Computer Vision/Machine Learning Engineering Manager

• Lead, manage, and grow the CV/ML engineering team, including hiring engineers from Junior through Senior Staff levels.
• Mentor engineers and support their technical growth, career development, and long-term success.
• Partner with Chief Engineers and the VP of AI to define the CV/ML technical roadmap and own execution within the team.
• Translate product and company objectives—including new weapon system variants, engagement ranges, and system hardening milestones—into quarterly plans, priorities, and staffing decisions.
• Contribute hands-on to the development and optimization of computer vision algorithms for real-time drone detection, tracking, and classification.
• Own delivery commitments for the CV/ML stack and coordinate integration milestones with electrical engineering and hardware teams.
• Drive engineering quality through design reviews, code reviews, testing, and rigorous validation across a range of environmental conditions and operational scenarios.
• Help establish technical priorities and remove obstacles to ensure the team consistently delivers against program objectives.

What You’ll Need

• 10+ years of experience working with machine-learning-based computer vision and traditional image and signal processing, ideally within robotics, with a proven track record deploying CV systems in real-time or safety-critical applications.
• Bachelor’s degree or higher in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
• Experience managing or serving as a technical lead for a CV/ML engineering team, with an interest in expanding management responsibilities.
• Demonstrated experience owning a technical roadmap or planning process for perception, autonomy, or a similar product area.
• Strong proficiency in Python and C++.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar platforms.
• Experience with embedded systems and sensor integration, particularly cameras, LIDAR, and RADAR, is strongly preferred.
• Ability to drive execution while collaborating with senior technical leadership on technical direction in a fast-moving, engineering-focused environment.

You’ll Stand Out

• Formal management experience, including hiring and scaling a CV/ML or perception team within a startup or 0-to-1 product environment.
• Ph.D. in Computer Vision, Machine Learning, or a related field.
• Experience developing object detection and tracking systems for challenging real-world conditions, including small targets, cluttered backgrounds, and low-contrast imagery.
• Background in defense, aerospace, or autonomous systems, particularly environments where performance and reliability requirements are critical.
• Experience deploying and optimizing models on edge hardware, such as NVIDIA Jetson or similar embedded GPU platforms.
• Experience with multi-sensor fusion across modalities, including optical and infrared cameras.
• Experience leading engineering teams through field testing and hardware integration cycles, beyond software-only development.