# Computer Vision & Machine Learning, Staff at Allen Control Systems

Allen Control Systems, a defense startup founded by former Navy engineers, is seeking a Staff-level computer vision and machine learning expert to lead algorithmic development for an autonomous anti-drone turret system. You'll own the design and optimization of real-time detection, tracking, and classification algorithms while ensuring they perform reliably in resource-constrained hardware environments. Your work will involve close collaboration with electrical engineers to integrate vision systems into the turret's architecture, extensive field testing across varying conditions, and mentoring junior team members as the company scales its technical capabilities.

This role suits engineers with 9+ years of hands-on machine learning and computer vision experience, particularly those with a background in robotics or real-time systems. You'll need at least a Master's degree in Computer Science, Electrical Engineering, or related field, plus proficiency in Python and C++ alongside frameworks like TensorFlow or PyTorch. Experience integrating vision algorithms with embedded hardware, familiarity with multiple sensor types (cameras, LIDAR, RADAR), and a track record deploying systems in safety-critical applications are essential.

Based in Austin, TX, this is a full-time position offering competitive salary, equity, and standard benefits including health insurance and paid time off. The company is backed by founders with proven exits totaling $180M and operates with an engineering-first culture focused on technical excellence and real-world impact.

Location: Austin, TX

Apply: https://getfoundi.com/apply/computer-vision-machine-learning-staff-allen-control-systems-5d318272

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