Computer Vision & Machine Learning Engineering Manager for Autonomous Anti-Drone SystemsAbout The RoleWe are looking for a
Computer Vision/Machine Learning Engineering Manager to join the Computer Vision and Machine Learning team behind our autonomous gun turret, with a focus on real-time drone detection, tracking, and classification. This begins as a player-coach role: you will contribute directly to the CV/ML stack while managing and growing the team, with your hands-on share shifting toward management and technical review as the team scales. You will partner with our Chief Engineers and VP of AI to define the CV/ML technical roadmap and own its execution, translating product goals into team plans and delivery commitments as we harden the prototype into a military-grade system.
What You'll Do- Manage and grow a CV/ML team: lead the existing engineers, hire across levels from Junior through Senior Staff, and develop your engineers' careers and technical skills.
- Partner with Chief Engineers and VP of AI to define the CV/ML technical roadmap, and own its execution within your team.
- Translate product and company goals, such as new weapon system variants, engagement ranges, hardening milestones, into quarterly team plans, priorities, and staffing decisions.
- Contribute directly to development and optimization of computer vision algorithms for real-time drone detection, tracking, and classification.
- Own delivery commitments for the CV/ML stack, coordinating integration milestones with electrical engineering and hardware teams.
- Drive engineering quality through design and code review, and rigorous testing and validation practices across environmental conditions and scenarios.
What You'll Need- Deep expertise and 10+ years of experience working on machine-learning-based computer vision and traditional image and signal processing, ideally in the context of robotics, including a proven track record of deploying CV systems in real-time or safety-critical applications.
- At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
- Experience managing or tech-leading a team of CV/ML engineers, and a desire to grow into a larger management scope.
- Evidence of successfully owning a technical roadmap or planning process for a perception, autonomy, or similar product area.
- Proficiency in Python and C++, and experience with machine learning frameworks such as TensorFlow, PyTorch, or similar; experience with embedded systems and sensor integration (cameras, LIDAR, RADAR) strongly preferred.
- Comfort driving execution while collaborating on technical direction with senior technical leadership, in a fast-moving, engineering-first environment.
You'll Stand Out- Formal management experience, including having hired and scaled a CV/ML or perception team at a startup or in a 0-to-1 product environment.
- Ph.D. in computer vision, machine learning, or related fields.
- 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, or with multi-sensor fusion across modalities such as optical and infrared cameras.
- Experience leading teams through field testing and hardware integration cycles, not just software-only development.
What We Offer- Competitive salary
- ACS Equity Package
- Health, Dental, Vision Insurance
- Paid Time Off
