Intermediate/ Senior Software Engineer - Cortex LLM Training Platform
About this role
In Bellevue, Washington, Snowflake offers an Intermediate or Senior Software Engineer position focused on the Cortex LLM Training Platform. This role suits a professional with a strong distributed systems background who wants to build scalable infrastructure for machine learning post-training.
Role Overview
Snowflake seeks a software engineer to join the ML Platform team and contribute to Cortex Training, an LLM post-training platform. The position involves transforming complex GPU capacity into a composable service so customers can adapt open-weight foundation models. The selected candidate will collaborate with researchers and engineers to scale distributed systems and optimize performance.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
The salary range for this position is $200,000 to $287,500. Additional benefits information is available on the official company careers site.
About the Company
Snowflake powers the era of the agentic enterprise by enabling customers to run demanding machine learning and artificial intelligence workloads. The organization values low-ego individuals who thrive in dynamic environments and apply an experimental mindset to solve problems.
How to Apply
Interested candidates should apply on the official company careers page at careers.snowflake.com.
Skills and tech stack
Questions candidates ask
What is the location of this job?
This position is located in Bellevue, Washington (US-WA-Bellevue).
What is the salary range for the role?
The salary ranges from $200,000 to $287,500.
What experience level is required?
The role requires at least 3 years of experience for the intermediate level or 6+ years for the senior level in building and shipping production machine learning systems.
What education is needed?
A Bachelor of Science in Computer Science or a related field is required, while a Master of Science or PhD is noted as a plus.
What core technologies will I work with?
You will work with Kubernetes, PyTorch, DeepSpeed, FSDP, Ray, CUDA, NCCL, and vLLM.