Performance Computing Engineer

The candidate will be responsible for developing high-quality image processing applications. They will also be responsible for designing and implementing testable and scalable code to work in real time on GPU using CUDA framework, and on FPGA using Xilinx or similar tools. The responsibility includes designing the processing pipeline for optimal performance.

Skills and experience

Implement high-end image processing algorithms in C++ and using CUDA framework, adhering to software quality standards.
Write Verilog code for implementation on FPGA
Design highly scalable, testable code, run it on various test vectors, analyse and record test results, fix the bugs or change design as may be needed.
Prepare the required software lifecycle documents, primarily design documents, test procedures, and test reports.
Analyse and demonstrate performance bounds for different pipeline options.
Knowledge of DO-254 is an additional advantage At least a bachelors degree in Computer Science or related field
Strong knowledge of C++ and CUDA constructs
Strong knowledge of Verilog
Experience in parallel programming for image processing applications
Strong knowledge of computer programming fundamentals
Ability to read and implement from technical papers will be a bonus