Gpu Engineer
XYZ
πRemote - United States
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Job highlights
Summary
Join Axiom, a company utilizing zero-knowledge proofs to scale smart contract applications, as a GPU Engineer. You will implement and optimize cryptographic code for zero-knowledge proof generation on GPUs, focusing on CUDA implementation and performance optimization. Prior ZK proof experience isn't required, but rapid learning is crucial. The role demands proficiency in CUDA, a strong math/cryptography background or problem-solving skills, and expertise in Rust, C/C++, or a similar language. Axiom offers a competitive salary with equity, the opportunity to work on groundbreaking technology, and mentorship from an exceptional team. While the office is in NYC, remote work is considered.
Requirements
- Experience writing performant code in CUDA, including handling memory pipelining to deliver an optimized end-to-end solution
- Strong background in math/cryptography, or strong problem-solving skills and interest in zero-knowledge proofs
- Proficiency in Rust, C/C++, or a similarly performant backend language
- Extremely detail oriented and have a security mindset
- Worked on challenging software projects and have an eye for performance
- Clear communicator and value collaboration
- Strong bias towards action
- Extremely strong work ethic
Responsibilities
- Implement ZK provers in CUDA
- Investigate GPU performance of new proof systems
- Optimize the end-to-end performance of the overall system
Preferred Qualifications
- Hands-on experience working with computer architecture, e.g. compilers, ISAs, processors
- Experience with compiler frameworks like LLVM or MLIR
- Worked with aspects of low level computer architecture like RISC-V or programmed FGPAs or other custom hardware
- Done research in mathematics, theoretical computer science, or theoretical physics
Benefits
- Competitive salary with equity
- Mentorship from an exceptional team
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