Computer Vision & Machine Learning Engineer - All Levels

Company OverviewACS (Allen Control Systems) is a defense technology company building precision robotic systems for the United States and its allies. Founded by two former U.S. Navy electrical engineers with deep experience in robotics and software, ACS brings together AI, computer vision, precision motion, and advanced hardware to solve complex defense challenges across land, air, and maritime environments.

Our flagship product, Bullfrog, is an autonomous precision weapon system that transforms existing weapons into highly accurate counter-drone systems — giving warfighters a scalable, cost-effective response to one of the fastest-growing threats on the modern battlefield. Bullfrog is deployed with U.S. forces, and ACS works with organizations throughout the U.S. military and national security community.

Following a $200 million Series B at a $2.2 billion valuation, ACS is rapidly expanding manufacturing, accelerating Bullfrog deployments, and developing the next generation of autonomous battlefield systems. This is an opportunity to join a proven, fast-moving team and help scale technology with direct, real-world impact on national security.

ACS is headquartered in Austin, Texas, with additional operations in Alexandria, Virginia; Mountain View, California; and Huntsville, Alabama. For more information, visit allencontrolsystems.com.

About The Role

We are looking for a Computer Vision and Machine Learning Engineer to develop and optimize the CV/ML systems at the core of our autonomous gun turret, with a focus on real-time drone detection, tracking, and classification. ACS is hiring across multiple experience levels for this role, from Associate through Senior Staff; your title and level will be determined based on your experience, skills, and scope of responsibility. You will work closely with electrical engineers to integrate vision systems into the turret’s hardware architecture and contribute to hardening the prototype into a military-grade system.

We’re hiring across multiple experience levels, including:

Associate CV/ML Engineer

CV/ML Engineer

Senior CV/ML Engineer

Staff CV/ML Engineer

Senior Staff CV/ML Engineer

What You’ll Do

• Develop and optimize computer vision algorithms for real-time drone detection, tracking, and classification on our autonomous gun turret.

• Design and implement machine learning models capable of operating in resource-constrained environments while maintaining high accuracy and reliability.

• Collaborate with electrical engineers to integrate computer vision systems into the turret’s hardware architecture; contribute to hardening the prototype into a military-grade system and developing variants for different weapon systems and engagement ranges.

• Conduct extensive testing and validation of CV algorithms across diverse scenarios to ensure robustness and performance under varying environmental conditions.

What You’ll Need

• 4+ years of experience in machine-learning-based computer vision, ideally in the context of robotics or autonomous systems; Bachelor’s degree or higher in Computer Science, Electrical Engineering, or a related field with a strong focus on ML and computer vision.

• Proven track record developing and deploying computer vision systems, ideally in real-time or safety-critical applications; deep passion for ML, computer vision, and robotics with roots that go back to early in your career.

• Proficiency in Python and C++; hands-on experience with ML frameworks such as PyTorch, TensorFlow, or similar.

• Experience with embedded systems and integrating CV algorithms into hardware; familiarity with sensors such as cameras, LiDAR, and radar and their integration into autonomous systems.

You’ll Stand Out

• Experience with object detection and tracking in challenging real-world conditions such as small targets, cluttered backgrounds, or low-contrast imagery.

• Background in defense, aerospace, or autonomous systems where performance and reliability requirements are non-negotiable.

• Experience deploying and optimizing models on edge hardware such as NVIDIA Jetson or similar embedded GPU platforms.

• Experience with multi-sensor fusion or integrating data from heterogeneous sensor modalities such as optical and infrared cameras.

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. #LI-AS1