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Perception Engineer is a Computer Vision Engineer role (full-time). with 9 Mothers. in AUSTIN, US. Compensation shown: $110K–$300K. Imported listing (source: feeny.ai). Apply on the employer's site (feeny.ai).
Imported listing (source: feeny.ai) · Apply on feeny.ai
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Imported job description
Sourced from feeny.ai
9 Mothers is hiring a senior Perception Engineer to own the computer vision and machine learning stack powering real-time target detection, classification, and tracking in its counter-drone (counter-sUAS) systems. The role spans model design and training through optimized edge inference on NVIDIA Jetson hardware, plus dataset and simulation pipelines. This is a senior individual contributor position based onsite in Austin, TX.
Responsibilities
- Own the visual perception pipeline end-to-end: detection, classification, and tracking of sUAS targets in real time
- Design and train ML models meeting latency and accuracy requirements for edge deployment on Jetson-class hardware
- Architect and maintain the dataset and simulation pipeline, including collection, labeling, augmentation, synthetic data, and closed-loop retraining
- Optimize inference on Jetson via pruning, quantization, TensorRT integration, and custom kernels
- Establish model evaluation frameworks and metrics for operational conditions
- Deliver target state information (position, velocity, identity, uncertainty) to the controls subsystem
- Collaborate with hardware team on camera, optics, and sensor selection
Requirements
- 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, 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
Nice to Have
- Experience with infrared (IR), thermal, or multi-spectrum camera systems
- TensorRT and NVIDIA Jetson deployment at production scale
- Multi-object tracking under challenging conditions
- Multi-modal sensor fusion (EO/IR, radar, acoustic)
- Synthetic data generation and sim-to-real methodologies
- Prior defense or safety-critical computer vision experience
- Active security clearance or eligibility to obtain one
Benefits
Equity / stock optionsmedical insurancedental insurancevision insuranceUnlimited PTOrelocation assistance
Tech Stack
Computer VisionC++JAXMachine LearningMulti-Object TrackingNVIDIA JetsonPythonPyTorchRustSensor FusionSynthetic DataTensorRT

Austin · US · 17+ employees
9 Mothers is an Austin-based defense and space-manufacturing company that builds AI-enabled counter-drone and counter-unmanned-aircraft systems for modern battlefields. Its first product, EDDA, is a small, low-power, low-cost, potentially autonomous system intended to protect soldiers, vehicles, bases, and critical assets from fast Group 1 suicide drones.