Radar AI Engineer — Edge Deployment (TS/SCI)

Blue Origin; Littleton (CO); Sur place; USD 120 000 - 168 000; Plein temps

Avantages offerts par ce poste

Relocation assistance

Travel up to 10%

Résumé du poste

Blue Origin is seeking a talented ML Engineer to own the radar AI architecture for a new program, turning radar returns into reliable object characterizations. You will design models that operate with limited labeled data and deploy them on embedded/edge hardware, collaborating with AI/ML, RF, sensing, GNC, and flight software teams.

You will contribute to defining data generation, simulation-based training, and evaluation methods, with the aim of robust autonomous decision-making for national

Qualifications

• BS in Computer Science, Electrical Engineering, Computer Engineering, Physics, or a related field, plus about 3 years of ML engineering experience.
• A track record of building and shipping deep learning models in PyTorch (or similar).
• Edge deployment (TensorRT, quantization, FPGA or SoC targets).
• Strong Python skills.
• Working knowledge of radar fundamentals: radar bands and usage, link budgets, clutter mitigation, RCS, detection probability, and tracking.

Responsabilités

• Design, train and evaluate deep learning models (GNNs, transformers, DRL, Learned Algorithm Unfolding or hybrids) that find and classify objects of interest in raw radar data as well as range-Doppler and range-angle maps.
• Build characterization models that estimate object attributes such as size, shape, motion state, track, behavior, with calibrated uncertainty.
• Represent radar data in the right form for each model, for example point or track graphs for GNNs.
• Build the data engine: synthetic data generation, simulation-based training, labeling strategy, augmentation, and handling of class imbalance.
• Detect inputs that fall outside the training data, and flag low-confidence results so downstream systems know when not to trust the model.
• Work with the Advanced Systems, DSP, GNC, and flight software teams to define how data is handed between stages and to deploy models on embedded or edge hardware.
• Define the metrics, test sets, and evidence needed to qualify ML models for deployment to the edge.

Connaissances

Python programming

PyTorch

Edge deployment

Radar fundamentals

Strong Python skills

Formation

BS in Computer Science/EE/Engineering/Physics

Outils

TensorRT

FPGA

SoC targets

Description du poste

Blue Origin is seeking a talented ML Engineer to own the radar AI architecture for a new program, turning radar returns into reliable object characterizations. You will design models that operate with limited labeled data and deploy them on embedded/edge hardware, collaborating with AI/ML, RF, sensing, GNC, and flight software teams.

You will contribute to defining data generation, simulation-based training, and evaluation methods, with the aim of robust autonomous decision-making for national