Snowflake

Engineering

SoftwareEngineer,CortexAIInfrastructure

$160–225k Menlo Park, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Software Engineer, Cortex AI Infrastructure at Snowflake. Skills: Python, Distributed systems, Cloud-native architecture, AI infrastructure. Build Agentic Runtimes. Scale Context Engineering Infra”

What You'll Achieve.

Deliver results; Fast, reliable, scalable, and secure at the enterprise level; Maximum efficiency

Industry & Context.

Engineering
Problems you'll solve

Solve problems; Accelerate your impact

What They're Looking For.

Must Have

Bachelor's degree in Computer Science or a related technical, 4+ years of industry experience designing, building, and supporting distributed systems, high-throughput APIs, machine learning platforms, or data-intensive systems, Deep proficiency in Python, experience with Go or Java, understanding of database internals, distributed state management, cloud-native architecture

Nice to Have

Masters or PhD, Familiarity with C++, Kubernetes, FoundationDB, Experience setting up and maintaining CI/CD pipelines, Query optimization, SQL engine internals, Designing multi-tenant systems that handle sensitive enterprise data at scale, Developing search infrastructure for large-scale applications

What You'll Do.

Build Agentic Runtimes

Scale Context Engineering Infra

Develop the Evals Engine

Productionize AI Workflows

How You'll Work.

Team & Collaboration

Collaborate with the modeling 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. At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers who are energized by the opportunity to reinvent how they work. The Cortex Apps team is building the future of AI for enterprise data, and this role focuses on the backend infrastructure that powers our flagship products like Snowflake Intelligence, Cortex Agents, and Search. You won't just be using AI tools; you will be building the high-performance systems that orchestrate them, making agentic AI fast, reliable, scalable, and secure at the enterprise level. What you will do in this role: - Build Agentic Runtimes: Help build and scale the orchestration engines that execute complex agentic workflows, ensuring low-latency tool execution and robust state management. - Scale Context Engineering Infra: Develop and design high-performance systems for RAG (Retrieval-Augmented Generation), including vector database integration, scalable search indexing, query processing, and semantic caching. - Develop the "Evals Engine": Build the automated infrastructure required to run massive-scale golden set simulations, error analysis pipelines, and experiments. - Productionize AI Workflows: Collaborate with the modeling team to take raw LLM capabilities and turn them into ha

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