Intermediate/ Senior Software Engineer - Cortex LLM Training Platform

About the Position

Intermediate/ Senior Software Engineer - Cortex LLM Training Platform

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.

Responsibilities

As a Senior Software Engineer for the Cortex Training platform, 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 regional GPU pools, with fault tolerance built in.
• Drive end-to-end performance at scale - keep the training, inference, and RL loops fast and the data plane responsive under heavy concurrent load, with GPUs kept saturated.
• Productionize research building blocks - partner with Snowflake Research to turn state-of-the-art training and inference techniques into reliable, composable components customers can run at enterprise scale.

Requirements

• 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).

Nice to Have

• Hands-on LLM post-training / modeling experience - the strongest candidates pair deep infra skills with real post-training intuition.

We Offer

• Competitive salary range: $200K – $287.5K
• Full-time position
• Hybrid work location in Bellevue, Washington, United States

About the Company

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.

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