📅 Aug 27
Design, train, and deploy production computer vision systems for industrial applications, spanning classical and deep-learning methods, vision-language models, multimodal reasoning, and real-time edge and cloud inference.
Software Engineer, Perception
📅 Sep 18
Computer VisionMulti-object TrackingSensor FusionPython
📜 Description
- Develop real-time detection, classification, and multi-object tracking on live sensor feeds.
- Fuse multiple sensor inputs into a unified track picture and deliver track state to control software and operator interfaces.
- Design, train, and evaluate models against latency and accuracy targets for embedded deployment.
- Optimize embedded inference using techniques such as pruning, quantization, and TensorRT.
- Build and maintain dataset pipelines, evaluation frameworks, and operational metrics.
- Develop backend services and APIs, collaborate on sensor selection, and support integration and testing on target hardware.
🛠️ Requirements
- 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
- 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
Full 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
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