Software Engineer - Computer Vision

IPG Photonics•Huntsville, AL

47d•Onsite

About The Position

The Software Engineer – Computer Vision develops real-time image-processing and tracking algorithms supporting beam control, target acquisition, and stabilization in defense laser platforms. Working at the intersection of optics, sensors, and software, this role enables IPG’s directed-energy systems to perform with precision under dynamic field conditions. This opening targets a mid-level engineer; junior and senior candidates may also be considered, with level determined by experience and qualifications.

Requirements

Bachelor's degree in Computer Science, Electrical Engineering, or a related discipline.
3–7 years of experience in real-time computer vision or image processing (junior and senior candidates considered at the appropriate level).
Proficiency in C++ and Python, with OpenCV on Linux.
Experience with real-time, low-latency video processing pipelines, including color correction and optical-flow techniques.
Experience with GPU acceleration (CUDA) for latency-sensitive applications.
Familiarity with optical systems and sensor calibration.
Strong written and verbal communication skills for cross-disciplinary collaboration.

Nice To Haves

Active DoD security clearance.
Experience with multi-target tracking, state estimation (EKF/UKF), or data-association methods.
Experience with deep-learning-based detection and classification (PyTorch or TensorFlow) and edge deployment (TensorRT).
Experience in beam stabilization or adaptive-optics control.
Knowledge of high-speed camera integration and EO/IR sensor phenomenology.
Prior defense or aerospace program participation.
Master's degree or PhD in a related field.

Responsibilities

Design and implement computer-vision algorithms for object detection, optical flow, and target tracking.
Develop tracking and state-estimation pipelines (e.g., Kalman filtering, track initiation and maintenance) for maneuvering targets in cluttered scenes.
Integrate vision pipelines with gimbals, sensors, and beam-steering hardware.
Optimize GPU-accelerated code on embedded platforms such as NVIDIA Jetson, including CUDA and TensorRT deployment.
Process EO/IR imagery to support laser targeting and feedback control, including camera calibration and sensor characterization.
Build data, simulation, and playback tooling to evaluate algorithm performance against recorded and synthetic scenarios.
Support modeling, field testing, and algorithm performance validation.