高级软件工程师 - CUDA
Senior Software Engineer - CUDA
Snarkify 正在寻找一位经验丰富的高级 GPU 性能工程师加入我们的团队，推动零知识证明（ZKP）加速领域的前沿发展。作为团队的关键成员，你将有机会通过优化基于 GPU 的 ZKP 解决方案，塑造现代密码学和去中心化应用的未来。
在这个职位上，你将与我们的工程团队合作，识别性能瓶颈，并设计创新的基于 GPU 的算法和数据结构，推动 ZKP 加速的边界。你在 GPU 计算、性能优化和平行编程方面的专业知识将对开发高性能、节能的解决方案起到关键作用，重新定义 ZKPs 的能力，并为真正的去中心化未来奠定基础。
职责
- 设计、开发和优化基于 GPU 的算法和数据结构，以加速 ZKP 证明系统及相关计算。
- 与工程团队合作，识别性能瓶颈，并提出创新解决方案以提高整体系统效率。
- 开发并维护高质量、文档齐全的代码，遵循 GPU 编程的最佳实践。
- 分析并优化多种 GPU 架构上的性能，确保最大性能和兼容性。
- 跟踪最新的 GPU 技术、编程技术和行业最佳实践。
- 参与创建技术资源，包括白皮书、教程和演示文稿，分享知识并推广我们的基于 GPU 的解决方案。
- 指导初级工程师，提供 GPU 相关主题和性能优化技术的指导。
- 计算机科学、计算机工程或相关领域的学士学位；硕士或博士优先。
- 2 年以上 GPU 计算经验，重点在性能优化和平行编程。
- 精通 GPU 编程语言，如 CUDA。
- 对计算机架构、内存系统和并行算法有深入理解。
- 有使用 GPU 应用的分析和调试工具的经验，如 NVIDIA Nsight。
- 了解 ZKP 应用和区块链技术者优先。
- 优秀的解决问题能力，能够分析复杂系统。
- 强大的沟通能力，能够有效在团队中工作。
查看英文原文
Snarkify is seeking an experienced and highly skilled Senior GPU Performance Engineer to join our team and play a pivotal role in advancing the state-of-the-art in Zero-Knowledge Proof (ZKP) acceleration. As a key member of our team, you will have the unique opportunity to shape the future of modern cryptography and decentralized applications by optimizing GPU-based solutions for ZKP applications.
In this role, you will collaborate with our engineering team to identify performance bottlenecks and design innovative GPU-based algorithms and data structures that push the boundaries of ZKP acceleration. Your expertise in GPU computing, performance optimization, and parallel programming will be instrumental in driving the development of high-performance, energy-efficient solutions that redefine the capabilities of ZKPs and lay the foundation for a truly decentralized future.
Responsibilities
- 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.
- 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.
Benefits
- Competitive base salary with founding member equity.
- The opportunity to build the next-generation ZK computing platform.
- 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.
At Snarkify, we are passionately driven by our mission to scale zero-knowledge proofs (ZKPs) for a decentralized future. We empower developers by providing robust infrastructure and user-friendly tools, enabling them to effectively build, deploy, and scale ZKP applications. Our operations are steered by a stellar founding team comprising two Ph.D. holders and a Master holder. Our founders carry exceptional expertise gained from renowned organizations such as the Ethereum Foundation, Facebook, Amazon, and Dropbox. Through the application of folding schemes, proof aggregation, and GPU acceleration, we're pushing the scalability of proof systems to unprecedented levels. Through this unwavering commitment, we are shaping a future that promises enhanced security, privacy, and decentralization.
Originally posted on Himalayas