AI/ML Research Engineer Senior

Lockheed Martin

Quick summary

Work type: On-site
Location: Orlando, FL
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

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Similar $206k

$150k most similar roles pay here $270k

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About Lockheed Martin

Lockheed Martin is a global aerospace, defense, and security company that designs, develops, and manufactures advanced technology systems, products, and services for government and commercial customers worldwide.

Lockheed Martin currently has 602 open roles on FindRole.

Listed pay typically runs $101,000–$178,135 across 301 roles with salary data.

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TL;DR · AI/ML Research Engineer Senior

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As the AI/ML Research Engineer Sr for Lockheed Martin’s Autonomy & Artificial Intelligence team, you will design and implement advanced machine learning algorithms to address complex perception challenges in missile and fire control systems. Your daily tasks include developing deep-learning pipelines with image processing and data augmentation techniques, validating models through Hardware-In-The-Loop testing, and deploying AI/ML solutions on CPUs, GPUs, and edge devices. Proficiency in PyTorch, TensorFlow, ONNX, Python, and C++ is essential, along with experience in model optimization and hardware acceleration techniques such as CUDA and OpenCL. This role involves working on mission-critical systems at a world-class aerospace organization, requiring strong collaboration skills and the ability to present technical findings effectively.

Skills

PyTorch TensorFlow ONNX Python C++ NVIDIA Jetson AMD Versal Intel edge AI Vitis AI CUDA OpenCL TensorRT OpenVINO Docker FPGAprogramming Power and thermal management

What you'll do

Design, implement, and test deep-learning object-detection and classification pipelines for missile systems.
Develop complex models using convolutional neural networks, transformers, and generative AI techniques.
Deploy AI/ML algorithms to CPUs, GPUs, and edge devices while ensuring performance meets system requirements.
Evaluate system performance through HWIL testing and support ground-and flight-test activities.
Present technical results and recommend mitigations during program reviews and customer engagements.

What we're looking for

Bachelor's degree in computer science, engineering, or related field.
2+ years of experience in embedded systems, edge computing, or AI deployment.
Strong proficiency in deep learning frameworks (PyTorch, TensorFlow, ONNX).
Experience deploying neural networks on embedded/edge devices.
Familiarity with model optimization techniques and hardware acceleration methods.
Knowledge of containerization and edge deployment workflows.
Must be a U.S. citizen capable of obtaining a DoD Secret Security Clearance.