Staff Computer Vision & Machine Learning Engineer

Allen Control Systems; Mountain View (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive salary

Equity package

Health, dental, vision insurance

Paid time off

Job summary

Allen Control Systems is seeking a Staff Level Computer Vision and Machine Learning Engineer to lead the development and optimization of CV/ML systems for our autonomous gun turret. You will focus on real-time drone detection, tracking, and classification, working with electrical engineers to integrate CV into the turret hardware and advance prototypes toward military-grade readiness.

The role requires extensive experience in ML-based CV, a track record in senior CV/ML deployment, and hands-on

Qualifications

• 10+ years in ML-based CV, preferably in robotics.
• Senior-level CV/ML deployment experience.
• Real-time or safety-critical applications experience.
• Embedded systems with CV integration experience.

Responsibilities

• Develop and optimize CV/ML for autonomous gun turret.
• Create ML models for real-time drone detection, tracking, classification.
• Collaborate with electrical engineers to integrate CV into hardware.
• Test and validate CV algorithms across environments.
• Contribute to hardening prototype into military-grade system.

Skills

Machine learning

Computer vision

Robotics

Python

C++

Real-time systems

Team collaboration

Education

Bachelors/Masters in CS/EE

Tools

TensorFlow

PyTorch

ROS

Job description

Company Overview
ACS (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 Staff Level Computer Vision and Machine Learning Engineer to help lead the development and optimization of the CV/ML systems at the core of our autonomous gun turret, with a focus on real-time drone detection, tracking, and classification. 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.

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.
• More than 10+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.
• At least a Bachelors and/or Masters Degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
• A proven track record of senior-level experience 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.