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 donβt 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 β 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. Staff Software Engineer - Container Platform (Menlo Park) About the Role We build the foundational container platform that runs Snowflake's production, AI/ML, and CI workloads across AWS, Azure, and GCP, including a rapidly growing AI/ML footprint. Hundreds of large Kubernetes clusters under management and growing. The work is to make that fleet reliable, automated, and invisible to the thousands of engineers building on top of it. This is a staff-level role on a senior, high-performing platform team. You'll own hard problems end to end, drive technical direction across teams, and build the automation and platform abstractions that make operating at this scale sustainable. There is significant unsolved work ahead: improving the developer experience for thousands of internal engineers and continuing to scale the platform to meet Snowflake's growth. What You'll Do Own the design and delivery of large, complex platform initiatives spanning cluster lifecycle management, multi-cloud automation, and internal developer tooling. Identify and drive cross-team technical improvements across the platform, from architecture through adoption. Make and defend architectural trade-offs grounded in reliability, scalability, and operational reality. Act as a technical anchor for the team, dev
Senior/Staff Software Engineer - Machine Learning Platform (Inference)
Market pay estimate
$177,185β$210,950 / year for comparable Software Engineer roles in United States. Not employer-provided.
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 donβt 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 β 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. Build the future of data. Join the Snowflake team. The Snowflake Machine Learning Platform teamβs mission is to enable customers to bring their machine learning and deep learning workloads to Sn
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What they are looking for
Skills & requirements
Qualification
Have 7+ years of industry experience designing, building, and supporting Internet serving infrastructure, machine learning platforms, machine learning services, and frameworks. Strong track record of working with machine learning systems and/or platforms. Experience in serving LLMs using inference engines like vLLM, TensorRT-LLM, TEI, SGLang, and knowing tradeoffs between them. Experience serving fine-tuned LLMs (PEFT, DPO, RL). Experience with several of the following frameworks: SKLearn, XGBoost, PyTorch, Tensorflow, MLflow is a plus. Previous experience in building batch and real-time ML serving systems preferred. Have built a roadmap and vision around machine learning teams, and led technical decision making with help of architects and PMs and team. BS/MS/PhD in Computer Science or related majors, or equivalent experience Snowflake employee is expected to follow the companyβs confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the companyβs data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and weβre scaling our tea
Department Β· Engineering
Hiring company
Snowflake
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