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Computer Vision Engineer Jobs in Los Angeles, CA

Divergent

Industrial Robotics Engineer

Torrance, CA · On-site

... plus computer vision in robotic systems. As a key member of our team, you will contribute to the ... Collaborate with senior engineers to understand project requirements and contribute to the ...

Divergent

Senior Software Engineer, Robotics

Torrance, CA

$127K - $168K/yr

... plus computer vision in robotic systems. As a key member of our team, you will contribute to the ... Collaborate with senior engineers to understand project requirements and contribute to the ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Los Angeles, CA

Computer Vision Engineer information

See Los Angeles, CA salary details

$52.3K

$130.9K

$148.2K

How much do computer vision engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for computer vision engineer in Los Angeles, CA is $130,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,100.00 and $141,700.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

More about Computer Vision Engineer jobs

What are the most commonly searched types of Computer Vision Engineer jobs in Los Angeles, CA?

The most popular types of Computer Vision Engineer jobs in Los Angeles, CA are:

What are popular job titles related to Computer Vision Engineer jobs in Los Angeles, CA?

For Computer Vision Engineer jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Computer Vision Engineer jobs in Los Angeles, CA look for?

The top searched job categories for Computer Vision Engineer jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Computer Vision Engineer jobs?

Cities near Los Angeles, CA with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Los Angeles, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $130,934 per year, or $62.9 per hour.

Mission Software Engineer, Vehicle Software, Computer Vision

Anduril Industries

Costa Mesa, CA

Full-time

Re-posted 14 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 75,873 frontline employees who took The Breakroom Quiz

Job description

ABOUT THE TEAM

Air Dominance & Strike (AD&S) is responsible for autonomous robotics systems like the Fury unmanned fighter jet and the Barracuda family of advanced effects. The AD&S Vehicle Software team is responsible for the software running on these systems. Our software engineers collaborate with other engineering disciplines to develop software for vehicle control, networking, sensor integration, and telemetry. We are looking for engineers excited to build the foundational vehicle software stack that supports the wide range of AD&S initiatives, from early concept simulation to first flight to live operations to large scale fleet management.

ABOUT THE JOB

We are seeking a software engineer specialized in machine vision for development of guidance systems on a large air vehicle. Engineers in this role will primarily work on implementing novel image processing algorithms from various image sources and sensors.  These will be both conventional and state of the art machine learning approaches.  Additionally, the role requires the ability to work with other sensor sources and develop sensor fusion algorithms. 


WHAT YOU'LL DO

  • Integrate and write tests for camera calibration code 
  • Develop and refine algorithms for real-time image processing and analysis. 
  • Write, test, and maintain high-quality code in Python and C++. 
  • Optimize software for performance, reliability, and scalability 
  • Process and evaluate images from live tests used by camera systems in various flight conditions. 
  • Debug and troubleshoot software and hardware issues as they arise. 
  • Propose and implement improvements to enhance system performance and capabilities 
REQUIRED QUALIFICATIONS
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Mathematics, Physics, or related field. 
  • 4+ years of experience writing production software (C or C++ preferred). 
  • Direct experience with camera systems, calibration, and pose estimation. 
  • Experience working with IMUs and implementing state fusion algorithms. 
  • A desire to work on critical software that has a real-world impact 
  • Eligible to obtain and maintain a U.S. Top Secret security clearance 
PREFERRED QUALIFICATIONS
  • Experience with SLAM systems. 
  • Experience with estimation from RADAR or LIDAR systems. 
  • General exposure to aviation concepts and aircraft design principles. 
  • Experience working in airgapped environments (without network connectivity) 
  • Knowledge of defense technology and tactics, especially in the air domain 
  • Awareness of safety critical software development practices, including DO-178c and/or MIL-HDBK-516C. 

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

Social media

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