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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. Principal Software Engineer — Performance Engineering (Cloud Infrastructure) Engineering Location: Menlo Park About the Team The Capacity, Performance & Efficiency team sits at the intersection of cloud infrastructure, workload behavior, performance measurement, and business economics. We drive Snowflake’s cloud infrastructure adoption and evolution strategy, price/performance decisions, platform footprint expansion amidst capacity constraints, and strategic alignment with cloud service provider (CSP) technical roadmaps. We're looking for a Principal Performance Engineer to drive Snowflake's cloud infrastructure performance strategy. This is a high-autonomy, high-impact role for someone who can go deep on hardware internals (CPU microarchitecture, memory bandwidth, I/O behavior) while also translating that technical depth into pricing, capacity, and roadmap decisions across Snowflake. You will drive the evaluation of new hardware generations across all major cloud providers, build the benchmarking and modeling infrastructure that turns raw performance data into pricing and rollout decisions, and represent Snowflake in technical discussions with CSPs and silicon partners. You'll help grow performance engineering as a discipline across the company — mentoring engineers, building benchmark capability, and championing a culture of rigorous, data-driven performance work. What You'll Do Own new hardware evaluation and enablement. Lead evaluation of new AWS, Azure, and GCP instance types (e.g., AWS Graviton, AMD Turin, Azure ARM/Cobalt, GCP Axion) by building representative benchmark and evaluation solutions. Set performance strategy and architecture. Shape the team's technical roadmap, set direction on measurement methodology, and translate benchmark results into concrete rollout and adoption recommendations. Lead cross-functional and CSP partnerships. Work across engineering (i.e. Warehouse, Capacity, and other core platform teams) and Finance along with AWS, Azure, GCP to qualify new hardware and influence future cloud-instance designs. Characterize hardware performance at a deep level. Analyze CPU microarchitecture (e.g., memory bandwidth, PMU counters, I/O behavior) to identify workload-specific bottlenecks and drive resolution. Develop price/performance model to support new hardware transitions. Automate day-zero hardware readiness. Build automated performance-validation workflows and per-provider/per-instance scorecards so Snowflake can qualify and price new silicon at or near cloud-provider GA. Grow the performance engineering discipline. Mentor engineers, build out benchmarking capability, and drive company-wide performance education (e.g., a recurring Performance Tech Talk series). Our ideal candidate will have: 12+ years of experience in performance engineering, systems engineering, or infrastructure engineering, with a track record of principal-level technical leadership. Deep expertise in cloud infrastructure performance across at least one major CSP (AWS, Azure, or GCP), including instance types, pricing models, and capacity constraints. Strong grounding in hardware/systems fundamentals: CPU microarchitecture, memory bandwidth, I/O subsystems, and use of profiling tools (PMU counters, etc.) to root-cause performance bottlenecks. Experience building or operating large-scale benchmarking systems (e.g., TPC-DS-style workloads) and turning benchmark output into actionable optimization strategies and pricing/rollout decisions. Ability to build quantitative models connecting technical performance metrics to business outcomes (pricing multipliers, cost-per-query). A track record of leading cross-functional, cross-company initiatives — comfortable being the primary technical point of contact with external hardware and cloud partners (CSPs, silicon vendors). Bias toward automation: builds scorecards, dashboards, and validation pipelines rather than relying on one-off analysis. Nice to Have Experience with data warehouse / distributed database performance characteristics. Direct experience partnering with cloud providers or silicon vendors on early-access hardware programs. Experience building hardware-emulation 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. Join our ML Feature Store team where we're building cutting-edge product capabilities that power complex feature transformations and low latency feature serving. We're revolutionizing machine learning feature management and serving capabilities as part of the Snowflake ML suite of products. In the era of GenAI and agents, our team delivers high-quality, fresh feature solutions that make a real difference for our customers. IN THIS ROLE AT SNOWFLAKE, YOU WILL: Help define and own the roadmap for Snowflake Feature Store, working collaboratively with senior architects and ML team leadership Build and execute a vision for incorporating new advances in machine learning Ensure operational excellence of services and meet reliability, availability, and performance commitments Collaborate across ML partner teams to improve development velocity and capabilities Support team members in delivering high technical quality WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE: 10+ years of experience in designing and building data serving infrastructure and/or machine learning platforms. Preferred: Strong operational experience managing PostgreSQL in production environments. Strong track record working with machine learning systems and platforms. Strong understanding of computer science fundamentals. B.Sc . in Computer Science Fluency in Java and Python Experience with feature engineering platforms and ML platforms 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. Snowflake is at the forefront of the data and AI revolution - with a mission to help every company achieve its potential with data & AI. As part of our mission to enable every organization to achieve its full potential, the