- Knowledge of GPU programming in CUDA / jCUDA is the basic skill needed for the candidate. The candidate should be good in design of parallel algorithms and optimization techniques. Knowledge of java and image processing skills are desirable.
- The resource is expected to assist in development of performance optimization algorithms in GPGPU environment. He or she is expected to assist the technical architect in development of the design of the entire optimization setup and contribute towards improving the performance. The candidate should be able to lead the team technically.
- We are looking for candidates with 1 to 5 years of experience in GPU Ph. D / M. Tech candidates preferred. B. Tech with sufficient work experience and exceptional career record also would be considered.
- Additionally we have opening for candidates well versed with MPI and Java. Experience using scheduling software such as PBS Pro and experience in Linux OS is desirable for this profile.
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