• Port the data processing chain for radars and multi-sensor systems from MATLAB to GPU/CPU for real time implementation.


• Design, implement, test, and evaluate the multi-target tracking framework for multi-sensor systems over CPU/GPU.


• Do requirement analysis and system design for high performance, latency constrained, parallel processing of data processing algorithms over CPU/GPU.


• Work independently and in team to design software architecture and data exchange protocols to implement, test, and evaluate complex data processing, and data fusion algorithms in CUDA, C/C++.


• Convert user requirements to software specifications.


• Document the design and implementation of processing algorithms.


• Design and develop high fidelity simulations to test and evaluate the performance of data processing, and data fusion algorithms in real time.


• Upgrade, Integrate and test data processing blocks in real time processing chain of multi-sensor systems.


• Develop test plans and participate in field measurement campaigns to collect real data and test real time implementation of the data processing algorithms over real field data.


• Participate in field trials to verify conformance of ported algorithms to system specifications.

Skills

• Solid background in computer architecture, software architecture and optimization techniques for real time implementation of complex algorithms.


• Solid background in parallel processing and CUDA programming.


• Hands on experience in designing software architecture and implementing algorithms over custom embedded systems including CPU, GPU, and microcontrollers.


• Working experience in C/C++ based real-time implementation.


• Working experience in CUDA programming.


• Working experience in Microcontroller programming.


• Working experience of Project Management and Systems Engineering of technology development projects.


• Motivated to learn and acquire new skills.


• Mentor technical team members and new trainees.