AI/ML Research Engineer Sr - Orlando, FL

Lockheed Martin•Orlando, FL

1d•Onsite

About The Position

You will be the AI/ML Research Engineer Sr for the Autonomy & Artificial Intelligence (A/AI) team. Our team creates cutting‑edge machine‑learning and computer‑vision solutions that enable safe, mission‑critical capabilities for Lockheed Martin Missiles and Fire Control.

Requirements

Candidate must have a Bachelor's degree in computer science, computer engineering, electrical engineering, applied mathematics, 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
Must have the ability to obtain a DoD Secret Security Clearance, therefore must be a U.S Citizen.

Nice To Haves

Familiarity with at least one of the target platforms (NVIDIA Jetson, AMD Versal, Intel edge AI)
Proficiency in Python and C++ for model deployment and optimization
Understanding of neural network architectures and their computational requirements
Knowledge of model optimization techniques (quantization, pruning, knowledge distillation)
Knowledge of hardware acceleration techniques (CUDA, OpenCL, Vulkan)
Familiarity with AMD Xilinx tools (Vitis AI) and FPGA programming
Experience with TensorRT, OpenVINO, or other inference optimization frameworks
Background in computer vision, signal processing, or other application domains
Experience with containerization and edge deployment workflows (Docker, edge orchestration)
Understanding of power and thermal management in edge devices
Problem-solving mindset with attention to real-world deployment challenges
Self-motivated with ability to work independently and collaboratively

Responsibilities

Design, implement, and test deep‑learning object‑detection and classification pipelines, including image‑processing and data‑augmentation techniques for missile and fire‑control products.
Develop, verify, and validate complex models and simulations that leverage convolutional neural networks, transformers, generative AI, and related techniques.
Deploy and integrate AI/ML algorithms to CPUs, GPUs, and edge devices, ensuring performance meets system‑level requirements.
Evaluate system performance in realistic scenarios, conduct HWIL (Hardware‑In‑The‑Loop) testing, and support ground‑and flight‑test activities.
Support program reviews, technical‑interchange meetings, and customer engagements by presenting results and recommending mitigations.