Senior ML Software Engineer @ Groq
Original research, innovative stack.
Groq’s Pitch
Why join Groq? AI will change humanity forever, and we believe preservation of human agency and self determination is only possible if AI is made affordably and universally accessible. Groq’s LPUs will power AI from an early stage, and you will get to leave your fingerprint on civilization.
Tackling Problems
Responsibilities & opportunities in this role:
- Develop kernels and models (both customer and public domain models) for Groq hardware using low-level proprietary frameworks and popular higher-level machine learning frameworks. The models will span domains from machine learning (computer vision, natural language processing, recommendation engines, reinforcement learning) to high-performance computing (linear algebra)
- Optimize models for Groq’s hardware by exploiting proprietary hardware features
- Performance analysis of models on Groq hardware
- Performance analysis of large-scale systems built using Groq hardware
- Performance analysis of models on competitor hardware/systems
- Contribute to driving features into Groq’s hardware based on model optimizations/insight
- Publish research papers on ML model optimizations and hardware in top-tier ML conferences.