Founding Team CUDA developer

We’re searching for an experienced generalist low-level programming engineer to join our team at GatlingX to enhance the capabilities of our core products in order to unlock the possibilities within the new age of computing. As an early GatlingX hire, you will establish the foundation of our tech stack.

Job Responsibilities:

• Expand features surrounding GPU-EVM core to enable VM acceleration
• Take ownership over GPU-EVM core and improve build system, focusing on reliability, performance and scalability.
• Develop and improve the GPU-EVM fuzzer
• Monitor system performance, proactively identify issues, and ensure overall health and security.

About GatlingX:

♨️ GatlingX (https://x.com/gatling_x), building GPU-EVM, a massively parallelized-VM implementation w/ the highest throughput EVM implementation in the world by 100x. Our team are predominantly previously AI/RL/GPU specialists at Oxford University CS, and we’ve built GPU-EVM as MLOps infra for training AI/RL models for novel security vulnerability discovery modelled as a game. (Similar to AlphaGo discovering move 37, a novel Go Move) We’re interested in building many products leveraging GPU-EVM for security, one of the near future products being a GPU-EVM fuzzer, which will be state-of-the-art fuzzer for discovering vulnerabilities and hunting bug bounties.

We are in the future interested in developing MLOps tools to train AI/RL models to train “hacking intuition” to automate security penetration testing in the future.