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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. We are hiring a Staff Software Engineer for our Frontier Security AI team. Snowflake's Frontier Security AI teams develop production-grade LLM applications, intelligent agents, AI infrastructure, and evaluation systems for enterprise customers — products that must meet a high bar for quality, security, reliability, and efficiency while operating over sensitive data at large scale. In this role, you will lead the design and development of our Agentic Harness and agent evaluation platform, working across product, infrastructure, applied AI, security, and modeling teams to take new capabilities from prototype to dependable customer value. AS A STAFF SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Architect and build the Agentic Harness that executes complex, multi-step AI workflows across models, tools, data, and services. Design stable interfaces for tool execution, context construction, state management, memory, permissions, retries, fallbacks, and human review. Own agent quality end to end by building evaluation harnesses, representative datasets, automated graders, experiment pipelines, and release gates. Convert ambiguous reports such as "the agent feels worse" into measurable failure modes, reproducible tests, and durable fixes. Analyze production agent trajectories to identify failures in reasoning, retrieval, tool use, context, orchestration, and application code. Close the loop between production incidents, root-cause analysis, evaluation coverage, and regression prevention. Develop offline and online measurements for task completion, correctness, groundedness, safety, latency, reliability, and cost. Build simulation and replay infrastructure for golden-set tests, adversarial scenarios, model comparisons, and large-scale experiments. Improve agent efficiency through model routing, prompt and semantic caching, context compaction, tool-result management, and token optimization. Productionize new model capabilities as secure, observable, multi-tenant services with clear operational controls. Establish standards for evaluation design, including sampling, ground-truth quality, grader calibration, leakage prevention, and statistical significance. Define technical direction across multiple teams and lead projects whose scope extends beyond a single service. Mentor engineers, raise the quality of architecture reviews, and remain directly involved in implementation and debugging. OUR IDEAL STAFF SOFTWARE ENGINEER WILL HAVE: 9+ years of software engineering experience, including technical leadership of complex production systems. Direct experience shipping and operating LLM applications, AI agents, or model-backed workflows in production. Strong background in distributed systems, service architecture, high-throughput APIs, concurrency, and failure handling. Experience building an agent runtime, workflow engine, developer platform, evaluation system, or similar infrastructure. Demonstrated ability to evaluate nondeterministic systems without relying on a single aggregate score. Fluency in Python and strong proficiency in at least one systems or application language such as Java, Go, Rust, or TypeScript. Hands-on knowledge of tool calling, structured generation, retrieval, context engineering, prompt management, and model APIs. Experience with production observability, including structured traces, replay, metrics, logs, and incident diagnosis. Ability to balance agent quality with latency, reliability, security, and inference cost. Track record of setting technical direction and delivering results across organizational boundaries. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Clear written and verbal communication with engineering, product, and leadership audiences. BONUS POINTS FOR THE FOLLOWING: Building evaluation or observability infrastructure for agentic coding, data engineering, or analytics systems. Designing human-evaluation programs, scoring rubrics, annotation workflows, or grader-calibration methods. Working with multi-agent orchestration, long-running agents, asynchronous workflows, or durable execution. Developing synthetic tasks, simulations, adversarial tests, red-team exercises, or safety guardrails. Building retrieval systems that use vector search, hybrid search, semantic indexing, ranking, or caching. Operating multi-tenant systems that process sensitive enterprise data. Working with model training, fine-tuning, reinforcement learning, or feedback-driven optimization. Evaluating and onboarding frontier models based on measured product outcomes. Experience with databases, SQL engines, data platforms, Kubernetes, or cloud-native infrastructure. YOU MAY BE A PARTICULARLY GOOD FIT IF YOU: Treat evaluation as part of product engineering rather than a final validation step. Can move between agent behavior, distributed infrastructure, data analysis, and production debugging. Question metrics that do not reconcile and design tests that can expose misleading results. Take ownership from early architecture through deployment, operations, and measurable customer outcomes. Prefer evidence from representative tasks and production behavior over isolated benchmark results. Work effectively in fast-moving environments where requirements develop through experimentation. 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

