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# GPU Performance Engineer

- **Company:** Snarkify, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Profiling, Nvidia CUDA, Computer Engineering, Software Debugging, General-Purpose Computing on Graphics Processing Units, Performance Tuning, Blockchain, Parallel Computation, Gpu Programming, Information Technology
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/senior-software-engineer-cuda-snarkify-6355593

## About the Role

* Bachelor's degree in Computer Science, Computer Engineering, or a related field; Master's or PhD preferred.
 * 2+ years of experience in GPU computing, with a focus on performance optimization and parallel programming.
 * Proficient 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, with the ability to work effectively in a collaborative team environment.
 * Demonstrated passion for staying up-to-date with the latest advancements in GPU technology and a commitment to continuous learning.

## Description

* Design, develop, and optimize GPU-based algorithms and data structures to accelerate ZKP proof systems and related computations.
 * Collaborate with the engineering team to identify performance bottlenecks and propose innovative solutions to improve overall system efficiency.
 * Develop and maintain high-quality, well-documented code that adheres to best practices for GPU programming.
 * Analyze and optimize performance across a wide range of GPU architectures, ensuring maximum performance and compatibility.
 * Stay up-to-date with the latest advancements in GPU technology, programming techniques, and industry best practices.
 * Contribute to the creation of technical resources, including whitepapers, tutorials, and presentations, to share knowledge and promote our GPU-based solutions.
 * Mentor junior engineers and provide guidance on GPU-related topics and performance optimization techniques.


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