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This listing was closed on Jul 18, 2026.
Browse Open JobsSenior Software Engineer — LLM Post-Training Platform
Summary by AIEngineer.careers
Senior Software Engineer — LLM Post-Training Platform is a AI Engineer role (full-time). with Snowflake. in BELLEVUE, US. Compensation shown: $160K–$230K. Imported listing (source: linkedin.com). Apply on the employer's site (linkedin.com).
Imported listing (source: linkedin.com) · Apply on linkedin.com
BELLEVUE · US
$160K–$230K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from linkedin.com
Snowflake's ML Platform team is building Cortex Training, an LLM post-training platform that turns scarce GPU capacity into a simple, composable service. We are looking for a senior software engineer to design and build across the full stack, scale distributed systems, drive end-to-end performance, and productionize research building blocks.
Responsibilities
- Design and build across the full stack — from public training APIs and SDK through the control plane to the GPU data plane. Scale distributed systems for GPU compute serverless with multi-tenant scheduling, placement, capacity-aware routing, and fault tolerance. Drive end-to-end performance at scale, keeping training, inference, and RL loops fast and GPUs saturated. Productionize research building blocks by partnering with Snowflake Research to turn state-of-the-art techniques into reliable, composable components.
Requirements
- 5+ years building and shipping production ML systems. Strong distributed systems and infrastructure foundation — designing scalable, fault-tolerant services on Kubernetes. Familiarity with GPU and LLM infrastructure (PyTorch, DeepSpeed/FSDP, Ray, CUDA/NCCL, vLLM). Demonstrated ability to harden systems for reliability, throughput, and cost efficiency. BS in Computer Science or related field.
Snowflake
Bozeman · US · 12042+ employees
Snowflake is a software company that provides the AI Data Cloud, a platform for data warehousing, engineering, science, and application development. It enables organizations to unite siloed data and execute diverse analytical workloads across public clouds.