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. Software Engineer Intern (AI / ML) - Spring 2027 Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a world-class organization with offices in more than a dozen countries and serving many more. Expanding on Snowflake's trust promise and with the explosion of language models, we will democratize the ability to easily glean insights from massive amounts of structured and unstructured data using AI and natural language, from running powerful batch analysis to accurately answering interactive questions about any type of data. We're looking for dedicated students who share our passion for groundbreaking technology and want to create a lasting future for Snowflake and you. What We Offer: Paid, full-time internships in the heart of the software industry Exposure to a fast-paced, fun, and inclusive culture A chance to work with world-class experts on challenging projects Opportunity to provide meaningful contributions to a real system used by customers High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation Stuff that matters: treated as a member of the Snowflake team, included in company meetings/activities, flexible hours, casual dress code, accommodations to work from home, swag, and much more Catered lunches, access to gaming consoles, recreational games, happy hours, company outings, and more What We Expect: Must be actively enrolled in an accredited college/university program during the time of the internship Desired class level: Masters, or PhD Desired majors: Computer Science, Computer Engineering, Electrical Engineering, Physics, Math, or related field Recommended coursework: artificial intelligence, machine learning, deep learning, federated learning, efficient LLMs, information retrieval, predictive & generative modeling, natural language processing, differential privacy, cloud computing, distributed & operating systems Research or publications in AI, ML, NLP, or CV or major contributions to open source When: Spring 2027 Eligible start date options: January 4, 2027; January 19, 2027 Eligible end date options: March 26, 2027; April 9, 2027; May 7, 2027 Duration: 12-16 weeks recommended, more than 16 weeks also encouraged (12 month maximum) Excellent programming skills in Python, Golang, and Java Preferred knowledge of PyTorch or CUDA Experience with working as a part of a team Dedication and passion for technology What You Will Learn/Gain: Engineering for Scale: Learn to build highly integrated, secure, and scalable products that enable end-to-end ML workflows Agentic Workflows: Gain experience with agentic testing, iteration, and managing complex workflows for SQL generation Evaluation & Trust: Understand how to build evaluation loops to measure the groundedness, reliability, and safety of AI-powered features Multimodal Data Processing: Learn how to apply AI operations natively to both structured and unstructured data within a cloud database High-Performance Research: Gain exposure to hardware performance optimization to achieve better LLM throughput Possible Teams/Work Focus Areas: Applied AI: Building production-grade AI systems (agents, RAG pipelines, LLM integrations) and deploying them with strategic customers ML Platform: Developing infrastructure for feature stores, MLOps, and highly optimized runtimes for both structured and unstructured data LLM Products & Snowflake Intelligence: Creating AI systems that reason over governed data and shipping features like design prompts and agent workflows AI Migrations (Agents for Code): Building intelligent agents to automate SQL code conversion and data migrations using Java, Go, and LangGraph Cortex Search, Analyst & Agents: Developing low-latency fuzzy search (Cortex Search), natural language interfaces for business questions (Cortex Analyst), and custom AI agents Cortex AI in SQL: Integrating generative AI directly into database queries to handle multimodal data natively Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's 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 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

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. Software Engineer Intern (AI / ML) - Spring 2027 Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a world-class organization with offices in more than a dozen countries and serving many more. Expanding on Snowflake's trust promise and with the explosion of language models, we will democratize the ability to easily glean insights from massive amounts of structured and unstructured data using AI and natural language, from running powerful batch analysis to accurately answering interactive questions about any type of data. We're looking for dedicated students who share our passion for groundbreaking technology and want to create a lasting future for Snowflake and you. What We Offer: Paid, full-time internships in the heart of the software industry Exposure to a fast-paced, fun, and inclusive culture A chance to work with world-class experts on challenging projects Opportunity to provide meaningful contributions to a real system used by customers High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation Stuff that matters: treated as a member of the Snowflake team, included in company meetings/activities, flexible hours, casual dress code, accommodations