Join us in creating the next generation compute platform for AGI. Are you ready to develop innovative hardware and software for the largest ML workloads, specifically for AGI? We are on the lookout for talented Compiler Engineers to help us become the forefront compute platform for AGI.
With over $80 million in Series A funding, we are advancing AI by designing powerful hardware optimized for Large Language Models (LLMs).
Our exceptional founding team, comprised of experts from Google's PaLM, is dedicated to enabling researchers to train 7B-class models daily and 70B-class models several times a month using our cutting-edge hardware.
As a Compiler Engineer, you will play a pivotal role in shaping the future of AGI by creating advanced compilers for our proprietary hardware. You'll engage in innovative work, from silicon to systems development in Rust. This position allows you to explore mid-end and backend development, influence hardware architecture, and optimize performance for extensive ML workloads.
Key Requirements:
- Bachelor's degree in Computer Science or a related field
- Experience in compiler algorithms, showcasing proficiency in register allocation, instruction scheduling, instruction selection, and loop optimizations
- Preferred experience in low-level software optimization, including parallelism and SIMD programming, proficiency in C or assembly-level optimization, and knowledge of GPU kernels
This role is hybrid, based in the Bay Area.