Job description

ABOUT THE JOB Valkyrie Aero is seeking a software engineer to develop computer vision and sensor fusion software for an airborne mission system. Software Engineers in this role develop real-time detection, classification, and tracking software, fuse multiple sensor inputs into a single track picture, and deliver track state to the control software and operator interface. This includes model development and evaluation, inference optimization for embedded hardware, and the dataset pipeline. This is a fully remote position. WHAT YOU’LL DO • Develop real-time detection, classification, and multi-object tracking on live sensor feeds • Fuse inputs from multiple sensors into a single track picture • Design, train, and evaluate models against latency and accuracy targets for embedded deployment • Optimize inference on embedded hardware, including pruning, quantization, and TensorRT • Develop and maintain the dataset pipeline, including collection, labeling, curation, augmentation, synthetic data, and retraining from field data • Establish the evaluation framework and metrics, measured under operational conditions • Deliver track state (position, velocity, identity, uncertainty) to control software and the operator interface • Develop backend services and APIs as required • Work with hardware engineers on camera, optics, and sensor selection • Support integration and test, including diagnosing and resolving issues on target hardware REQUIRED QUALIFICATIONS • Professional experience developing real-time computer vision and multi-object tracking pipelines • Experience delivering detection or tracking systems to production under latency, small-object, and adversarial conditions • Experience with sensor fusion • Experience with backend, integration, and systems software in addition to perception • Proficiency in Python and C++ • Experience working with hardware and real-time data • Must be a U.S. citizen PREFERRED QUALIFICATIONS • Experience with PyTorch, TensorRT, ONNX, DeepStream, or GStreamer • Experience with thermal, infrared, or multispectral imaging • Experience with multi-modal sensor fusion across EO/IR, radar, or acoustic sensors • Experience with synthetic data generation and sim-to-real • Experience deploying on NVIDIA Jetson • Experience with embedded Linux and device I/O (cameras, gimbals, sensors) • Experience with gRPC or WebSockets • Experience in defense or other safety-critical computer vision • Personal robotics or hardware projects

Requirements

Must-haves

Develop real-time detection, classification, and multi-object tracking on live sensor feeds
Fuse inputs from multiple sensors into a single track picture
Design, train, and evaluate models against latency and accuracy targets for embedded deployment
Optimize inference on embedded hardware, including pruning, quantization, and TensorRT
Develop and maintain the dataset pipeline, including collection, labeling, curation, augmentation, synthetic data, and retraining from field data
Establish the evaluation framework and metrics, measured under operational conditions
Deliver track state (position, velocity, identity, uncertainty) to control software and the operator interface
Develop backend services and APIs as required
Work with hardware engineers on camera, optics, and sensor selection
Support integration and test, including diagnosing and resolving issues on target hardware
Professional experience developing real-time computer vision and multi-object tracking pipelines
Experience delivering detection or tracking systems to production under latency, small-object, and adversarial conditions
Experience with sensor fusion
Experience with backend, integration, and systems software in addition to perception
Proficiency in Python and C++

Nice-to-haves

Experience with PyTorch, TensorRT, ONNX, DeepStream, or GStreamer
Experience with thermal, infrared, or multispectral imaging
Experience with multi-modal sensor fusion across EO/IR, radar, or acoustic sensors
Experience with synthetic data generation and sim-to-real
Experience deploying on NVIDIA Jetson
Experience with embedded Linux and device I/O (cameras, gimbals, sensors)
Experience with gRPC or WebSockets
Experience in defense or other safety-critical computer vision
Personal robotics or hardware projects

Application prep

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Keywords to mirror

python

Platform: breezy
Effort: medium

Benefits

Benefits detected in the listing.

Vision