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Computer Vision Robotics Jobs (NOW HIRING)

Senior Robotics Engineer

Cambridge, MA · On-site

$114.20K - $156.80K/yr

We're building the world's first robotic hair-braiding system-integrating computer vision, robotics, compliant fiber manipulation, and novel mechatronic machines. This is one of the hardest unsolved ...

The role involves developing computer vision systems for autonomous landing and navigation ... robotics, autonomous vehicles, drones, or aerospace platforms • Experience working with real ...

Computer Vision Engineer Sr I

Naples, FL · On-site

$105K - $123.80K/yr

Stays up to date on the latest research in computer vision and robotics, and apply innovative techniques to improve perception systems * Exercises considerable latitude in determining objectives and ...

Computer Vision Engineer Sr I

Naples, FL · On-site

$105.10K - $124K/yr

... computer vision and robotics, and apply innovative techniques to improve perception systems • Exercises considerable latitude in determining objectives and approaches to assignment • May ...

Computer Vision Engineer Sr I

Naples, FL

$105K - $123.80K/yr

Stays up to date on the latest research in computer vision and robotics, and apply innovative techniques to improve perception systems * Exercises considerable latitude in determining objectives and ...

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career. * At least a master's degree in computer science, Electrical ...

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Computer Vision Robotics information

See salary details

$33.5K

$48.3K

$63.5K

How much do computer vision robotics jobs pay per year?

As of May 31, 2026, the average yearly pay for computer vision robotics 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 Robotics job?

A Computer Vision Robotics job involves developing algorithms and systems that enable robots to interpret and understand visual data from cameras and sensors. Professionals in this role work on tasks like object recognition, navigation, real-time decision-making, and automation. They use technologies such as machine learning, deep learning, and image processing to enhance robot perception. These jobs are commonly found in industries like manufacturing, healthcare, autonomous vehicles, and agriculture. Strong programming skills in languages like Python and C++, along with experience in frameworks like OpenCV and TensorFlow, are often required.

What are the key skills and qualifications needed to thrive in the Computer Vision Robotics position, and why are they important?

To thrive as a Computer Vision Robotics professional, you need a solid background in computer vision, robotics engineering, and proficiency with programming languages like Python or C++, often supported by a degree in computer science, engineering, or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), robotics middleware (like ROS), and hands-on familiarity with relevant hardware are highly valuable. Strong problem-solving abilities, creativity, and collaboration skills make candidates stand out in multidisciplinary teams. These skills are critical for designing and implementing innovative computer vision solutions that enable autonomous robotic systems to operate effectively in real-world environments.

What types of projects and challenges might I work on as a Computer Vision Robotics professional?

As a Computer Vision Robotics professional, you can expect to work on projects like developing autonomous navigation for robots, creating real-time object detection systems, or improving industrial automation through machine vision. Daily tasks often involve coding algorithms, integrating hardware and sensors, and testing robots in various operational environments. Common challenges include optimizing vision systems for accuracy and speed, ensuring robust performance in diverse real-world conditions, and collaborating with mechanical and electrical engineers. This field is dynamic and demands ongoing learning to keep up with advances in artificial intelligence, hardware, and automation techniques.
What cities are hiring for Computer Vision Robotics jobs? Cities with the most Computer Vision Robotics job openings:
What are the most commonly searched types of Computer Vision Robotics jobs? The most popular types of Computer Vision Robotics jobs are:
What states have the most Computer Vision Robotics jobs? States with the most job openings for Computer Vision Robotics jobs include:
Infographic showing various Computer Vision Robotics job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $48,298 per year, or $23.2 per hour.

Computer Vision & Machine Learning Engineer

Allen Control Systems

Austin, TX • On-site

$110.50K - $130.30K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 22 hours ago


Job description

Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems
Company Overview:
Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones.
With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact.
What You'll Do:
  • Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.
  • Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.
  • Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.
  • Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.
  • Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.

What You'll Need:
  • Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
  • At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
  • 4-7+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.
  • A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.
  • Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
  • Experience with embedded systems and integrating computer vision algorithms into hardware.
  • Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.
  • You enjoy collaborating with other engineers to solve complex technical challenges.

What We Offer:
  • Competitive salary
  • ACS Equity Package
  • Health, Dental, Vision Insurance
  • Paid Time Off

Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.