Applied Intuition's EpiSci division is looking to solve national security problems by developing next-generation, tactical autonomy solutions. This role specifically aims to integrate DSP and AI/ML algorithms onto embedded hardware for advanced AI/ML technologies.
Requirements
- Experience with developing and integrating DSP and AI/ML algorithms into embedded systems
- Experience in real-time operating systems development including task and thread management targeting command and control of FPGA resources
- Experience in task and thread management for command and control of FPGA resources, with expertise in Xilinx FPGA architectures (e.g., Zynq UltraScale+, Kintex, Artix) and AMD embedded devices, including AMD Versal, Xilinx RFSoC, and Xilinx MPSoC
- Experience with AMD embedded devices including AMD Versal, Xilinx RFSoC, and Xilinx MPSoC
- Strong programming skills in languages such as C and C++, and Python
- FreeRTOS and/or bare metal application development
- Xilinx development tools such as Vivado Design Suite, Vitis and PetaLinux
Responsibilities
- Integrate, test, and validate DSP and AI/ML algorithms on embedded devices
- Deploy algorithms for integration and field testing events on real-time, SWaP hardware
- Develop and architect best practices for algorithm integration
- Algorithm integration into embedded devices, including researching advanced accelerators for future embedded systems
- Algorithm integration into embedded devices
Other
- We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week.
- Must be willing to travel as projects requires; estimated average travel is once every quarter for between 2 days up to 1 week (~10%)
- Must be a U.S. Citizen
- Must hold or be eligible to obtain and maintain a U.S. security clearance
- Master’s or PhD degree in embedded programming with FPGA-specific experience or a closely related field
