Computer Vision Engineer

Location

On-site — Austin, TX

Employment Type

Full‑Time

Job Title

Computer Vision Engineer (Senior, Lead/Principal)

Company Overview

We are a funded startup building autonomous machines for defense markets. Our first product is designed to counter small, fast FPV suicide drones (Group 1 / sUAS). Our robots require world-class perception and decision-making; if you love turning cutting-edge machine learning into field-ready capability, this is your playground. We are currently focused on defensive systems, with the potential to expand into lethal systems in the future.

Position Summary

We are seeking a Senior Computer Vision Engineer to serve as the “eyes” of our autonomous c-sUAS platforms. You will design, implement, and optimize the entire perception pipeline, specializing in low-latency, high-frame-rate processing to track small, fast objects with zero margin for error. You should be comfortable building models and systems from the ground up, moving beyond simply utilizing existing frameworks.

Essential Duties

• Architect and Implement: Develop the entire embedded CV pipeline using high-performance Python and C++.

• Target Tracking & Sensor Fusion: Design and deploy robust multi-object tracking and sensor fusion algorithms to ensure high-fidelity state estimation of fast-moving targets.

• Object Detection: Utilize real-time models (e.g., YOLO) and CNNs optimized for speed.

• Embedded Optimization: Optimize code for low-latency performance on resource-constrained NVIDIA Jetson environments using libraries like TensorRT and TFLite.

• Geometric Vision: Apply principles of calibration, rectification, and 3D geometry to translate 2D footage into accurate 3D coordinates for fire control.

• Cross-Functional Collaboration: Work with robotics teams to ensure perception data is reliable for autonomous decision-making.

Requirements

• Programming: Strong background in C++ (for performance) or Python.

• SLAM/Localization: Deep expertise in VIO, VO, and SLAM frameworks for real-time state estimation.

• Libraries: Proficiency in OpenCV and image-processing modules in PyTorch or TensorFlow.

• Deployment: Experience with DNN inference libraries (e.g., TensorRT, TFLite, and others) for edge deployment.

• Architecture: Hands-on experience building embedded CV systems for real-time applications involving small, fast objects.

• Geometric Vision: Deep understanding of camera calibration and 3D geometry.

• Compliance: This position requires access to export-controlled information under ITAR. Only U.S. citizens are permitted. Must be willing to submit a background check.

Nice-to-Have

• Prior defense startup experience.

• Security clearance or the ability to obtain one.

• A passion for building robots or engineering projects as a hobby.

Benefits

• Competitive salary + early equity

• Opportunity to build systems the Department of Defense actively needs

• New lab equipped with Jetsons, scopes, and 3‑D printers

• Direct influence on product and technology roadmap

• 100% employer paid health, dental, and vision insurance

• 50% employer paid health, dental, and vision insurance for dependents

• Unlimited PTO

• Relocation assistance

About the interview

1. Application screen phone call (30 min)

2. Virtual interview with co-founder #1 (30 min via MS Teams)

3. Paid take-home ($500, ~4-8 hours)

4. Review work

5. Virtual interview with co-founder #2 (45 min via MS Teams)

6. In-person visit to Austin/Offer