to work from home, swag, and much more Catered lunches, access to gaming consoles, recreational games, happy hours, company outings, and more What We Expect: Must be actively enrolled in an accredited college/university program during the time of the internship Desired class level: Masters, or PhD Desired majors: Computer Science, Computer Engineering, Electrical Engineering, Physics, Math, or related field Recommended coursework: artificial intelligence, machine learning, deep learning, federated learning, efficient LLMs, information retrieval, predictive & generative modeling, natural language processing, differential privacy, cloud computing, distributed & operating systems Research or publications in AI, ML, NLP, or CV or major contributions to open source When: Spring 2027 Eligible start date options: January 4, 2027; January 19, 2027 Eligible end date options: March 26, 2027; April 9, 2027; May 7, 2027 Duration: 12-16 weeks recommended, more than 16 weeks also encouraged (12 month maximum) Excellent programming skills in Python, Golang, and Java Preferred knowledge of PyTorch or CUDA Experience with working as a part of a team Dedication and passion for technology What You Will Learn/Gain: Engineering for Scale: Learn to build highly integrated, secure, and scalable products that enable end-to-end ML workflows Agentic Workflows: Gain experience with agentic testing, iteration, and managing complex workflows for SQL generation Evaluation & Trust: Understand how to build evaluation loops to measure the groundedness, reliability, and safety of AI-powered features Multimodal Data Processing: Learn how to apply AI operations natively to both structured and unstructured data within a cloud database High-Performance Research: Gain exposure to hardware performance optimization to achieve better LLM throughput Possible Teams/Work Focus Areas: Applied AI: Building production-grade AI systems (agents, RAG pipelines, LLM integrations) and deploying them with strategic customers ML Platform: Developing infrastructure for feature stores, MLOps, and highly optimized runtimes for both structured and unstructured data LLM Products & Snowflake Intelligence: Creating AI systems that reason over governed data and shipping features like design prompts and agent workflows AI Migrations (Agents for Code): Building intelligent agents to automate SQL code conversion and data migrations using Java, Go, and LangGraph Cortex Search, Analyst & Agents: Developing low-latency fuzzy search (Cortex Search), natural language interfaces for business questions (Cortex Analyst), and custom AI agents Cortex AI in SQL: Integrating generative AI directly into database queries to handle multimodal data natively Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's 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 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

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. Software Engineer Intern (Database Engineering) - Spring 2027 Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more. We're looking for dedicated students who share our passion for ground-breaking technology and want to create a lasting future for you and Snowflake. What We Offer: Paid, full-time internships in the heart of the software industry Exposure to a fast-paced, fun and inclusive culture A chance to work with world-class experts on challenging projects Opportunity to provide meaningful contributions to a real system used by customers High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation Stuff that matters: treated as a member of the Snowflake team, included in company meetings/activities, flexible hours, casual dress code, accommodations to work from home, swag and much more When return to office in effect, catered lunches, access to gaming consoles, recreational games, happy hours, company outings, and more What We Expect: Must be actively enrolled in an accredited college/university program during the time of the internship Desired class level: 3rd/4th year Undergraduates, Masters, or PhD Desired majors: Computer Science, Computer Engineering, Electrical Engineering, Physics, Math, or related field Required coursework: algorithms, data structures, software engineering, and operating systems Recommended coursework: cloud computing, compilers, database systems, distributed systems, functional PL, networking Bonus experience: research or publications in databases or distributed systems, and contributions to open source Experience working with big data (engineering / processing) When: Spring 2027 Eligible start date options: January 4, 2027; January 19, 2027 Eligible end date options: March 26, 2027; April 9, 2027; May 7, 2027 Duration: 12 week minimum, 16 weeks recommended (12 month maximum) Excellent programming skills in C++ or Java Preferred knowledge of C++20 or C++17, Java 20 or Java 17 Knowledge of data structures and algorithms Systems programming skills including multi-threading, concurrency, etc. Strong problem solving and ability to learn quickly in a dynamic environment Experience with working as a part of a team Dedication and passion for technology What You Will Learn/Gain: How to build enterprise grade, reliable, and trustworthy software/services Exposure to SQL or other database technologies (e.g., Spark, Hadoop) Understanding of database internals, large-scale data