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.The Data Governance team builds services, systems, and product features to help our customers govern all their data assets through the full lifecycle within Snowflake. We provide fine grained secure data access, data privacy guards, data lineage tracking, and auditability access. We leverage ML techniques across our product offerings to make the lives of Data Stewards easier.<h2>AS A SENIOR SOFTWARE ENGINEER IN DATA GOVERNANCE AT SNOWFLAKE, YOU WILL:</h2><ul><li>Work closely with Product Managers to drive projects from idea formulation to design and implementation</li><li>Design and build data governance features</li><li>Solve real business needs at large scale by applying your software engineering and analytical problem solving skills</li><li>Make trade-offs to design the best system for Snowflake customers' needs</li><li>Collaborate with engineers across teams to help deliver cross-functional initiatives</li></ul><h2>OUR IDEAL CANDIDATE WILL HAVE:</h2><ul><li>7+ years of hands-on software engineering experience</li><li>Fluency in Java required</li><li>Experience with database fundamentals including working with SQL</li><li>Systems programming skills including multi-threading, concurrency, etc.</li><li>Some experience in database security or building data governance systems is a bonus</li><li>BS in Computer Science or a related field; Masters or PhD preferred</li></ul>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: <a target="_blank" rel="noopener noreferrer ugc" href="http://careers.snowflake.com">careers.snowflake.com</a>

Senior Software Engineer, Data Governance

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.<h2>Build Core Data Engineering Primitives at Cloud Scale</h2>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 streaming and transformation 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 distributed systems engineering, and that's what we're hiring for.<h2>About the Team</h2>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-used features in Snowflake's data engineering portfolio.<h2>What You'll Do</h2><ul><li>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.</li><li>Identify and lead multi-quarter technical investments — performance, scalability, correctness, and reliability — translating ambiguous problem spaces into concrete engineering plans with measurable outcomes.</li><li>Partner with product, research, and peer engineering teams to co-design primitives that compose cleanly across the data engineering stack.</li><li>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.</li><li>Work directly with customers and field teams to understand real-world usage patterns; use that signal to prioritize what matters next.</li><li>Contribute to Snowflake's technical reputation — through internal design influence, external talks, or research publications in the data engineering space.</li></ul><h2>What We're Looking For</h2><ul><li>15+ years of experience designing, building, and operating large-scale distributed data systems.</li><li>Deep expertise in at least one core area: stream processing, declarative query execution, pipeline orchestration, or data transformation at scale.</li><li>Strong computer science fundamentals — distributed systems, algorithms, fault tolerance, and consistency models.</li><li>Proficiency in C++ or Java; comfort with systems-level reasoning (latency, throughput, resource efficiency at cloud scale).</li><li>Demonstrated ability to lead cross-team technical initiatives from blank-page architecture through production at petabyte scale across thousands of concurrent workloads.</li><li>Strong written and verbal communication skills; ability to represent complex technical trade-offs clearly to engineering, product, and leadership audiences.</li></ul><h2>Nice to Have</h2><ul><li>Experience with a major analytical DBMS (Snowflake, BigQuery, Redshift, Databricks, Teradata).</li><li>Hands-on background in streaming or event-driven systems (Flink, Kafka, Spark Structured Streaming).</li><li>Familiarity with the broader data engineering ecosystem: dbt, Airflow, Fivetran, Iceberg, Delta Lake.</li><li>Experience with CDC, change propagation, or incremental computation patterns.</li><li>Advanced degree (MS or PhD) in Computer Science, with emphasis on database or distributed systems.</li></ul>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: <a target="_blank" rel="noopener noreferrer ugc" href="http://careers.snowflake.com">careers.snowflake.com</a>

