S
Bellevue, Washington, United States· Full-time
KubernetesAIGoRust
S
Active1mo ago
Intermediate/ Senior Software Engineer - Cortex LLM Training Platform
Pay vs market · Top quarter
This job's pay ($243,750 a year at the midpoint) is higher than about 75% of 443 salary-listed Senior Software Engineer jobs in United States in the last 12 months; their median is $216,000.
Role overview
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 — Cortex Training 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
…About this listing
- Source: Snowflake's official careers site (via Ashby) · last confirmed on the source 1 Nov 2026
- Posted 17 Sept 2026
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Role market pulse
How Senior Software Engineer demand looks in United States
Live jobs
555
Posted 30d
180
30d movement
-10.4%
Remote share
27.7%
Salary listed
80%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
kubernetesai
Qualification
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). (Bonus) Hands-on LLM post-training / modeling experience — the strongest candidates pair deep infra skills with real post-training intuition. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? 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
Department · Engineering
Hiring company
Snowflake
Technology
Snowflake enables organizations to collaborate, build AI-powered data apps, and unlock data insights—all within a secure and scalable AI Data Cloud.
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