processing, transaction processing, distributed systems, and data warehouse design Implementation, testing of features in query compilation, compiler design, query execution Experience working with cloud infrastructure, AWS, Azure, and/or Google Cloud in particular Learning about cutting edge database technology and research Possible Teams/Work Focus Areas: Various spaces within Database Query Engine (such as the compiler, query optimization, query execution & performance, SQL frameworks, etc.), FoundationDB key-value store (FDB storage, FDB Performance, etc.), and Hybrid Transactional & Analytical Processing (Unistore) High performance large-scale data processing Large-scale distributed systems Software-as-a-Service platform Software frameworks for stability and performance testing Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's 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 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

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. Software Engineer Intern (Database Engineering) - Spring 2027 Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more. We're looking for dedicated students who share our passion for ground-breaking technology and want to create a lasting future for you and Snowflake. What We Offer: Paid, full-time internships in the heart of the software industry Exposure to a fast-paced, fun and inclusive culture A chance to work with world-class experts on challenging projects Opportunity to provide meaningful contributions to a real system used by customers High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation Stuff that matters: treated as a member of the Snowflake team, included in company meetings/activities, flexible hours, casual dress code, accommodations to work from home, swag and much more When return to office in effect, catered lunches, access to gaming consoles, recreational games, happy hours, company outings, and more What We Expect: Must be actively enrolled in an accredited college/university program during the time of the internship Desired class level: 3rd/4th year Undergraduates, Masters, or PhD Desired majors: Computer Science, Computer Engineering, Electrical Engineering, Physics, Math, or related field Required coursework: algorithms, data structures, software engineering, and operating systems Recommended coursework: cloud computing, compilers, database systems, distributed systems, functional PL, networking Bonus experience: research or publications in databases or distributed systems, and contributions to open source Experience working with big data (engineering / processing) When: Spring 2027 Eligible start date options: January 4, 2027; January 19, 2027 Eligible end date options: March 26, 2027; April 9, 2027; May 7, 2027 Duration: 12 week minimum, 16 weeks recommended (12 month maximum) Excellent programming skills in C++ or Java Preferred knowledge of C++20 or C++17, Java 20 or Java 17 Knowledge of data structures and algorithms Systems programming skills including multi-threading, concurrency, etc. Strong problem solving and ability to learn quickly in a dynamic environment Experience with working as a part of a team Dedication and passion for technology What You Will Learn/Gain: How to build enterprise grade, reliable, and trustworthy software/services Exposure to SQL or other database technologies (e.g., Spark, Hadoop) Understanding of database internals, large-scale data processing, transaction processing, distributed systems, and data warehouse design Implementation, testing of features in query compilation, compiler design, query execution Experience working with cloud infrastructure, AWS, Azure, and/or Google Cloud in particular Learning about cutting edge database technology and research Possible Teams/Work Focus Areas: Various spaces within Database Query Engine (such as the compiler, query optimization, query execution & performance, SQL frameworks, etc.), FoundationDB key-value store (FDB storage, FDB Performance, etc.), and Hybrid Transactional & Analytical Processing (Unistore) High performance large-scale data processing Large-scale distributed systems Software-as-a-Service platform Software frameworks for stability and performance testing Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's 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 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

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. Software Engineer Intern (Core, Infrastructure & Security) — Spring 2027 Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. We're looking for dedicated students who share our passion for groundbreaking technology and want to create a lasting future for Snowflake and you. This internship spans three of Snowflake's most technically demanding engineering domains — Core Engineering, Infrastructure Automation, and Security Engineering — giving you the opportunity to build the systems, automation, and trust layers that underpin Snowflake's global data platform. What We Offer Paid, full-time internships in the heart of the software industry Exposure to a fast-paced, fun, and inclusive culture A chance to work with world-class experts on challenging projects Opportunity to provide meaningful contributions to a real system used by customers High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation Stuff that matters: