Field Engineer Jobs

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. The Role You'll be an engineer who builds AI agents in production, sitting close to the customers who depend on them. This is a full-stack engineering job with an unusually short distance between your code and someone's actual workday. You'll write Go and Python, design schemas, build evals, and present your solution to a senior executive at an enterprise - often in the same week. What You'll Do Design and ship production agents. You'll build agents that are mission-critical from day one: embedded in Teams, Slack, intranets, voice lines, and email, taking real actions against SAP, ServiceNow, Workday, and a long tail of systems nobody has heard of. These run at enterprise volume under enterprise scrutiny. Own the full lifecycle. Discovery, build, eval, launch, and the unglamorous months afterward where an agent goes from good to genuinely reliable. Work directly with the people whose problem it is. You'll sit with leaders at global enterprises, extract the process from their heads, and decide what should be an agent, what should be a workflow, and what should stay human. Push your work back into the platform. The best patterns you find in the field become part of Ema's core product

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a

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. WHAT WE OFFER Paid, full-time internships Post-internship career opportunities (full-time or part-time) Exposure to a fast-paced, fun, and inclusive culture A chance to work with world-class security experts on challenging, high-impact 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 Treated as a full member of the Snowflake team: company meetings and activities, flexible hours, casual dress code, swag, and much more Warsaw office perks: catered lunches, access to recreational games, happy hours, company outings, and more WHAT WE EXPECT Must be actively enrolled in an accredited college/university program during the internship period Desired majors: Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field Required coursework: algorithms, data structures, and operating systems Recommended coursework: information security, cryptography, cloud computing, database systems, or distributed systems Duration: 4 months + recommended Strong programming skills in Python or Java Solid knowledge of data structures and algorithms; familiarity with

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 Snowflake Openflow team is building Snowflake’s next-generation open, extensible, and secure data integration platform for real-time, scalable, bi-directional data movement, powered by Apache NiFi. We enable customers to move structured and multi-modal unstructured data across any source and any sink—Snowflake and non-Snowflake alike—through a single, cloud-native platform that supports batch and streaming, and flexible runtimes spanning Snowflake-managed (SPCS) and Bring Your Own Cloud (BYOC) data planes. Our team includes original creators and core contributors to Apache NiFi and industry leaders in data integration, now focused on bringing NiFi’s proven strengths—visual flows, rich connectors, and powerful routing—to Snowflake’s AI Data Cloud at enterprise scale. We work end to end across high-performance runtimes, and curated connectors, partnering closely with product, field, and open-source communities to help customers continuously ingest data, power AI and analytics workloads, and make smarter decisions in real time. As a Software Engineer on the Snowflake Openflow team, you will: Design and implement features in Openflow’s control plane and data plane , contributing to reliable, scalable, and secure services that power real-time, bi-directional data movement fo

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 a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. FIELD RELATED CONTEXT As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. IN THIS ROLE YOU WILL GET TO: Present Snowflake technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in rel

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 a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. FIELD RELATED CONTEXT As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. IN THIS ROLE YOU WILL GET TO: Present Snowflake technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in rel

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 소개 Snowflake는 에이전틱 엔터프라이즈(Agentic Enterprise) 시대를 이끌어가고 있습니다. 이러한 새로운 시대를 함께 만들어가기 위해, 우리는 모든 분야에서 AI 네이티브(AI-Native) 사고방식을 갖춘 인재를 찾고 있습니다. 단순히 AI 도구를 사용하는 수준을 넘어, AI를 신뢰할 수 있는 협업 파트너로 활용하며 문제 해결과 성과 창출을 가속화할 수 있는 사람을 기대합니다. 우리는 빠르게 변화하는 역동적인 환경에서 겸손한 자세로 협업하고, 실험적인 사고방식을 바탕으로 새로운 기술을 빠르게 검증하며 보다 단순하고 강력한 방법으로 성과를 창출하는 인재를 선호합니다. Snowflake에서 여러분의 역할은 단순히 주어진 업무를 수행하는 것이 아니라, 미래의 업무 방식 자체를 새롭게 정의하는 데 기여하는 것입니다. 포지션 소개 Senior Solution Engineer는 한국 내 기존 엔터프라이즈 고객을 담당하는 전략적 기술 리더 역할을 수행합니다. 주요 담당 산업은 제조산업(Manufacturing) 및 Hi-Tech 부문입니다. 본 포지션은 Account Executive와 긴밀하게 협력하여 고객의 Snowflake 활용도 증대, 워크로드 확장, 그리고 다양한 사업 부문(Line of Business)으로의 성장을 지원합니다. 또한 고객사의 기술 및 비즈니스 의사결정권자들에게 신뢰받는 기술 자문가(Trusted Advisor)로서, Snowflake를 데이터, 분석 및 AI 전략의 핵심 플랫폼으로 활용할 수 있도록 안내합니다. 이 역할은 고객 중심(Customer-First)의 대외 활동(Field-Facing) 포지션으로, 깊이 있는 기술 역량과 산업에 대한 이해, 그리고 영향력 있는 아키텍처를 설계하고 효과적으로 전달할 수 있는 능력을 요구합니다. 주요 업무 (Key Responsibilities) 기존 고객 계정 활용 확대 (Drive Adoption in Existing Accounts) 한국 내 Snowflake 고객 포트폴리오에 대한 기술 확장 전략을 수립하고 주도합니다. 고객의 비즈니스 목표를 파악하고 이를 Snowflake AI Data Cloud를 통해 실현할 수 있는 워크로드, 활용 사례(Use Case), 사업 부문과 연결합니다. 솔루션 설계, 데모 및 POC 수행 (Solution Design, Demos & POCs) 고객의 아키텍처 및 활용 사례에 최적화된 데모와 기술 스토리를 설계하고 제공합니다. 성공 기준 정의 및 공동 실행 계획 수립을 포함하여, 플랫폼 도입 가치를 검증하고 의사결정 리스크를 최소화하

