Ipsator Analytics Pvt Ltd
Position Overview: The ideal candidate should have a strong background in parallel computing and performance optimization using CUDA.
Responsibilities:
- Identify and resolve performance issues and bugs related to CUDA usage.
- Analyse and improve algorithm performance through efficient parallelization.
- Stay updated with new technologies and best practices in CUDA and parallel computing.
Required Qualifications:
- Bachelors degree in Computer Science, Computer Engineering, or related fields.
- Minimum of 5 years of software development experience, with at least 2 years specifically in CUDA development.
- Ability to solve complex problems and work both independently and in a team.
- Good communication skills and ability to work in a collaborative environment.
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