 per hour.
Staff Software Engineer - Computer Vision

Staff Software Engineer - Computer Vision

Array Labs

Redwood City, CA • On-site, Remote

Full-time

Posted 6 days ago

Job description

About Us

Array Labs is building a new way to understand the physical world.

Today, most geospatial systems are built around flat imagery, incomplete elevation models, slow refresh cycles, or narrow-area surveys. The world increasingly needs something better: accurate, frequently updated 3D information about the places, infrastructure, terrain, and activity that shape human decisions.

Array is building that system. We are developing a coordinated fleet of radar satellites designed to create high-resolution 3D data products of the Earth at unprecedented scale, speed, and reliability. Our technology is built to work across wide areas, through clouds, day and night, and to support both commercial and government customers operating in environments where timely physical-world understanding matters.

We design and build our satellites, radar payloads, sensing systems, and data products end-to-end. Our goal is to make 3D geospatial intelligence dramatically more accessible, useful, and operationally relevant for customers in mapping, infrastructure, disaster response, defense, intelligence, energy, telecommunications, mining, and other industries that depend on understanding the changing Earth.

 
About the Job
As a Staff Software Engineer for Computer Vision, you will develop and deploy across all of Array's 3D processing capabilities, including our photogrammetry and radar reconstruction pipelines. The work spans computer vision algorithms and production engineering: you should be equally comfortable reading a paper about unfamiliar algorithms, and shipping new capabilities as production-quality software. The position will work closely with 3D reconstruction scientists, radar algorithms engineers, and product engineers.
Responsibilities
  • Productionize and continuously improve Array's photogrammetry and radar image formation pipelines using industry best practices.
  • Step into individual pipeline stages — bundle adjustment, dense matching, point cloud generation, geometric refinement, geo-referencing — to improve accuracy, robustness, and throughput.
  • Develop and optimize database schemas and storage solutions for managing large-scale 3D geospatial data.
  • Contribute to broader software engineering efforts across the company, including data infrastructure, analytics, and systems to deliver our satellite data to customers.
Basic Qualifications
  • 5+ years of software engineering experience, with a substantial portion focused on computer vision.
  • Strong proficiency in Python and C++, experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (e.g. Docker, Kubernetes).
  • Strong foundation in geometric computer vision, spanning camera modeling, epipolar geometry, and multi-view reconstruction pipelines (stereo, SfM, MVS, bundle adjustment).
  • Excellent communicator, with the ability to make high-quality technical decisions in a startup environment.
Preferred Skills & Experience
  • Experience with geospatial concepts, remote sensing data, or robotics/autonomous vehicle sensor data
  • Familiarity with digital signal processing, radar algorithms, or SAR concepts
  • Familiarity with deep learning approaches to 3D vision (e.g. NeRF, 3D Gaussian Splatting, learned feature matching, or depth estimation)
  • Experience with C++ or CUDA for performance optimization
  • Ability to build visualization tools for geospatial or 3D data (Cesium, Three.js, or similar)
Compensation & Benefits
Our hiring and compensation strategy is simple: find uncommonly good people and pay them uncommonly well.
 
We offer high flexibility between salary and equity-based compensation. Final candidates can choose from three compensation mixes: low, medium, or high equity. Equity is a significant component of total compensation, and we aim to provide meaningful ownership for this role.
 
Full-time employees also enjoy a comprehensive benefits package including health, dental, vision, a 401(k) with company match, commuter benefits, and more.
 
 
Interview Process
We will conduct interviews via Google Meet with the potential for an onsite visit; the typical process takes around 3-5 weeks to complete from start to finish.
 
 
Why Join Array
At Array Labs, deep technical expertise meets relentless impact. We prioritize curiosity over hierarchy and bold engineering over incremental gains. Our world-class team across hardware engineering, software, and aerospace works collaboratively to push boundaries and move fast.
 
Our values:
  1. Build What Matters: Create technology that serves customers and advances humanity
  2. Innovate Together: Stay curious, collaborate openly, push boundaries as one team
  3. Employee Centric: Put our people first with a culture of trust, respect, and opportunity
  4. Join industry-leading experts to deliver unprecedented insights about our planet and build the future of Earth observation.
 
ITAR Requirements
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
 
Equal Opportunity Employer
Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status.
 
If you require a reasonable accommodation during the application or interview process, please let us know.