Deca Defense aims to eliminate warfighter pain points by developing custom autonomous solutions that directly resolve critical field challenges, integrating advanced autonomy with embedded AI to deliver precise, mission-critical solutions at the tactical edge.
Requirements
- Embedded (FPGA) Edge AI experience
- Foundational understanding of AI and FPGA technologies
- Verilog
- VHDL
- C/C++
- Python
- TensorFlow
- PyTorch
Responsibilities
- Gain practical experience in developing and implementing AI models optimized for FPGA deployment to solve warfighter problems in tactical applications with guidance from experienced professionals.
- Learn to utilize tools and frameworks such as TensorRT, Vitis, and ONNX for model optimization and deployment, applying theoretical knowledge in a hands-on setting.
- Acquire knowledge in quantization-aware training and post-quantization methods to improve model efficiency and performance supported by mentorship from our team.
- Develop your programming skills using languages such as Verilog, VHDL, C/C++, and Python with opportunities to apply them in real-world scenarios.
- Work with TensorFlow and PyTorch to develop and train models, enhancing your understanding of these deep learning frameworks through practical application.
- Collaborate with cross-functional teams to understand project requirements and contribute to innovative solutions, gaining experience in a multidisciplinary environment.
- Learn how to optimize and fine-tune FPGA-based AI models for performance and scalability in real-world applications with support from experienced engineers.
Other
- Unpaid Internship (25 hours per week)
- In compliance with the International Traffic in Arms Regulations (ITAR), only U.S. citizens are eligible to apply.
- Preference for candidates with a veteran background
- Motivated embedded Edge AI Intern
- Desire to grow their skills in a collaborative, mission-driven environment.