treated as a member of the Snowflake team, included in company meetings/activities, flexible hours, casual dress code, accommodations to work from home, swag, and much more Catered lunches, access to gaming consoles, recreational games, happy hours, company outings, and more What We Expect Must be actively enrolled in an accredited college/university program during the time of the internship Desired class level: 3rd/4th year Undergraduates, Masters, or PhD Desired majors: Computer Science, Computer Engineering, Electrical Engineering, Physics, Math, or related field Required coursework: algorithms, data structures, object-oriented programming, operating systems Recommended coursework: cloud computing, database systems, distributed systems, cryptography & authentication, networking Bonus experience: research or publications in security, distributed systems, or systems programming; contributions to open source When: Spring 2027 Eligible start date options: January 4, 2027; January 19, 2027 Eligible end date options: March 26, 2027; April 9, 2027; May 7, 2027 Duration: 12 week minimum, 16 weeks recommended (12 month maximum) Technical Skills Excellent programming skills in Java, C++, Go, and/or Python Preferred knowledge of C++20/C++17 or Java 20/Java 17 Knowledge of data structures and algorithms Systems programming skills including multi-threading, concurrency, etc. Experience with DevOps tooling (Jenkins, Ansible, Terraform) and containerization (Kubernetes, Docker) a plus Strong problem solving and ability to learn quickly in a dynamic environment Experience working as part of a team Dedication and passion for technology What You Will Learn/Gain How to build enterprise grade, reliable, and trustworthy software/services Exposure to SQL or other database technologies (e.g., Spark, Hadoop) Exposure to security, cryptography, access control, and identity and access management technologies Understanding of database internals, large-scale data processing, distributed systems, and data warehouse design Experience building automation frameworks and infrastructure to improve engineering workflow efficiency Experience delivering quality software in large distributed systems with emphasis on functional and performance automation Experience working with cloud infrastructure — AWS, Azure, and/or Google Cloud in particular Learning about cutting-edge database technology and research Possible Teams/Work Focus Areas Core Engineering Platform & Infrastructure Engineering, Public Sector Security & Governance, Marketplace & Apps, Data Engineering & Open Lakehouse High performance large-scale data processing Large-scale distributed systems Software-as-a-Service platform Infrastructure Automation Database Query Engine (QA), Engineering Systems, Cloud Platform & Deployment Engineering, Snowpark Container Services (SPCS), Quality & Release Engineering Tooling and infrastructure automation for engineering productivity Multi-cloud release automation Software frameworks for functional, system, performance & production testing Security Engineering Product Security, Database Security, Enterprise Security Encryption, authentication (incl. SSO & OAuth), access control, network security Software-as-a-Service platform Software frameworks for stability and performance testing Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. 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 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

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. Software Engineer Intern (Core, Infrastructure & Security) — Spring 2027 Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. We're looking for dedicated students who share our passion for groundbreaking technology and want to create a lasting future for Snowflake and you. This internship spans three of Snowflake's most technically demanding engineering domains — Core Engineering, Infrastructure Automation, and Security Engineering — giving you the opportunity to build the systems, automation, and trust layers that underpin Snowflake's global data platform. What We Offer Paid, full-time internships in the heart of the software industry Exposure to a fast-paced, fun, and inclusive culture A chance to work with world-class experts on challenging projects Opportunity to provide meaningful contributions to a real system used by customers High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation Stuff that matters: treated as a member of the Snowflake team, included in company meetings/activities, flexible hours, casual dress code, accommodations to work from home, swag, and much more Catered lunches, access to gaming consoles, recreational games, happy hours, company outings, and more What We Expect Must be actively enrolled in an accredited college/university program during the time of the internship Desired class level: 3rd/4th year Undergraduates, Masters, or PhD Desired majors: Computer Science, Computer Engineering, Electrical Engineering, Physics, Math, or related field Required coursework: algorithms, data structures, object-oriented programming, operating systems Recommended coursework: cloud computing, database systems, distributed systems, cryptography & authentication, networking Bonus experience: research or publications in security, distributed systems, or systems programming; contributions to open source When: Spring 2027 Eligible