Careers at Snowflake

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

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. As a Senior/Staff Forward Deployed Engineer, Applied AI on our Cortex AI team, you will be a hands-on technical leader and trusted partner to our most strategic customers. You will own the end-to-end delivery of enterprise AI programs, leading a team of 2–4 engineers while staying deeply technical yourself . You will set the technical direction for your customer engagements, mentor your team, and serve as the senior technical voice at the intersection of product, engineering, and customer success. Note: This is a customer facing role & require frequent travelling within USA mostly IN THIS ROLE AT SNOWFLAKE, YOU WILL: Lead Customer Programs : Own the full lifecycle of complex, multi-engineer AI engagements – from scoping and architecture through deployment, monitoring, and handoff. Be accountable for delivery quality and customer outcomes for the projects you lead. Own AI Quality : Define what "good" means for each engagement. Translate ambiguous customer goals into measurable quality metrics, evaluation frameworks, and golden datasets – then run systematic eval loops to hill-climb on agent quality, catch regressions before customers do, and continuously raise the bar on accuracy, faithfulness, and safety. Set the standard for how the team measures and improves AI systems in production. Grow and Mentor Engineers : Provide day-to-day technical leadership and mentorship to a team of 2–6 Applied AI Engineers. Review designs and code, unblock teammates, and actively develop their skills and careers. Deliver with Velocity : Remain a hands-on contributor – designing, iterating, and shipping high-quality ML pipelines and agentic AI solutions alongside your team. Translate ambiguous business objectives into robust, scalable, and performant solutions. Productionize AI at Scale : Own the full implementation lifecycle for AI solutions, from prototype through deployment, monitoring, and optimization in secure, large-scale production environments. Build the safety guardrails, observability, and human-review workflows that keep AI applications reliable and trustworthy – and close the loop from production traces and user feedback back into your evals so quality compounds over time. Be a Strategic Technical Advisor : Serve as a senior technical advisor to customer data science and engineering leadership. Set the standard for how Snowflake AI is deployed and articulate complex technical concepts to both technical and executive stakeholders. Collaborate to Innovate : Work cross-functionally with Snowflake's Product and Engineering teams, bringing real-world patterns and feedback from the field to directly shape the future of Snowflake's AI platform. Drive Compounding Outcomes : Identify recurring deployment patterns and turn them into reusable assets – reference architectures, evaluation harnesses, and product feedback that scale Snowflake's impact across customers. Have the opportunity to travel : Spend at least 25% of your time onsite, working closely with Snowflake's most strategic customers. WE'RE LOOKING FOR CANDIDATES WHO HAVE: Demonstrated experience leading technical projects or teams, including setting technical direction, reviewing others' work, and driving delivery to completion. Proven experience building and productionizing applications using LLMs, especially with technologies like RAG and agentic workflows. Hands-on experience defining quality metrics and evaluation frameworks for LLM or agent systems, and using evals to systematically improve quality over time. Excellent problem-solving and communication skills, with an ability to articulate complex technical concepts to both technical and executive stakeholders. Comfort with ambiguity and the ability to independently structure and execute on complex, open-ended problems. 7+ years of professional software engineering experience. Experience in a customer-facing technical role. Willingness to travel. Preferred Qualifications Experience building eval sets from production traces and synthetic data, and running structured experimentation (A/B tests, ablations, offline evals) to compare prompts, models, or agent architectures. Familiarity with eval and observability tooling (e.g., Braintrust, LangSmith, Arize, Weave, Promptfoo) or experience building custom eval harnesses. Experience with failure-mode analysis on agent or RAG systems – categorizing errors (hallucination, retrieval miss, planning failure, tool misuse) and driving each down with targeted evals. Hands-on experience with the MLOps lifecycle, including model deployment, monitoring, and evaluation in a cloud environment (AWS, Azure, or GCP). Familiarity with core data science libraries and tools (e.g., pandas, numpy, Snowpark). Startup experience or experience in a high-growth, fast-paced environment. 