Want to build the future compute platform for AGI?t
Want to build hardware and software to train and run the largest ML workloads for AGI?
We are currently looking for Compiler Engineers to join a company focusing on becoming THE compute platform for AGI.
The company has over $80 million in Series A funding and are enhancing AI by building powerful hardware, specifically tailored for Large Language Models (LLMs).
They have a top-tier founding team spinning out of Google’s PaLM and with their hardware, individual researchers can train 7B-class models from scratch every day, and 70B-class models multiple times per month.
As a Compiler Engineer, you will shape the future of AGI by designing cutting-edge compilers for proprietary hardware, driving innovation from silicon to systems in Rust at the core. Dive into mid-end and backend development while influencing hardware architecture and optimizing performance for the largest ML workloads.
Requirements
- Bachelor of Computer Science or equivalent degree
- Experience in compiler algorithms, demonstrating proficiency in areas such as register allocation, instruction scheduling, instruction selection, and loop optimizations
- Ideally experience optimizing software at a low level, including expertise in parallelism SIMD programming, C, or assembly-level optimization, and familiarity with GPU kernels
This role is hybrid in the Bay Area