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Computer Vision Startup Jobs (NOW HIRING)

ABOUT THE JOB Computer Vision Engineers on Anduril's Frontier AI team build edge-compatible systems ... Experience working in high-ownership startup environments or defense technology organizations

New

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 ...

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 ...

Hardware Engineer

Cambridge, MA · On-site

$90 - $120/hr

Engineering About Tristar AI Tristar AI is a cutting-edge computer vision startup transforming quality control and safety in manufacturing through scalable, AI‑driven defect detection systems. Our ...

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 ...

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 ...

Showing results 21-40

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.

Senior Computer Vision Engineer

Anduril Industries

Washington, DC • On-site

$118K - $162K/yr

Full-time

Posted 16 days ago


Anduril rating

9.1

Company rating: 9.1 out of 10

Anduril

Based on 17 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 76,674 frontline employees who took The Breakroom Quiz


Job description

ABOUT THE TEAM

Anduril's Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. Anduril's Frontier AI team builds edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy. 

ABOUT THE JOB

Computer Vision Engineers on Anduril's Frontier AI team build edge-compatible systems that transform Lattice's complex multi-sensor inputs into accurate, actionable understanding of the world. We integrate ambitious ML and CV algorithms directly into the Lattice platform to increase the fidelity, accuracy, and usefulness of battlefield awareness. These systems improve the experience of Anduril's existing customers, aid in the scaling of our business to new customers, use-cases, and business lines, and they create high-quality snapshots of the world that autonomous and agentic systems can operate on top of.

WHAT YOU'LL DO
  • Design, train, and deploy computer vision and perception models for edge-compatible, mission-critical environments
  • Build multi-sensor perception systems that fuse imagery, video, and other sensor data into coherent views of the battlefield
  • Improve the fidelity, accuracy, and robustness of Lattice's understanding of objects, activities, and environments across varied operational conditions
  • Integrate state-of-the-art machine learning algorithms into production systems used by customers in real-world scenarios
  • Develop mission-relevant evaluation frameworks, datasets, and benchmarks to measure perception performance in the field
  • Partner closely with software, autonomy, product, and deployment teams to turn research ideas into operational capabilities
  • Identify new perception and battlefield-understanding problems where advances in computer vision can unlock major product impact
REQUIRED QUALIFICATIONS
  • BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field
  • 5+ years of experience developing computer vision, perception, or machine learning systems in production or advanced research settings
  • Strong experience with deep learning, object detection, and object tracking frameworks
  • Strong programming skills in Python, with the ability to build reliable research and production workflows
  • Strong desire to invent, implement, test, and deploy novel techniques that vastly improve upon state-of-the-art public methods to solve research problem specific to
    the defense space
  • Experience training, evaluating, and iterating on vision models for detection, tracking, segmentation, classification, or sensor fusion tasks
  • Experience deploying or optimizing ML systems for constrained, real-time, or edge compute environments
  • Ability to work across the full lifecycle of applied ML, from problem formulation and data strategy through deployment and performance monitoring
  • Eligible to obtain and maintain an active U.S. Secret security clearance
PREFERRED QUALIFICATIONS
  • Advanced degree with a focus on computer vision, perception, robotics, or machine learning
  • Experience with multi-modal or multi-sensor fusion systems
  • Experience deploying deep learning models to embedded, edge, or air-gapped environments
  • Familiarity with real-time perception systems for autonomous platforms, defense applications, or other safety-critical systems
  • Experience building large-scale datasets, labeling pipelines, or benchmarking infrastructure for vision systems
  • Experience working in high-ownership startup environments or defense technology organizations
  • Prior experience with geospatial, ISR, EO/IR, radar, or other battlefield-relevant sensing modalities

Working at Anduril

About Anduril, in their own words

From Anduril

As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.


What Anduril employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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