CFD Research Corporation · 5 hours ago
Machine Learning Engineer (Intelligence & Sensing)
CFD Research Corporation is an innovative technology solutions provider in multiple industries including Aerospace & Defense and Biomedical & Life Sciences. They are seeking a Machine Learning Engineer to develop and advance high-performance computer vision and perception models, focusing on object detection, recognition, and tracking for various applications.
Cyber SecurityInformation TechnologyProduct DesignProduct ResearchSoftware
Responsibilities
The engineer in this role will join a small, multidisciplinary R&D team focused on developing and advancing high-performance computer vision and perception models for intelligence, defense, and biomedical applications
The engineer will design and implement predictive and generative machine learning models for object detection, recognition, and tracking with an emphasis on robustness, accuracy, and scalability across diverse operational conditions
This role involves close collaboration with researchers and engineers to translate domain-specific challenges into effective learning-based solutions and to deploy production-quality models across desktop, cloud, and edge software environments
The successful candidate will contribute across the full model development lifecycle, from problem definition and data exploration through training, evaluation, and deployment of robust, high-performance vision and tracking pipelines
Responsibilities include exploratory data analysis, neural network architecture design and tuning, integration with sensor data streams, and rigorous quantitative and qualitative evaluation to ensure accuracy, stability, and generalization
Emphasis is placed on developing reliable, scalable models and using GPU acceleration where appropriate
The engineer will collaborate closely with engineers and subject matter experts across multiple domains to deliver validated, production-ready solutions
Qualification
Required
Candidate must be a U.S. Citizen and possess (or be eligible to obtain) and maintain a SECRET clearance
Master's degree in Computer Science, Electrical/Computer Engineering, Applied Mathematics, Physics, or a related STEM discipline
Strong proficiency in Python, with demonstrated experience developing and optimizing computer vision algorithms for real-time execution on embedded and edge platforms
Advanced understanding of computer vision and machine learning methods for object detection, object tracking, and object recognition
Proficiency with deep learning frameworks such as PyTorch or TensorFlow/Keras, including experience modifying or extending framework components to support custom vision pipelines and specialized hardware accelerators
Preferred
Experience with embedded vision systems, including low-level optimization in C/C++ or assembly, and integration of perception algorithms with sensor data streams (e.g., EO/IR, video, or multimodal inputs)
Proven track record of deploying computer vision and target tracking models into production environments, particularly on resource-constrained devices or distributed edge-compute architectures
Deep expertise in CUDA and/or OpenCL for accelerating image processing, neural network inference, and tracking pipelines on GPU-enabled systems
Experience with OpenGL and/or WebGL for real-time visualization of detections, tracks, sensor data, and algorithm outputs
Fluency working in Linux-based HPC and shared compute environments, with experience scaling training and evaluation of vision and tracking models across multiple GPUs or nodes
Experience collaborating within multidisciplinary engineering teams using Git-based version control workflows for code development, review, and integration
Benefits
Employer matching 401(k)
Employee Stock Ownership Plan (ESOP)
Medical, vision, and dental insurance
Company paid leave
Compensation time
Parental leave
Long-term and short-term disability
Accidental death and dismemberment
Life insurance
Group and individual bonuses
Company
CFD Research Corporation
Founded in 1987, CFD Research develops innovative technologies that advance national security, aerospace, defense, life sciences, materials, and energy.
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
Innovate Alabama
2023-08-09Grant
2022-08-30Grant
Leadership Team
Recent News
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