start date options: January 4, 2027; January 19, 2027 Eligible end date options: March 26, 2027; April 9, 2027; May 7, 2027 Duration: 12 week minimum, 16 weeks recommended (12 month maximum) Technical Skills Excellent programming skills in Java, C++, Go, and/or Python Preferred knowledge of C++20/C++17 or Java 20/Java 17 Knowledge of data structures and algorithms Systems programming skills including multi-threading, concurrency, etc. Experience with DevOps tooling (Jenkins, Ansible, Terraform) and containerization (Kubernetes, Docker) a plus Strong problem solving and ability to learn quickly in a dynamic environment Experience working as part of a team Dedication and passion for technology What You Will Learn/Gain How to build enterprise grade, reliable, and trustworthy software/services Exposure to SQL or other database technologies (e.g., Spark, Hadoop) Exposure to security, cryptography, access control, and identity and access management technologies Understanding of database internals, large-scale data processing, distributed systems, and data warehouse design Experience building automation frameworks and infrastructure to improve engineering workflow efficiency Experience delivering quality software in large distributed systems with emphasis on functional and performance automation Experience working with cloud infrastructure — AWS, Azure, and/or Google Cloud in particular Learning about cutting-edge database technology and research Possible Teams/Work Focus Areas Core Engineering Platform & Infrastructure Engineering, Public Sector Security & Governance, Marketplace & Apps, Data Engineering & Open Lakehouse High performance large-scale data processing Large-scale distributed systems Software-as-a-Service platform Infrastructure Automation Database Query Engine (QA), Engineering Systems, Cloud Platform & Deployment Engineering, Snowpark Container Services (SPCS), Quality & Release Engineering Tooling and infrastructure automation for engineering productivity Multi-cloud release automation Software frameworks for functional, system, performance & production testing Security Engineering Product Security, Database Security, Enterprise Security Encryption, authentication (incl. SSO & OAuth), access control, network security Software-as-a-Service platform Software frameworks for stability and performance testing Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. 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 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

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. Job Location: 135 Constitution Drive, Menlo Park, CA 94025. ELT: Engineering REQ ID: ASHREQ-8246 Joining this team means architecting the performance, scalability, and service infrastructure that will empower the world's largest enterprises to seamlessly govern their transactional and analytical data in one place. If you are passionate about building industry-leading technologies that solve real-world scale and performance problems, this is the place to be. In this role, you will be a key contributor to the evolution of our core product: an elastic, large-scale, high-performance data processing system. We are looking for smart, enthusiastic engineers who can quickly master complex technical areas and are passionate about building new, industry-leading technologies. AS A SENIOR SOFTWARE ENGINEER (MULTIPLE POSITIONS AVAILABLE) AT SNOWFLAKE, YOU WILL: Design, develop, and maintain core components of AI/ML observability systems, including backend infrastructure for largescale data processing, storage, and data movement. Implement and optimize highly specialized techniques such as sketch based data aggregation and machine learning metrics to support accurate monitoring and evaluation of ML and Generative AI models. Develop and enhance AI/ML infrastructure to support reliable training, deployment, and monitoring of machine learning workloads at scale. Build and extend platform features that enable scalable ML and Generative AI use cases while improving performance, reliability, and resource efficiency. Serve as a technical lead for the design and implementation of machine learning observability, data infrastructure, and model explainability capabilities supporting customer-facing ML and Generative AI products. Telecommuting permitted. Minimum Requirements for Position: Bachelor's degree or foreign equivalent in Computer Science, Information Technology, Electrical Engineering or a related field, and five (5) years of progressive post baccalaureate experience in the job offered or a related occupation. Education or experience must include: Designing and building database systems, compilers, and developer tools; Building enterprise-grade, reliable, and trustworthy software and services; Developing applications using Java; Using SQL and other database technologies, including implementing internal database components; Designing data warehouses, database systems, and large-scale data processing solutions; Contributing to ASF open-source projects, including big data and Hadoop ecosystem initiatives; and Performing implementation, testing, debugging, and documentation, and design query compilation and compiler systems. The base salary range for this role is $221,187 - $287,500 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 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