Snowflake Marketplace serves as the vibrant hub which enables customers to do more with data. We are building a platform that empowers organizations to seamlessly discover, access, and build with valuable datasets, cutting-edge applications, and intelligent AI agents. With the rapid growth of the Snowflake Marketplace , we are rethinking the architecture and reimagining the user experience to build a best-in-class product that scales to meet the demands of our global customer and partner ecosystem. We are looking for a Software Engineer who is passionate about creating exceptional user experiences and driving customer value. This is a high-impact role where you will have a direct impact on the product and the opportunity to grow your skills in a fast-paced, collaborative environment. AS A SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Design, develop, and deliver features across our full stack that have a direct impact on our customers and partners. Work closely with product managers, designers, and other engineers to deliver end-to-end features. Build robust and high-performance systems to support the Marketplace platform, using technologies like TypeScript, React, Go, Java, and Python. Write clean, well-tested, and maintainable code, while contributing to a culture of engineering excellence and continuous improvement. Be a strong contributor to the overall product and technical direction of the area OUR IDEAL SOFTWARE ENGINEER WILL HAVE: 4 + years of industry experience designing and building scalable web applications with a focus on great user experience. A strong foundation in full-stack development. You should have significant frontend experience with TypeScript and React, and experience with backend services in languages like Java, Go, or Python. A genuine passion for building customer-facing products and a drive to solve problems that create real value for users. A strong understanding of core computer science concepts and web application architecture, including security, performance, and scalability. 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. We are hiring a Senior Software Engineer for our Anti-Abuse team within Security Foundations. This team is responsible for protecting Snowflake and our customers from abuse on the Snowflake platform — building foundational security primitives across a complex multi-cloud environment to combat fraud, account takeovers, data exfiltration, and AI security threats at the scale of Snowflake’s hyper-growth. AS A SENIOR SOFTWARE ENGINEER, SECURITY FOUNDATIONS AT SNOWFLAKE, YOU WILL: Design, build, and scale security-by-default capabilities that protect Snowflake products across a complex multi-cloud environment Develop intelligent security platforms and services that leverage AI/ML and risk scoring to identify, prioritize, and respond to security threats and policy violations Build real-time detection and prevention systems to defend against account compromise, AI abuse, and data exfiltration through adaptive enforcement and granular policy controls Create security intelligence and monitoring capabilities that detect suspicious account & user activity, generate actionable insights, and enable timely response Partner across Security, Engineering, and Product teams to define security strategy, influence product design, and drive adoption of secure engineering practices Raise the engineering bar by setting standards for system design, code quality, operational excellence, and scalable security architecture within the Security Foundations organization OUR IDEAL SENIOR SOFTWARE ENGINEER, SECURITY FOUNDATIONS WILL HAVE: Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience 5+ years of experience in software development with one or more of the following: JavaScript, Java, Python, C, C++, or Go Proficiency in Python, SQL, or a similar language for building detections and data pipelines Experience designing, testing, and maintaining software solutions with a security focus A track record of leading projects independently and setting technical direction BONUS POINTS FOR THE FOLLOWING: Master's degree or PhD in Computer Science or a related technical field Experience working with infrastructure across major cloud providers (AWS, GCP, Azure) Hands-on experience with security primitives including static analysis, dynamic analysis, authentication and access management, DDoS mitigation, or security scanning Background in secure software development lifecycle (SDLC) practices Strong interpersonal and communication skills for cross-functional partnerships WHY JOIN OUR ANTI-ABUSE TEAM AT SNOWFLAKE? The Anti-Abuse team sits at the intersection of security engineering and platform scale — you’ll be building foundational capabilities that protect millions of customers across every cloud, rather than maintaining legacy point solutions. You’ll have real influence over the roadmap and the opportunity to work on some of the hardest adversarial engineering challenges in the industry: fraud, account takeover, data exfiltration, and emerging AI security threats. Our culture is built on ownership and collaboration. Every engineer has an equal opportunity to innovate, drive impact, and grow. If you’re energized by working at the frontier of security and data — where “get it done” means building things that last — this is where you want to be. 