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 a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. Field related context As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. IN THIS ROLE YOU WILL GET TO: Present Snowflake technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in rel

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 hiring Software Engineers for our Data Platform team to build and evolve Snowflake's real-time stream processing and data transformation platform. If you've built or researched high-throughput streaming systems or scalable transformation engines - in industry or graduate work - we want to talk. AS A SOFTWARE ENGINEER, DATA PLATFORM AT SNOWFLAKE, YOU WILL: Design and implement low-latency stream processing and in-flight data transformation systems at global scale Own correctness and performance of streaming execution (watermarks, exactly-once delivery, out-of-order handling) Build transformation primitives and operators that run reliably at cloud-scale throughput Contribute to architectural decisions for our next-generation streaming and transformation platform Write production-quality systems code and collaborate across product and engineering teams OUR IDEAL CANDIDATE WILL HAVE: BS/MS/PhD in Computer Science or related field — graduate research in streaming, distributed systems, or query/transformation engines is a strong differentiator Deep distributed systems fundamentals: fault tolerance, consistency, state management Hands-on or experience with stream processing or transformation systems (Flink, Kafka Streams, Spark Structured Streaming, or similar) Proficiency i

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 a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. Field related context As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. IN THIS ROLE YOU WILL GET TO: Present Snowflake technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in rel

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Sr. Data Cloud Engineer(s)(multiple positions) – Duties are using relational database systems, CI/CD pipeline, Kubernetes for application deployments, terraform IAC, Observability using Splunk, server-side GitHub REST API, & Snowflake, Spark, & Python to design, automate, implement & maintain data architecture patterns in AWS & GCP for data collection infrastructure & pipelines for multi-region cloud-based big data IaaS & PaaS solutions including performing requirements & document use technology analysis; coordinating data integration & ETL processes; supporting data security, integrity & cost controls; automating data processes utilizing Cloud Composer & develop SQL scripts for data modeling; performing end-to-end pipeline load performance testing; supporting technology upgrades through PostgreSQL & Cloud SQL cloud migrations; performing SQL & NoSQL database tuning & maintenance; providing guidance on data management & SQL optimization; & developing data warehousing management policies. Requires Bach degree in Comp Science, Comp Engineering, Information Technology (IT) or related field & 5 yrs exp in job duties as stated. Position is with Dun & Bradstreet in Jacksonville, FL. Inquire and send resume through Dun & Bradstreet’s job board at https://jobs.lever.co/dnb. Position is under Sr. Data Cloud Engineer for Jacksonville, FL. #LI-DNI

