Edge AI Engineer for Embedded Systems (Security-Cleared)

maxar; Reston (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

Vantor in Reston, VA is seeking an experienced AI/ML engineer to join a small team delivering edge AI capabilities for DoD customers. You will source data, train models, evaluate performance, and deploy optimized solutions on embedded hardware in air-gapped environments. U.S.

citizenship and TS/SCI clearance with CI poly are required. Strong Python/Linux skills and experience with Docker are essential. You will work onsite with mission operators to ensure the system meets real-world operational

Qualifications

• Bachelor's degree or higher in a technical field such as data science, CS, CE, statistics, or electrical engineering.
• At least five years of relevant experience.
• U.S. Citizen with TS/SCI clearance and CI poly.
• Strong knowledge of AI/ML algorithms including computer vision models and LLMs; hands-on training and evaluation with PyTorch or TensorFlow.
• Proficiency in Python and its data science stack (NumPy, pandas, scikit-learn) plus Bash scripting.
• Experience configuring Linux applications and deploying offline-native applications with Docker.

Responsibilities

• Source, curate, clean, and label datasets from open-source repositories and operational sensor data.
• Train, fine-tune, and evaluate AI/ML models, including computer vision models and LLMs, for specific mission use cases.
• Design evaluation methods and metrics to measure model accuracy, latency, and reliability under real-world conditions.
• Optimize models for resource-constrained hardware using techniques such as quantization, pruning, and conversion to edge runtimes.
• Build and deploy offline-native data and ML pipelines in containerized environments using Docker.
• Configure and troubleshoot Linux-based embedded systems, including compatibility between specific kernels and hardware drivers.
• Explore and analyze data from digital communication systems, including RF, cellular, and WiFi sources.
• Evaluate open-source AI software and models to identify solutions that meet the customer's operational requirements.
• Engage with customers to understand expectations and ensure delivered products meet operational requirements.
• Produce supporting documentation, including model performance reports and inputs for user manuals.

Skills

AI/ML algorithms

Computer vision models

LLMs

PyTorch

TensorFlow

Python

NumPy

pandas

scikit-learn

Bash scripting

Education

Bachelor's degree in data science / CS / engineering

Tools

Docker

GitHub

GitLab

Hugging Face

Kaggle

TensorRT

ONNX Runtime

Job description

Vantor in Reston, VA is seeking an experienced AI/ML engineer to join a small team delivering edge AI capabilities for DoD customers. You will source data, train models, evaluate performance, and deploy optimized solutions on embedded hardware in air-gapped environments. U.S.

citizenship and TS/SCI clearance with CI poly are required. Strong Python/Linux skills and experience with Docker are essential. You will work onsite with mission operators to ensure the system meets real-world operational