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. We are hiring a Senior Software Engineer for our Anti-Abuse team within Security Foundations. This team is responsible for protecting Snowflake and our customers from abuse on the Snowflake platform — building foundational security primitives across a complex multi-cloud environment to combat fraud, account takeovers, data exfiltration, and AI security threats at the scale of Snowflake’s hyper-growth. AS A SENIOR SOFTWARE ENGINEER, SECURITY FOUNDATIONS AT SNOWFLAKE, YOU WILL: Design, build, and scale security-by-default capabilities that protect Snowflake products across a complex multi-cloud environment Develop intelligent security platforms and services that leverage AI/ML and risk scoring to identify, prioritize, and respond to security threats and policy violations Build real-time detection and prevention systems to defend against account compromise, AI abuse, and data exfiltration through adaptive enforcement and granular policy controls Create security intelligence and monitoring capabilities that detect suspicious account & user activity, generate actionable insights, and enable timely response Partner across Security, Engineering, and Product teams to define security strategy, influence product design, and drive adoption of secure engineering practices Raise the engineering bar by setting standards for system design, code quality, operational excellence, and scalable security architecture within the Security Foundations organization OUR IDEAL SENIOR SOFTWARE ENGINEER, SECURITY FOUNDATIONS WILL HAVE: Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience 5+ years of experience in software development with one or more of the following: JavaScript, Java, Python, C, C++, or Go Proficiency in Python, SQL, or a similar language for building detections and data pipelines Experience designing, testing, and maintaining software solutions with a security focus A track record of leading projects independently and setting technical direction BONUS POINTS FOR THE FOLLOWING: Master's degree or PhD in Computer Science or a related technical field Experience working with infrastructure across major cloud providers (AWS, GCP, Azure) Hands-on experience with security primitives including static analysis, dynamic analysis, authentication and access management, DDoS mitigation, or security scanning Background in secure software development lifecycle (SDLC) practices Strong interpersonal and communication skills for cross-functional partnerships WHY JOIN OUR ANTI-ABUSE TEAM AT SNOWFLAKE? The Anti-Abuse team sits at the intersection of security engineering and platform scale — you’ll be building foundational capabilities that protect millions of customers across every cloud, rather than maintaining legacy point solutions. You’ll have real influence over the roadmap and the opportunity to work on some of the hardest adversarial engineering challenges in the industry: fraud, account takeover, data exfiltration, and emerging AI security threats. Our culture is built on ownership and collaboration. Every engineer has an equal opportunity to innovate, drive impact, and grow. If you’re energized by working at the frontier of security and data — where “get it done” means building things that last — this is where you want to be. 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. We're looking for a Director of Engineering to join our leadership team in AI Functions product portfolio, a hybrid director/principal engineer role at the forefront of AI-powered analytics. Join our Leadership team in AI Functions Product Portfolio. Our mission is to democratize AI by surfacing powerful AI functions directly in SQL for analyzing structured and unstructured data, with minimal configuration. We handle the full AI lifecycle behind the scenes, so data analysts, engineers, and scientists can build data transformation pipelines with AI using the most sophisticated building blocks seamlessly within their existing SQL workflows. The AI Functions product portfolio represents one of the most strategic and impactful product surfaces within Snowflake, bringing together two of the company’s core strengths: its industry-leading ability to process massive volumes of data and its growing capability to make that data AI-ready. By embedding advanced AI and LLM-powered functions directly into SQL, this portfolio transforms Snowflake from a data platform into an intelligent data system—where structured and unstructured data can be seamlessly prepared, enriched, and analyzed using AI at scale. This convergence enables customers to operationalize AI within their existing workflows, unlocking faster insights, more powerful applications, and a fundamentally new way to interact with data. IN THIS ROLE AT SNOWFLAKE, YOU WILL: Create and own architecture and design, influence our product roadmap, and identify new initiatives that push Snowflake's technology forward for our customers Set the strategic vision for the team and drive accountability for plans and deliverables Solve real business needs at scale by applying strong software engineering and analytical problem-solving skills Drive team projects from ideation through implementation in partnership with cross-functional teams Foster a culture of creativity and innovation while ensuring sound, practical decision-making Lead organizational structure evolution and improve engineering efficiency Hire, develop, and mentor senior technical leaders Manage, Grow, and Mentor the teams that have a significant impact on the success of the overall Snowflake product. WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE: Advanced degree in Computer Science 10+ years of software engineering experience with recent hands-on experience 2+ years of engineering director experience, including managing managers Deep experience with AI infrastructure and LLMs Experience building large-scale query processing or distributed systems Strong track record of recruiting and growing technical teams Excellent collaboration and communication skills across global organizations WHY JOIN OUR TEAM AT SNOWFLAKE? Join us at the forefront of AI innovation where you'll lead transformative initiatives that shape the future of data and artificial intelligence. You'll have the opportunity to work with cutting-edge LLM technology while building and mentoring high-performing engineering teams. Our culture promotes innovation, technical excellence, and collaborative problem-solving, offering you the platform to make a significant impact on enterprise AI solutions. Snowflake is growing fast, and we are 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? 