Snowflake

1 month ago

Senior Software Engineer - Cortex Training ( Post LLM Training Platform)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Senior Software Engineer to advance Snowflake’s Cortex Training LLM post-training platform. You will design end-to-end ML infrastructure across APIs, control plane, and GPU data plane; scale multi-tenant GPU scheduling and regional pools; optimize training/inference/ RL loops under heavy load; and productionize research components for enterprise-grade reliability and performance.

Location: Bellevue

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 200,000 - 287,500 annually

Key Requirements

•5+ years 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).

Experience:5+ yearsMachine learningDistributed systemsLLMGPUInfrastructure

Education:Bachelor's

Skills:Problem-solvingCollaborationCuriosity

Tech Stack:PythonPyTorchDeepSpeedFSDPRayCUDANCCLVLLMKubernetes

Company Brief

Snowflake

Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn

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Snowflake

1 month ago

Senior Software Engineer - Cortex Training ( Post LLM Training Platform)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Bellevue

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 200,000 - 287,500 annually

Key Requirements

•5+ years 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).

Experience:5+ yearsMachine learningDistributed systemsLLMGPUInfrastructure

Education:Bachelor's

Skills:Problem-solvingCollaborationCuriosity

Tech Stack:PythonPyTorchDeepSpeedFSDPRayCUDANCCLVLLMKubernetes

Company Brief

Snowflake

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn