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Computer Vision Startup Jobs in California (NOW HIRING)

Sapios

Computer Vision Engineer

Sacramento, CA · On-site

$121K - $143K/yr

Computer Vision Engineer Location: USA only. We're looking for a passionate Computer Vision ... Work in a fast-growing startup with traction across the US and Europe. * Collaborate with a team of ...

Arxlight

Computer Vision & Autonomy Engineer

Oakland, CA · On-site

$100 - $130/hr

Company Overview We are a rapidly growing technology startup focused on delivering next-generation ... As a Computer Vision & Autonomy Engineer , you will be joining the team responsible for the design ...

Dexterity

Senior Computer Vision Engineer

Redwood City, CA · On-site

$160K - $200K/yr

In this role at Dexterity, you will be working on writing Computer Vision code and building Machine ... Previous startup experience $160,000 - $200,000 a year Base pay is one element of our Total Rewards ...

Dexterity

Senior Computer Vision Engineer

Redwood City, CA · On-site

$160K - $200K/yr

In this role at Dexterity, you will be working on writing Computer Vision code and building Machine ... Previous startup experience $160,000 - $200,000 a year Base pay is one element of our Total Rewards ...

Homesight Inc

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 ...

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Computer Vision Startup information

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.

What are popular job titles related to Computer Vision Startup jobs in California?

For Computer Vision Startup jobs in California, the most frequently searched job titles are:

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

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

Computer Vision Startup jobs near you
Infographic showing various Computer Vision Startup job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Computer Vision Engineer

Sapios

Sacramento, CA • On-site

$121K - $143K/yr

Other

Medical

Posted 4 days ago

Job description

Sapios is building the future of automated driver evaluation systems. Our flagship invention – the Automated Road Test System (ARTS) – transforms an iPhone into a robotic driving examiner using computer vision, AI, and robotics. With deployments and paid pilots already underway with the Department of Motor Vehicles across US and Sweden, QTPIE is on a mission to make road testing safer, fairer, and more data-driven.


Our technology also has exciting applications in insurance, healthcare, and robotics – and we’re just getting started.


Role: Computer Vision Engineer

Location: USA only.


We’re looking for a passionate Computer Vision Engineer to join our core engineering team. You’ll work on algorithms that power the ARTS platform: from object detection and scene understanding to sensor fusion and behavioral analysis. Your work will directly impact how millions of drivers are tested and evaluated globally.


What You’ll Do


  • Design, implement, and optimize computer vision pipelines (object detection, lane detection, sign recognition, behavior recognition).
  • Develop methods to fuse data from multiple sensors (video, IMU, GPS, LiDAR).
  • Contribute to real-time inference systems on mobile devices (iPhone + GPU acceleration).
  • Collaborate with AI researchers and robotics engineers to integrate vision into the ARTS platform.
  • Work with large-scale datasets of driving behavior and create scalable training/evaluation pipelines.
  • Publish and present work internally and externally (patents, research collaborations).


What We’re Looking For


  • Strong background in computer vision, deep learning, or robotics.
  • Hands-on experience with PyTorch, TensorFlow, or ONNX.
  • Experience with object detection/tracking (YOLO, DETR, etc.) and scene understanding.
  • Solid programming skills in Python (C++/Swift is a plus).
  • Experience with real-time systems or edge deployment (CoreML, TFLite, ONNX Runtime, NVIDIA GPUs).
  • A problem-solver mindset: comfortable working on ambiguous, high-impact projects.


Bonus Points For


  • Experience in autonomous driving, ADAS, or driver monitoring systems.
  • Familiarity with sensor fusion (IMU, GPS, LiDAR + video).
  • Experience deploying ML pipelines to cloud environments (GCP, AWS, Azure).
  • Contributions to open-source projects in CV/ML.


Why Join Us?


  • Be part of a once-in-a-generation innovation redefining road safety.
  • Work in a fast-growing startup with traction across the US and Europe.
  • Collaborate with a team of AI, robotics, and medical innovators.
  • Flexible hybrid/remote setup.
  • Competitive salary + equity options.


How to Apply


Send your CV, portfolio/GitHub, and a short note about why you’d like to join QTPIE to ravi@sapios.io.


Sapios is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees.

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