Perception Engineer, Senior

The modern battlefield has changed. Cheap, autonomous suicide drones have turned the tactical advantage upside down, and the world is looking for a solution. At 9 Mothers, we aren’t just "innovating"—we are building the shield.

Backed by top-tier investors, we develop AI powered machines designed to intercept and neutralize Group 1/sUAS threats in real-time. Our flagship product is a low-power, counter-drone system built for the edge—on vehicles, at bases, or in a soldier's pack.

While others build for "awareness" or "long-term research," we build for the immediate survival of those in harm’s way. We are a team of hackers, engineers, and mission-driven builders who value field-ready capability over polished slide decks. If you want to see your code or hardware in the field next month—not next year—this is your playground.

9 Mothers is seeking a Perception Engineer to own the computer vision and machine learning stack that powers target detection, classification, and tracking in our counter-sUAS systems. The Perception Lead is responsible for the research, development, and deployment of the perception pipeline that enables EDDA to engage aerial threats in real time. This is a senior individual contributor position.

• Own the visual perception pipeline end-to-end, including detection, classification, and tracking of sUAS targets in real time.

• Design and train machine learning models that meet latency and accuracy requirements for edge deployment on Jetson-class hardware.

• Architect and maintain the dataset and simulation pipeline, including data collection, labeling, curation, augmentation, synthetic data generation, and closed-loop retraining based on field performance.

• Optimize inference performance on Jetson platforms, including model pruning, quantization, TensorRT integration, and custom kernel development as required.

• Establish the model evaluation framework and metrics used to assess perception performance under operational conditions.

• Deliver target state information (position, velocity, identity, uncertainty) to the controls subsystem.

• Collaborate with the hardware team on camera, optics, and sensor selection.

• 6+ years of professional experience in computer vision or machine learning, including production deployment on edge hardware.

• Demonstrated experience shipping a detection or tracking system under real-world latency, small-object, or adversarial constraints.

• Strong engineering skills beyond modeling, including experience with PyTorch or JAX through to deployed, optimized inference.

• Proficiency in Python for model development and C++ or Rust for deployed inference.

• U.S. citizenship and ability to pass a background check.

• Experience working with infrared (IR), thermal, or multi-spectrum camera systems.

• TensorRT and NVIDIA Jetson deployment experience at production scale.

• Multi-object tracking under challenging conditions.

• Multi-modal sensor fusion experience (EO/IR, radar, acoustic).

• Synthetic data generation and sim-to-real methodologies.

• Prior experience in defense or other safety-critical computer vision applications.

• Active security clearance, or eligibility to obtain one.

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

1. Phone call with recruiter (30 min)

1. Live coding challenge with Director of Engineering (45 min via MS Teams)

2. Paid take-home consulting agreement ($500, ~8 hours)

3. Onsite interview in Austin

4. Offer

9 Mothers is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

This position may require access to information or technology subject to U.S. export control laws and regulations, including the International Traffic in Arms Regulations (ITAR). U.S. citizenship is required.