Real-Time CV/ML Engineer for Autonomous Turrets

Allen Control Systems; Mountain View (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity package

Health insurance

Dental insurance

Vision insurance

Paid time off

Job summary

Allen Control Systems is seeking a Computer Vision and Machine Learning Engineer to develop and optimize CV/ML systems for an autonomous gun turret, enabling real-time drone detection, tracking, and classification. You will work with electrical engineers to integrate vision into the turret and help harden the prototype for military-grade use.

We hire across Associate to Senior Staff levels; the role emphasizes low-latency processing, edge hardware, and robust performance in challenging

Qualifications

• 4+ years of experience in machine-learning-based computer vision, ideally in robotics or autonomous systems.
• Bachelor’s degree or higher in Computer Science, Electrical Engineering, or a related field with ML/vision focus.
• Proficiency in Python and C++; hands-on experience with ML frameworks such as PyTorch or TensorFlow.
• Experience with embedded systems and integrating CV algorithms into hardware; familiarity with sensors like cameras, LiDAR, and radar.

Responsibilities

• Develop and optimize computer vision algorithms for real-time drone detection, tracking, and classification on the turret.
• Design and implement ML models for resource-constrained environments with high accuracy.
• Collaborate with electrical engineers to integrate CV systems into hardware and harden the prototype for military-grade use.
• Conduct extensive testing and validation of CV algorithms across diverse scenarios and environments.

Skills

Computer Vision

Machine Learning

Python

C++

PyTorch

Embedded systems

Education

Bachelor's degree in CS/EE

Tools

PyTorch

TensorFlow

NVIDIA Jetson

OpenCV

Job description

Allen Control Systems is seeking a Computer Vision and Machine Learning Engineer to develop and optimize CV/ML systems for an autonomous gun turret, enabling real-time drone detection, tracking, and classification. You will work with electrical engineers to integrate vision into the turret and help harden the prototype for military-grade use.

We hire across Associate to Senior Staff levels; the role emphasizes low-latency processing, edge hardware, and robust performance in challenging