CFD Research is looking to hire an engineer to research, optimize, and deploy high-performance machine learning models on target hardware for intelligence, defense, and biomedical applications.
Requirements
- Strong programming proficiency in Python and C/C++, with proven experience in writing and optimizing low-level code for high-performance computing on embedded and edge hardware.
- Understanding of machine learning methodologies for classification, regression, clustering, dimensionality reduction, and generative modeling, with experience selecting and optimizing algorithms for real-time applications.
- Proficiency with machine learning frameworks such as PyTorch or TensorFlow/Keras, with experience in extending or customizing framework components for specialized hardware.
- Experience with data manipulation and visualization tools, such as pandas, scikit-learn, and plotly, with a strong grasp of data preprocessing for complex datasets.
- Strong experience with version control systems such as Git and familiarity with best practices in collaborative code management and code review.
- Extensive experience with embedded systems hardware and software, including working knowledge of assembly-level programming or low-level language optimization.
- Deep expertise with CUDA and/or OpenCL for accelerating compute-intensive tasks and optimizing ML model performance on GPU-based systems.
Responsibilities
- designing and implementing discriminative and generative models for computer vision and signal processing
- leveraging low-level software and hardware expertise to accelerate performance across diverse hardware environments, including edge devices, desktop workstations, and multi-GPU clusters
- contribute at all stages of the model development lifecycle, from ideation to deployment, for tasks such as object detection, anomaly detection, semantic segmentation, forecasting, and synthetic data generation
- conduct exploratory data analysis, data preprocessing, model implementation, and rigorous model evaluation
- optimizing models to meet strict latency, throughput, and power constraints
- deploying models efficiently to targeted hardware platforms
- working with other engineers and subject matter experts
Other
- Candidate must be a US Citizen and possess an Active TS/SCI security clearance.
- This role is based in the Dayton, OH area, and is 100% onsite.
- Candidate must be a U.S. Citizen and possess (or be eligible to obtain) and maintain a SECRET Clearance.
- Bachelor’s in Engineering, Computer Science, Math/Statistics, Physics, or related STEM discipline; Master’s or Ph.D. preferred.
- Proven track record deploying machine learning models in production environments, particularly on constrained devices or distributed computing platforms.
