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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
Menlo Park · US · 9250+ employees
Snowflake Inc. is a cloud-based data platform company that provides a fully managed service for data warehousing, data lakes, data engineering, and data sharing. Its architecture enables customers to consolidate data for analytics, AI applications, and secure data exchange across major public cloud infrastructure.
