Senior Software Engineer – CUDA

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🕒 April 1

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Snarkify

WebsiteLinkedInAll Job Openings

1 - 10 employees

☁️ SaaS

₿ Crypto

🌐 Web 3

SaaS • Crypto • Web 3

Snarkify is a technology company focused on developing, deploying, and scaling zero-knowledge proof (ZKP) applications. With a team of experts who have extensive experience in high-performance computing, operating systems, GPU technology, and distributed systems, Snarkify aims to lead the way in creating a trustless future through advanced cryptographic protocols. The company's founders and team members bring experience from leading tech companies such as Facebook, Nvidia, and Amazon, and they specialize in ZKP and layer-1 protocols. Snarkify is a pioneer at the intersection of cryptography and software engineering, seeking to empower developers with cutting-edge tools and technologies for ZKP applications.

📋 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.

🎯 Requirements

• 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.