What are the responsibilities and job description for the Senior Software Engineer - CUDA position at Snarkify?
Company Description
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.
Job Description
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.
Qualifications
Additional Information
Benefits