Acceler8 Talent ยท 3 days ago
Senior GPU Performance Engineer - CUDA
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Responsibilities
Design, develop, and optimize GPU-based algorithms and data structures to accelerate ZKP proof systems.
Collaborate with the engineering team to identify performance bottlenecks and propose innovative solutions.
Develop and maintain high-quality, well-documented code adhering to best practices for GPU programming.
Analyze and optimize performance across a wide range of GPU architectures.
Contribute to technical resources, including whitepapers and tutorials.
Mentor junior engineers on GPU-related topics and performance optimization techniques.
Qualification
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Required
Bachelor's degree in Computer Science, Computer Engineering, or related field; Master's or PhD preferred.
2+ years of experience in GPU computing, with a focus on performance optimization and parallel programming.
Proficiency in GPU programming languages such as CUDA.
Strong understanding of computer architecture, memory systems, and parallel algorithms.
Experience with profiling and debugging tools for GPU applications, such as NVIDIA Nsight.
Familiarity with ZKP applications and blockchain technologies is a plus.
Excellent problem-solving skills and ability to analyze complex systems.
Strong communication skills and ability to work effectively in a collaborative team environment.
Demonstrated passion for staying up-to-date with the latest advancements in GPU technology.
Preferred
Master's or PhD degree in Computer Science, Computer Engineering, or related field.
Familiarity with ZKP applications and blockchain technologies.
Benefits
Competitive base salary with founding member equity
Immersion in a team of top-notch global blockchain engineers
A flexible and innovative remote work environment
Room for continuous growth and development in the ZK field