Advanced CUDA Performance Optimizer
3 weeks ago
We are seeking a highly skilled CUDA Developer with extensive experience in C++ and parallel computing to join our team at CUTTING EDGE SEARCH. This role offers an exciting opportunity to work on performance optimization and algorithm efficiency using CUDA.
The ideal candidate will have a strong background in C++, parallel computing, and Large Language Models (LLMs). Key responsibilities include diagnosing and resolving performance issues and bugs within CUDA applications, optimizing algorithms, and staying updated with advancements in CUDA, parallel computing, and machine learning best practices.
To succeed in this position, you should possess the following qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, or a closely related field.
- A minimum of 5 years of professional software development experience.
- At least 5 years of hands-on experience with C++.
- 2 years of experience working with CUDA development.
- 2 years of experience with Large Language Models (LLMs).
- Strong problem-solving abilities, capable of working independently or within a team.
- Effective communication skills for collaborative teamwork.
- Familiarity with CUDA version 12.0 or later versions (preference for 12.3).
- Knowledge of frameworks and libraries like cuBLAS and cuDNN.
- Proficiency in performance optimization and resource-efficient coding practices.
The salary for this position is estimated to be around $120,000 - $180,000 per year, depending on experience and location. We offer a range of benefits, including health insurance, retirement plans, and opportunities for career growth and development.
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