Perception Lead, Edge ML for Real-Time sUAS

9 Mothers; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

100% Employer-Paid Premiums

Unlimited PTO

Relocation Assistance

Mission-Critical Work

The Builder's Playground

Job summary

9 Mothers, based in Austin, TX, is hiring a Perception Lead, Staff Engineer to manage the computer vision and machine learning stack for advanced unmanned aerial vehicle defense systems. You will be responsible for enhancing the perception pipeline that allows for real-time engagement with aerial threats. The ideal candidate has extensive experience in computer vision and machine learning, strong skills in Python and C++, and the ability to handle challenging real-world conditions. Compensation includes equity options and comprehensive benefits.

Qualifications

• 6+ years of experience in computer vision/machine learning.
• Experience deploying detection/tracking systems under constraints.
• Proficient in Python, C++, or Rust.

Responsibilities

• Own the visual perception pipeline for sUAS targets.
• Design and train machine learning models for edge deployment.
• Optimize inference performance on Jetson platforms.

Skills

Computer vision

Machine learning

Python

C++ or Rust

Engineering skills

Tools

PyTorch

JAX

TensorRT

NVIDIA Jetson

Job description

9 Mothers, based in Austin, TX, is hiring a Perception Lead, Staff Engineer to manage the computer vision and machine learning stack for advanced unmanned aerial vehicle defense systems. You will be responsible for enhancing the perception pipeline that allows for real-time engagement with aerial threats. The ideal candidate has extensive experience in computer vision and machine learning, strong skills in Python and C++, and the ability to handle challenging real-world conditions. Compensation includes equity options and comprehensive benefits.