Snowflake
Technology
SeniorSoftwareEngineer—LLMPost-TrainingPlatform
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer — LLM Post-Training Platform at Snowflake. Skills: LLM post-training, ML infrastructure, Distributed systems. Design across full stack. Build across full stack”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
5+ years building production ML systems, Distributed systems and infrastructure foundation, Designing scalable, fault-tolerant services, Operating services on Kubernetes, Familiarity with GPU and LLM infrastructure, Debugging across data, infrastructure, GPU layers, Harden complex systems for reliability, Harden complex systems for throughput, Harden complex systems for cost efficiency, BS in Computer Science
Nice to Have
MS/PhD a plus, Hands-on LLM post-training experience, Deep infra skills with post-training intuition
What You'll Do.
Design across full stack
Build across full stack
Build public training APIs
Scale distributed systems
Make GPU compute serverless
Multi-tenant scheduling
Capacity-aware routing
Drive end-to-end performance
Keep training loops fast
Keep inference loops fast
Keep data plane responsive
Productionize research building blocks
Turn training techniques into components
Turn inference techniques into components
How You'll Work.
Team & Collaboration
Snowflake Research; ML Platform team
Full Job Description
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. SENIOR SOFTWARE ENGINEER — LLM POST-TRAINING PLATFORM The Snowflake ML Platform team's mission is to let customers run their most demanding ML/AI workloads inside Snowflake. Cortex Training is our LLM post-training platform: it turns scarce, expensive GPU capacity into a simple, composable service, so customers can adapt open-weight foundation models to their own business problems while we handle the hard distributed-systems parts, including scheduling, orchestration, multi-node training and inference, fault tolerance, and throughput. The platform already runs post-training at scale. Under the hood, it decouples GPU computation from the training loop and exposes it as primitive APIs that compose into everything from SFT to full RL workflows. You'll work alongside a team that ships fast & sweats reliability and the researchers behind DeepSpeed. We're looking for an engineer who thrives in the ML infrastructure layer and brings a solid understanding of LLMs and post-training to help us scale and grow it. YOU WILL: - Design and build across the full stack — from the public training APIs and SDK through the control plane to the GPU data plane. - Scale the distributed systems that make GPU compute serverless — multi-tenant scheduling, placement, and capacity-aware routing across
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