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. Principal Software Engineer - Agentic Pipelines Building for AI-Enabled Data Engineers & Scientists Data pipelines are foundational infrastructure — when they're fast, correct, and maintainable, customers build on them with confidence. If you've spent the bulk of your career building large-scale data infrastructure — designing streaming or transformation primitives, reasoning hard about consistency and fault tolerance, and owning the systems that run under millions of customer workloads — this role might be for you. You'll be working on the pipeline layer at Snowflake: the constructs that define how customers move, shape, and maintain data. AI has a real presence in this work — in how customers use these pipelines and in how we think about building them — but the core job is hard data/pipeline infrastructure engineering, and that's what we're hiring for. About the Team We build the core data engineering primitives that power Snowflake's streaming and transformation capabilities. From the constructs customers use to define real-time pipelines to the execution fabric that makes those pipelines reliable and cost-efficient at cloud scale, our team owns the full stack of declarative data engineering. We're a small, high-ownership team operating close to the product — which means your decisions ship, your architecture matters, and your fingerprints are on some of the most heavily used features in Snowflake's data engineering portfolio. What You'll Do Define and drive the technical direction for Snowflake's core data engineering and streaming transformation primitives, spanning Streams, Tasks, Dynamic Tables, and adjacent pipeline constructs. Identify and lead multi-quarter technical investments — performance, scalability, correctness, and reliability — translating ambiguous problem spaces into concrete engineering plans with measurable outcomes. Partner with product, research, and peer engineering teams to co-design primitives that compose cleanly across the data engineering stack. Operate as a force multiplier: run architectural reviews, set the technical bar for design documents, and help engineers grow through high-quality feedback and sponsorship. Work directly with customers and field teams to understand real-world usage patterns; use that signal to prioritize what matters next. Contribute to Snowflake's technical reputation — through internal design influence, external talks, or research publications in the data engineering space. What We're Looking For 15+ years of experience designing, building, and operating large-scale distributed data systems. Deep expertise in at least one core area: stream processing, declarative query execution, pipeline orchestration, or data transformation at scale. Strong computer science fundamentals — distributed systems, algorithms, fault tolerance, and consistency models. Proficiency in C++ or Java; comfort with systems-level reasoning (latency, throughput, resource efficiency at cloud scale). Demonstrated ability to lead cross-team technical initiatives from blank-page architecture through production at petabyte scale across thousands of concurrent workloads. Strong written and verbal communication skills; ability to represent complex technical trade-offs clearly to engineering, product, and leadership audiences. Nice to Have Experience with one or more major analytical databases (Snowflake, BigQuery, Redshift, Databricks, Teradata, etc). Hands-on background in streaming, transformation, or event-driven systems (Flink, Kafka, Spark Structured Streaming). Familiarity with the broader data engineering ecosystem: dbt, Airflow, Fivetran, Iceberg, Delta Lake. Experience with CDC, change propagation, or incremental computation patterns. Advanced degree (MS or PhD) in Computer Science, with emphasis on database or distributed systems. 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. The Cortex Apps team is building the future of AI for enterprise data. This role focuses on the backend infrastructure that powers our flagship products like Snowflake Intelligence , Cortex Agents and Search making agentic AI fast, reliable, scalable and secure at the enterprise level. You won’t just be using AI tools; you will be building the high-performance systems that orchestrate them. You’ll own and influence the architecture for agent execution environments, high-throughput context retrieval, or the ecosystem that allows our customers to iterate and launch agents in production. What you will do in this role: Architect Agentic Runtimes: Build and scale the orchestration engines that execute complex agentic workflows, ensuring low-latency tool execution and robust state management. Scale Context Engineering Infra: Design high-performance systems for RAG (Retrieval-Augmented Generation), including vector database integration, scalable and efficient search indexing, query processing, and result ranking, semantic caching, and automated metadata extraction. Build the "Evals Engine": Develop the automated infrastructure required to run massive-scale golden set simulations, error analysis pipelines, and "hillclimbing" experiments. Productionize