Prinicpal Software Engineer - Data Engineering & Streaming Primitives

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 looking for talented System Developers and Researchers to join the Snowflake AI Research team and contribute to LLM inference and training system development, optimizations, and agentic systems. Our mission is to build the most efficient and scalable generative AI systems. Recent releases from our team include<a target="_blank" rel="noopener noreferrer ugc" href="https://www.snowflake.com/en/blog/up-to-75-lower-inference-cost-llama-meta-llm/"> SwiftKV</a>, an advanced inference optimization, and<a target="_blank" rel="noopener noreferrer ugc" href="https://www.snowflake.com/en/blog/arctic-open-efficient-foundation-language-models-snowflake/"> Arctic LLM</a>, one of the largest open-source MoE foundation models. This is an exciting opportunity to collaborate with a world-class team, including founding members of DeepSpeed, vLLM, and TensorFlow. Together, we will push the boundaries of deep learning systems and drive cutting-edge innovations in AI. Responsibilities:<ul><li>Analyze and optimize GPU kernel performance for training and inference of LLMs.</li><li>Develop and implement strategies to enhance the efficiency and scalability of deep learning systems.</li><li>Profile and benchmark deep learning systems using tools and techniques to identify bottlenecks.</li><li>Design and implement optimizations to reduce latency and improve resource utilization for training and inference.</li><li>Stay updated with the latest advancements in GPU kernel optimization, deep learning, and LLM system development.</li><li>Contribute to the development of agentic frameworks and applications for LLM-driven workflows, enhancing automation, reasoning, and decision-making capabilities.</li><li>Open-source and publish innovations, optimizations, and engineering practices in technical blogs, top-tier conferences and journals.</li></ul>Requirements:<ul><li>Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. A Master’s degree or PhD is preferred.</li><li>5 years of experience in GPU kernel optimization, deep learning system optimization, or high-performance computing (HPC).</li><li>Proficiency in deep learning frameworks such as PyTorch, TensorFlow, JAX.</li><li>Strong understanding of GPU architectures and experience with CUDA or similar frameworks.</li><li>Experience with frameworks like CUTLASS, Triton, cuDNN, etc.</li><li>Experience with profiling tools (e.g., nvprof, Nsight) and performance analysis methodologies.</li><li>Solid problem-solving skills and ability to debug complex performance issues.</li><li>Excellent communication skills and ability to work effectively in a cross-functional team environment.</li></ul>Join us in optimizing deep learning systems and pushing the boundaries of AI efficiency. Apply now to be part of our dynamic and pioneering team!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: <a target="_blank" rel="noopener noreferrer ugc" href="http://careers.snowflake.com">careers.snowflake.com</a>

AI System Research and Development Engineer - Optimization

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers 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, rapidly testing 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.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 are hiring an AI Research Scientist (New Grad) for our AI Research team. Our team is pushing the frontier of autonomous, self-improving AI systems — building agents that reason, code, and learn at scale inside the Snowflake Data Cloud. This role sits at the intersection of agentic AI and reinforcement learning, where your research will directly shape how enterprises leverage intelligent automation.<h2>AS AN AI RESEARCH SCIENTIST AT SNOWFLAKE, YOU WILL:</h2><ul><li>Design and develop agentic frameworks powered by recursive self-improvement loops, enabling AI systems that iteratively refine their own capabilities and strategies</li><li>Build and evaluate auto research agents — systems capable of autonomously formulating hypotheses, executing experiments, and synthesizing findings</li><li>Develop coding agents that understand, generate, and debug code across complex, multi-step programming tasks</li><li>Conduct research in reinforcement learning with a focus on RLHF, DPO, and PPO as mechanisms for aligning and improving agentic behaviors</li><li>Contribute to multi-agent systems where specialized agents collaborate, negotiate, and self-organize to solve enterprise-scale problems</li><li>Develop and curate training data pipelines — both synthetic and human-annotated — to support novel agentic and RL research domains</li><li>Publish research findings at top-tier venues such as NeurIPS, ICML, ICLR, and ACL</li></ul><h2>OUR IDEAL AI RESEARCH SCIENTIST WILL HAVE:</h2><ul><li>PhD in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field (completing or recently completed; or equivalent research experience)</li><li>Foundational expertise in reinforcement learning algorithms, including RLHF, DPO, PPO, or multi-agent systems</li><li>Research experience in LLM post-training, fine-tuning, or reasoning model development</li><li>Demonstrated ability to implement and experiment with agentic architectures — including tool-use, planning, and self-correction loops</li><li>Proficiency in Python and at least one deep learning framework (PyTorch or JAX strongly preferred)</li><li>Strong mathematical and analytical foundation — comfortable working at the intersection of theory and empirical research</li><li>At least one first-author or co-authored publication or preprint in a relevant AI/ML area</li></ul><h2>BONUS POINTS FOR THE FOLLOWING:</h2><ul><li>Hands-on experience building or evaluating coding agents or auto research agents</li><li>Familiarity with recursive self-improvement frameworks or automated AI scientist paradigms</li><li>Experience with large-scale distributed training or efficient training paradigms</li><li>Background in mathematical reasoning, structured decision-making, or program synthesis</li><li>Exposure to domain-specific AI applications in healthcare, finance, or enterprise workflows</li></ul><h2>WHY JOIN OUR AI RESEARCH TEAM AT SNOWFLAKE?</h2>Snowflake's AI Research team operates at the frontier of what autonomous AI systems can do — not as a research lab disconnected from practice, but as a team where your work ships into a platform used by thousands of enterprises. You'll be working alongside researchers and engineers who are building the next generation of agentic infrastructure, with access to large-scale compute, real-world data challenges, and the shortest possible path from research idea to product impact.For a new grad role, this is a rare opportunity to grow your research career while contributing to systems that actually run in production — shaping how AI agents reason, learn, and improve themselves inside the world's leading data cloud.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: <a target="_blank" rel="noopener noreferrer ugc" href="http://careers.snowflake.com">careers.snowflake.com</a>

