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Vision Systems Jobs (NOW HIRING)

Lyte

Senior Camera & Vision Engineer

Sunnyvale, CA · On-site

$150K - $300K/yr

We are looking for a Senior Camera & Vision Engineer to lead the development of camera-based perception in our robotics systems. This is a hands-on role for someone who deeply understands camera ...

TEEMA

Computer Vision Engineer

San Diego, CA · On-site

$125K - $130K/yr

Join a fast-moving team building real-time vision systems that power advanced tracking and simulation technology. In this role, you will design and implement computer vision solutions that track ...

The Bot Company

3D Vision

San Francisco, CA · On-site

$200K - $350K/yr

Engineering curiosity: you naturally dig into how systems work, even outside your specialty. * High ... Experience building 3D vision systems from scratch - not just using off-the-shelf libraries.

Sigma Design

Control Systems Engineer III

Kirkland, WA · On-site

$120K - $170K/yr

Control Systems Engineer III Sigma Design is a product development, engineering, and manufacturing ... We also offer voluntary benefits: vision, long-term disability, and life insurance. Position ...

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How much do vision systems jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for vision systems in the United States is $27.49, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $31.97 per hour, depending on experience, location, and employer.

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

To thrive in a Vision Systems role, you need a solid background in computer vision, image processing, and programming (often C++, Python, or MATLAB), typically supported by a degree in engineering, computer science, or a related field. Experience with machine vision hardware, deep learning frameworks (such as TensorFlow or PyTorch), and familiarity with industry standards like GigE or Camera Link is highly valued. Analytical thinking, attention to detail, and effective teamwork set top candidates apart. These skills ensure you can develop, implement, and troubleshoot vision solutions that meet accuracy and reliability requirements in diverse industrial or research settings.

What are the typical day-to-day responsibilities of someone working in Vision Systems?

Professionals in Vision Systems typically spend their days designing, developing, and testing machine vision solutions to solve real-world problems, such as automated inspection or object detection. This often involves programming algorithms, calibrating cameras and sensors, and collaborating closely with engineers or production teams to integrate systems into larger processes. You may also analyze test data, troubleshoot performance issues, and continuously refine models for improved accuracy. The nature of the role means you’ll work in a mix of office and lab environments, and effective teamwork is crucial for meeting project goals.

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Vision Systems jobs near you
Infographic showing various Vision Systems job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $57,186 per year, or $27.5 per hour.

Computer Vision & Machine Learning Engineer, Senior

Allen Control Systems

Austin, TX • On-site

$121K - $160K/yr

Full-time

Re-posted 16 days ago

Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup developing advanced technologies for autonomous systems. The Senior Computer Vision & Machine Learning Engineer will lead the development of computer vision algorithms and machine learning models for an autonomous gun turret, focusing on drone detection and tracking.
Responsibilities:
• Lead the 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.
• Mentor junior engineers and contribute to the overall growth of the machine learning and computer vision expertise within the company.
• 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.
Qualifications:
Required:
• 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 Engineering, or a related field, with a strong focus on machine learning and computer vision.
• 6+ 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 mentoring and collaborating with other engineers to solve complex technical challenges.
Company:
Allen Control Systems develops autonomous defense technologies designed to detect, track, and counter unmanned aerial threats. Founded in 2022, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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