AI Workflows: Collaborate with the modeling team to take raw LLM capabilities and turn them into hardened, multi-tenant microservices with strict guardrails and observability. Optimize Performance & Cost: Direct the infra strategy for model routing, prompt caching, and token optimization to ensure Snowflake’s AI features are the most efficient in the industry. Requirements: Education: Bachelor’s degree in Computer Science or a related technical field. Experience: 7+ years of experience building distributed systems , high-throughput APIs, or backend infrastructure for AI/ML products. Technical Stack: Deep proficiency in Go or Java (for systems) and Python (for AI orchestration). Systems Thinking: Strong understanding of database internals, distributed state management, and cloud-native architecture (Kubernetes, FoundationDB, etc.). Domain Expertise: Familiarity with the "plumbing" of AI: vector indices, agent platforms, and building scalable data pipelines. Experience in a customer-facing technical role — you have explained a hard failure to a frustrated external audience and been believed, you can produce both the internal analysis and the customer-safe version. Product instinct — you can judge whether one customer's problem is bespoke or a platform gap worth fixing for everyone. This is the core judgment call. Cross-layer debugging — tracing a request across services and root-causing in unfamiliar code from logs and telemetry, not guesswork. Eval frameworks for LLM/agent systems — defining quality metrics and using evals to improve quality systematically over time. Comfort with ambiguity on open-ended, externally-driven problems. (Bonus) Experience with: Query optimization and SQL engine internals. Designing multi-tenant systems that handle sensitive enterprise data at scale. Developing search infrastructure for large-scale applications. Direct experience with any of the subsystems outlined above. 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. There is only one Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow. FoundationDB (FDB) is an open source, highly scalable database capable of ACID transactions at high frequencies and low latencies. FDB has been a core component in Snowflake's unique shared-metadata architecture since 2014, making possible Snowflake's vision to build the greatest data warehouse for the cloud. FDB performs millions of transactions per second across thousands of processes. The FDB team builds features on open-source FDB that improve the performance, scale, reliability and operability of the product. We are looking for an outstanding Senior Software Engineer with a passion for large scale databases and distributed systems to help us take FoundationDB to the next level. FoundationDB powers all of Snowflake’s products and services and is rapidly evolving to meet Snowflake’s future needs. We are growing at a fast rate and we need to scale FoundationDB by at least one order of magnitude over the next few years. Additionally, new workloads are emerging that need FoundationDB’s reliability, high availability and strong consistency semantics. These workloads will require innovation to re-architect the core components of our system. AS A SENIOR SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Identify strategically important problems, inefficiencies or opportunities for impactful improvements Own the end to end delivery of your projects, from identifying a solution, to design, implementation, test and safe production rollout Design and implement critical high performance systems to handle the ever growing request rate of our database Build the next generation transaction system, caching, storage engine and multi tenant capabilities Evangelize best practices in database usage and end-to-end architecture. Analyze and understand performance and scalability bottlenecks in the system and solve them. Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions. OUR IDEAL SENIOR SOFTWARE ENGINEER WILL HAVE: 6+ years hands-on software engineering experience. Systems programming skills including multi-threading, concurrency, etc. Fluency in C++, C, or Java is preferred. Experience designing, building, and operating large-scale distributed systems or web services Experience with scalable Key-Value stores such as FoundationDB, RocksDB/LevelDB, DynamoDB, Redis, etc. a plus. Strong CS fundamentals including data structures, algorithms, and distributed systems. Track record of delivering highly complex projects in the distributed systems space Intense curiosity, willingness to question and passion for making systems better Strong technical problem solving, communication, and collaboration skills Excitement by the challenge of hard technical problems BS in Computer Science; Masters or PhD Preferred. About Snowflake: Snowflake SIGMOD 2016 paper About FoundationDB: FDB SIGMOD 21 Paper FoundationDB Summit 2018 and FoundationDB Summit 2019 How FDB powers Snowflake Metadata Forward! 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