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. We're looking for a Director of Engineering to join our leadership team in AI Functions product portfolio, a hybrid director/principal engineer role at the forefront of AI-powered analytics. Join our Leadership team in AI Functions Product Portfolio. Our mission is to democratize AI by surfacing powerful AI functions directly in SQL for analyzing structured and unstructured data, with minimal configuration. We handle the full AI lifecycle behind the scenes, so data analysts, engineers, and scientists can build data transformation pipelines with AI using the most sophisticated building blocks seamlessly within their existing SQL workflows. The AI Functions product portfolio represents one of the most strategic and impactful product surfaces within Snowflake, bringing together two of the company’s core strengths: its industry-leading ability to process massive volumes of data and its growing capability to make that data AI-ready. By embedding advanced AI and LLM-powered functions directly into SQL, this portfolio transforms Snowflake from a data platform into an intelligent data system—where structured and unstructured data can be seamlessly prepared, enriched, and analyzed using AI at scale. This convergence enables customers to operationalize AI within their existing workflows, unlocking faster insights, more powerful applications, and a fundamentally new way to interact with data. IN THIS ROLE AT SNOWFLAKE, YOU WILL: Create and own architecture and design, influence our product roadmap, and identify new initiatives that push Snowflake's technology forward for our customers Set the strategic vision for the team and drive accountability for plans and deliverables Solve real business needs at scale by applying strong software engineering and analytical problem-solving skills Drive team projects from ideation through implementation in partnership with cross-functional teams Foster a culture of creativity and innovation while ensuring sound, practical decision-making Lead organizational structure evolution and improve engineering efficiency Hire, develop, and mentor senior technical leaders Manage, Grow, and Mentor the teams that have a significant impact on the success of the overall Snowflake product. WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE: Advanced degree in Computer Science 10+ years of software engineering experience with recent hands-on experience 2+ years of engineering director experience, including managing managers Deep experience with AI infrastructure and LLMs Experience building large-scale query processing or distributed systems Strong track record of recruiting and growing technical teams Excellent collaboration and communication skills across global organizations WHY JOIN OUR TEAM AT SNOWFLAKE? Join us at the forefront of AI innovation where you'll lead transformative initiatives that shape the future of data and artificial intelligence. You'll have the opportunity to work with cutting-edge LLM technology while building and mentoring high-performing engineering teams. Our culture promotes innovation, technical excellence, and collaborative problem-solving, offering you the platform to make a significant impact on enterprise AI solutions. Snowflake is growing fast, and we are 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? 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 Customer Experience Engineering Team builds the internal and external technologies that scale Snowflake’s global support and sales organizations. We empower our technical experts by providing the advanced tools they need to resolve complex issues and drive customer success. Our team specializes in software engineering, data-driven decisions, ML, and LLM-based solutions . We build production-grade systems to automate manual processes and augment the capabilities of our technical staff. Our current focus includes: LLMs : Developing and deploying LLM and agent-based architectures for streamlining troubleshooting Scalable Evaluations : Implementing large-scale evaluations to ensure the quality and reliability of our internal and external tools Process Automation : Designing intelligent workflows that eliminate bottlenecks and allow our experts to focus on the most technical aspects of the Snowflake platform Incident discovery: using embeddings, LLMs, clustering, and agents to detect potential widespread issues more quickly Now, the team is growing, and we are looking for a Software Engineer to join us. In this role, you will work closely with the state of the art LLM models, fine-tune them, develop agents, apply various clusterings, summarizations, embeddings, and so on. Even though we usually use high-level libraries (e.g., scikit or Snowflake’s Cortex) rather than perform matrix multiplications ourselves, some prior ML experience is definitely useful. As a Software Engineer, you will contribute to the development of ML and LLM-based solutions, propose new ideas, and keep improving the existing models. You will: Develop and refine ML models that are critical to Snowflake’s business Design metrics and experiments to validate your insights Help to implement projects that span our stack, including Java and Python services hosted in Snowflake and Kubernetes Collaborate with a cross-functional team, including product management and design Deliver features requiring close coordination with several partner teams Be a participant in defining the product vision and team planning Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions Our ideal Software Engineer will have: B.S. or M.S. degree in CS, or equivalent discipline 3+ years of hands-on software engineering experience 1+ years of working ML experience Interest in the State of the Art LLM-based solutions Great communication skills, both verbal and written and an interest in working with a diverse set of peers and external developers Genuine enjoyment of the art of building great software, and a love of learning new things 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