AI/ML Engineer – Computer Vision
Contested Autonomy & Navigation Branch, Huntsville, AL
Serve as an AI/ML Engineer with a specialty in Computer Vision for the Contested Autonomy and Navigation Branch in Huntsville, AL. Our team’s mission is to develop and demonstrate new alternative navigation and vision processing algorithms to meet urgent military operational needs to operate in GPS‑challenged environments, and to rapidly transition this technology to operational platforms to outpace adversary threats currently being faced in the field. Projects involve small teams of engineers working together in spiral or agile development environments to meet aggressive customer schedules aimed at near‑term field demonstrations of emerging capabilities. Our core competencies include sensor fusion, computer vision, HW/SW integration, and machine learning. Typical customers include DARPA, Army CCDC engineering centers, ONR, and AFRL. We are looking for a candidate who is interested in applying classic and deep learning computer vision algorithms from initial concept development through successful prototype field demonstrations.
Note: This role is located in Huntsville, AL. There may be an opportunity to telework up to 1 day/week.
The Challenge
- Develop perception algorithms using inputs from visible, infrared, and synthetic aperture radar sensors, including object detection, tracking, image segmentation, optical flow, and cross‑view matching.
- Prototype initial algorithms in the preferred programming language (Python, MATLAB, C++).
- Transition prototype algorithms for real‑time edge execution on various System on Chips (CPU/GPU, CPU/TPU, etc.).
- Support field demonstrations of vision software on various manned and unmanned vehicles.
- Present techniques, solutions, and results to DoD customers and Leidos management.
- Develop proposals and concepts responding to customer requirements.
Basic Qualifications
- BS degree in a scientific field such as computer science, math, data science, physics, or engineering with 4+ years of prior relevant experience, or MS with 2+ years.
- Experience applying computer vision to solve complex image processing problems, including data curation, labeling, model training, and evaluation.
- Experience with state‑of‑the‑art neural network architectures such as CNNs and Vision Transformers, and specific high‑performing open‑source model implementations.
- 4 years of experience with PyTorch (preferred), TensorFlow, or similar AI/ML development framework.
- 3 years of experience with computer vision libraries such as OpenCV.
- 3 years of experience in Python with additional experience in C++ and MATLAB.
- 3 years of experience working in a Linux development environment.
Advanced Qualifications
- Experience deploying to various edge processing devices, including the NVIDIA Jetson family and other hardware acceleration platforms.
- Experience with Apache TVM or similar frameworks for AI/ML acceleration on edge devices.
- Experience working with the Robot Operating System (ROS).
- Experience developing algorithms that process vision measurements such as SLAM, visual odometry, photogrammetry, and structure‑from‑motion.
- Existing US security clearance (Secret or above).
Clearance Required
- U.S. Citizen with the ability to obtain and maintain a Secret Security Clearance.
Commitment to Non‑Discrimination
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
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