Senior Software Engineer – CUDA

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🕒 Abril 1

🏄 California – Remoto

🏄 California – Remote

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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Snarkify

SiteLinkedInTodas as Vagas

1 - 10 funcionários

☁️ SaaS

₿ Cripto

🌐 Web 3

SaaS • Crypto • Web 3

A Snarkify é uma empresa de tecnologia focada no desenvolvimento, implementação e escalonamento de aplicações de provas de conhecimento zero (ZKP). Com uma equipe de especialistas que possui vasta experiência em computação de alto desempenho, sistemas operacionais, tecnologia GPU e sistemas distribuídos, a Snarkify tem como objetivo liderar o caminho para criar um futuro sem confiança através de protocolos criptográficos avançados. Os fundadores e membros da equipe da empresa trazem experiência de empresas líderes em tecnologia, como Facebook, Nvidia e Amazon, e eles se especializam em ZKP e protocolos de camada 1. A Snarkify é uma pioneira na interseção entre criptografia e engenharia de software, buscando capacitar os desenvolvedores com ferramentas e tecnologias de ponta para aplicações ZKP.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.