Наши требования
3 + years (Intermediate) | 6+ years (Senior) building and shipping production ML systems
Strong distributed systems and infrastructure foundation — designing scalable, fault-tolerant services and operating them on Kubernetes in production
Familiarity with GPU and LLM infrastructure — e.g., PyTorch, DeepSpeed/FSDP, Ray, CUDA/NCCL, vLLM; able to debug across the data, infrastructure, and GPU layers
Demonstrated ability to harden complex systems for reliability, throughput, and cost efficiency
BS in Computer Science or a related field (MS/PhD a plus)
(Bonus) Hands-on LLM post-training / modeling experience — the strongest candidates pair deep infra skills with real post-training intuition
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com