AI Research Scientist, New Grad – Agents & Reinforcement Learning

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.Government Affairs Intern Washington, D.C. 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. 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. The Government Affairs team manages Snowflake's relationships with key government and political leaders across the globe — from Capitol Hill to federal agencies to state and local governments. We are looking for an exceptional student with a keen interest in the intersection of AI technology leadership and public policy — someone who understands that the decisions being made in Washington today will shape the future of the data and AI economy. This intern will support high-visibility engagements with congressional leaders, federal stakeholders, and state and local officials, helping Snowflake advance its policy priorities while gaining firsthand experience in how a leading technology company navigates the evolving regulatory and political landscape. WHAT WE OFFER ● Paid, full-time internship in the nation's capital at the intersection of technology and policy ● Post-internship career opportunities (full-time and/or additional internships) ● Exposure to a fast-paced, fun, and inclusive culture ● A chance to work with world-class experts on high-stakes policy and government engagement initiatives ● Opportunity to contribute meaningfully to Snowflake's government affairs strategy during a pivotal period for AI policy ● High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation WHAT WE EXPECT ● Must be actively enrolled in an accredited university or graduate program during the time of the internship ● Desired Class Level: Rising senior or first-year master's student ● Desired majors: Public Policy, Political Science, Government, International Relations, Law, Business, Economics, Computer Science, or a related field ● Required coursework: Public policy, government/politics, technology policy, or equivalent demonstrated experience ● Recommended coursework: Regulatory affairs, international relations, data privacy/governance, AI ethics, communications, or quantitative analysis ● Bonus Experience: Prior internship or project experience on Capitol Hill, in a federal agency, political campaign, think tank, trade association, or technology company government affairs office; familiarity with AI/data policy issues; demonstrated use of AI tools in an academic or professional context ● Strong written and verbal communication skills with the ability to synthesize complex technology and policy topics into clear, audience-appropriate narratives ● Demonstrated ability to work independently, manage multiple priorities, and deliver results in a fast-moving, high-stakes environment ● Intellectual curiosity and a proactive mindset — you are energized by the challenge of shaping how emerging technology and public policy intersect WHAT YOU WILL LEARN / GAIN ● How a leading global AI and data company engages with policymakers, regulators, and political stakeholders to shape the technology policy landscape ● Direct exposure to congressional relations, federal agency engagement, and state and local government outreach at the highest levels ● Experience staffing and supporting executive-level events, briefings, and meetings with elected officials and senior government leaders ● An understanding of how AI and data policy is developed, debated, and implemented — and how industry plays a role in that process ● Hands-on experience with stakeholder mapping, policy research, event logistics, and strategic communications in a government affairs context ● Mentorship from senior government affairs professionals and cross-functional leaders across Snowflake POSSIBLE WORK FOCUS AREAS ● Congressional &amp; Federal Engagement: Support the planning, staffing, and follow-up for engagements with members of Congress, committee staff, and federal agency officials — including briefing preparation, meeting logistics, and post-engagement tracking ● State &amp; Local Government Outreach: Assist in building and maintaining relationships with state and local leaders, identifying opportunities for Snowflake to engage on data modernization, AI adoption, and digital governance initiatives ● AI Policy Research &amp; Analysis: Monitor and synthesize developments in AI legislation, data privacy regulation, and technology governance — producing clear, actionable briefs for internal stakeholders and executives ● Event Strategy &amp; Execution: Help plan and staff Snowflake's presence at political and policy events, industry convenings, and government-facing forums in Washington, D.C. and beyond 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.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: <a target="_blank" rel="noopener noreferrer ugc" href="http://careers.snowflake.com">careers.snowflake.com</a>

Snowflake

Open jobs at Snowflake

Senior Software Engineer, Data Governance

Prinicpal Software Engineer - Data Engineering & Streaming Primitives

AI System Research and Development Engineer - Optimization

AI Research Scientist, New Grad – Agents & Reinforcement Learning

Government Affairs Intern

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