About the Team Want to be the engineer who turns our Voice AI platform from a product into a production-grade solution inside a client's business? Then joining us as a Forward Deployed Engineer might be the perfect fit for you! When enterprises trust our voicebot AI to handle thousands of live customer conversations daily, onboarding them right and keeping things running smoothly isn't optional — it's mission-critical. Our FDE team is the technical backbone of every client relationship, responsible for taking clients from signed contract to successful production deployment and beyond. We operate with a strong ownership mindset. Our team moves fast, communicates clearly, and treats every client deployment like a product launch. We work closely with Product, Infra, Biz and Platform Engineering to ensure what we learn in the field shapes how we build. As a Forward Deployed Engineer, you'll work alongside a sharp, client-obsessed team who thrive on solving real-world problems at the intersection of Voice AI and enterprise operations. We know how to party as hard as we work! When we’re not solving customer problems, you can find us discussing the latest tech trends, sharing our favorite books and games, or simply unwinding over a hot cup of chai. If you want a role where no two days look the same and your work directly impacts how businesses talk to their customers, come join us! About the Role As a Forward Deployed Engineer in our Voice AI team, you will be the primary technical owner for client deployments on our B2B voicebot platform. You'll work directly with clients to understand their requirements, configure and deploy voicebot solutions, build customisations, resolve production issues, and ensure ongoing success- acting as the bridge between our platform's capabilities and the client's business needs. If you're someone who loves owning outcomes end-to-end, this role is built for you.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. JOB DESCRIPTION The Equipment Engineer role at Micron Technology, Inc. offers an outstanding opportunity to join a skilled team. This team focuses on launching, developing, and refining processes to improve product quality and reliability. The position aims to improve process yield, reduce costs, increase efficiency, and manage risks flawlessly. You will troubleshoot manufacturing line challenges and find effective solutions. Your duties include identifying, investigating, and resolving process or equipment issues using failure analysis, FMEA, 8D, or SPC methods. You will coordinate assessments and optimize processes, equipment, and materials by making necessary adjustments at various stages. You will lead activities for yield improvement and cost reduction, coordinate new baseline qualifications, and work closely with suppliers to meet quality, cost, and risk goals. RESPONSIBILITIES Guided by program or project objectives, serve as a subject matter expert within a technical field with latitude for decision making. - Ensure close interaction with equipment suppliers. - Work in close collaboration with process and manufacturing teams. - Drive equipment planning, selection, and configuration with the area process engineers. - Advanced troubleshooting of tool issues; solve complex problems and seek mentorship for issues of a highly complex nature. - Ensure continuous knowledge exchange on best-known methods; translate changes from other factories into improvement actions within

The DFP Engineer – Manufacturing role defines and implements the validation and screening of new silicon features within high‑volume manufacturing flows. You will translate product requirements into executable test methodologies, infrastructure, and detailed manufacturing test plans that ensure quality, yield, and efficiency at scale. This role sits at the intersection of multiple multi-functional teams to make manufacturing test an outstanding part of the overall codesign and DFP lifecycle. What you will be doing: Own end-to-end manufacturing test methodology across all test stages. Translate system specs and product POR into DFP requirements, test content, coverage, and flows. Define and maintain the DFP roadmap, including infrastructure and turning point planning. Partner multi-functionally to implement test content, debug hooks, and coverage improvements. Drive alignment on manufacturability, test time, binning strategies, and cost vs. coverage trade-offs. Embed testability requirements into design to enable robust screening and debug. Define data and analytics frameworks to support yield analysis and continuous improvement. Lead DFP documentation as the single source of truth and feed findings into future methodologies. What we need to see: MS in Electrical Engineering, Computer Engineering, or related field (or equivalent experience) 6&#43; years in silicon post‑silicon validation and/or high‑volume manufacturing test for complex SoCs, GPUs, CPUs, or similar. Hands‑on experience with test content bring‑up, limit setting, correlation to characterization, and yield/coverage optimization. Proficiency with scripting and data analysis (e.g., Python, MATLAB, R, SQL) for test data analytics, limit tuning, and yield/debug analysis. <

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. The Role As part of the Core Products Business Unit (CPBU) Systems Software team, you will join a high-leverage engineering initiative dedicated to transforming upgrade workflows and lifecycle operations. Our goal is to shift hardware upgrades from manual, support-intensive workflows toward a safer, guided, automated self-service experience integrated directly into Pure1 and Skyline. In this role as a Systems Software Engineer (MTS3), located on-site in Santa Clara, CA, you will build dedicated systems infrastructure and controller-upgrade automation for our next-generation upgrade framework. You will bridge on-array software execution with cloud-guided operations, eliminating manual choreography and runbooks while maintaining uncompromising standards for safety and availability. What You'll Do Design & Build Upgrade Infrastructure: Architect, implement, and maintain high-reliability systems software components for controller-upgrade automation and the next-generation hardware upgrade framework. Automate Upgrade Workflows: Transition complex hardware replacement and upgrade tasks into repeatable, self-service workflows, significantly reducing support and field dependencies. Engineered Safety & Resilience: Build robust state machines, health checks, workflow orchestration, pre/post-upgrade validations, failure-handling mechanisms, and automated recovery paths. Cross-Functional Collaboration: Partner closely with int