Production Dx Engineer Jobs

Senior Data Scientist Description - The Team We are an expanding team at HP that develops applications that make use of Generative AI and Large Language Models. We work with business units mainly from the Commercial Organization to develop and run solutions that help our sales teams and customers. Responsibilities Defines and implements AI solutions to create business value and innovation. Works with Data Science leaders to develop new innovative solutions to existing or new business challenges. Develops clear presentations for business stakeholders and managers. Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives. Knowledge & Skills Proficiency in Python and PySpark Programming: Strong coding skills in Python for data manipulation, model development, and integration with Azure services. Experience with Azure Services: Knowledge of key Azure services like Azure Machine Learning, Azure AI Search, and Azure Functions for deploying RAG systems. Expertise in Databricks: Ability to design, develop, and optimize workflows in Azure Databricks for data processing and feature engineering. Understanding of NLP and GenAI concepts: Familiarity with Large Language Models, prompt engineering for LLMs, vector databases, and Retrieval Augmented Generation (RAG) systems. Experience in Applied Statistics and Algorithms: Use statistics, mathematics, algorithms, and programming to address business challenges. Familiarity with the deployment and scaling RAG systems in production, using Azure’s containerization options such as Docker, AKS (Azure Kubernetes Service), or Azure Funct

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. Our EDA and Design Enablement team sits at the heart of Micron’s memory development. We build and support the tools and flows that enable world-class CMOS design at scale. We work closely with design, layout, and process teams, and we thrive on solving hard technical problems that directly impact product success. As a CAD Engineer, you will play a critical role in keeping our AI enabled design ecosystem running efficiently and reliably. You’ll develop, improve, and support both in-house and commercial EDA tools while partnering closely with engineers across the design flow. This is a hands-on role for someone who enjoys debugging, innovating, and enabling others to do their best work. Responsibilities: Design, develop, and support AI assisted CAD software, EDA tools, flows, and methodologies for CMOS design and verification Debug, evaluate, and support in-house and commercial AI enabled EDA solutions in a production environment Develop P-cells, scripts, and automation for physical design, verification, optimization, and tapeout Collaborate closely with design, PI, and process teams to solve workflow and tool challenges, and to implement scalable layout methodologies aligned with PDK requirements Document processes and provide training and support for end users Minimum Qualifications: Bachelor’s degree in Computer Engineering, Computer Science, or a related field 2+ years of experi

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We're looking for a Creative Producer to manage the end-to-end production of creative work across Plaid's marketing and brand campaigns, from paid ad content and growth marketing assets, to event activations, to partner and customer marketing deliverables. This role partners closely with marketing, brand, and design to keep creative work moving: intake is clear, timelines are realistic, quality bars are met, and nothing falls through the cracks between "we need this" and "it's shipped." You thrive on variety. One week you might be managing production for a paid digital campaign, the next coordinating creative for an on-site event activation. This is an execution-focused role: you take defined project plans and briefs and run them with rigor, using sound judgment on day-to-day production decisions while partnering with your manager/stakeholders on more ambiguous or higher-stakes calls. Responsibilities Manage production for paid marketing campaigns, coordinating asset creation, timelines, and approvals across creative and marketing stakeholders Support partner and customer marketing projects, producing creative deliverables that meet both brand standards and partner/customer requir

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. About the Role As a Research Engineer in OpenAI's Monetization Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize mod

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: The Imagine Product team is redefining AI-driven media experiences for Grok users worldwide. In this role, you’ll build the communications system that meets creators where they are: public proof of what Grok Imagine can do, programs that show creators how it makes them faster, more cost-efficient, or more ambitious, and a community that runs from individual makers to production houses. The job is to move the brand from talking about itself to making other people talk about it — through proof, craft, and community. If you’re a hands-on communicator who can turn product capability into credible stories, repeat advocates, and a feedback loop back into the product, this is your opportunity to make a lasting impact. RESPONSIBILITIES: Own creator and community communications strategy for Grok Imagine — plan and execute outreach that turns product capability into visible proof, creator adoption, and durable brand affinity. Build and ship product-showcase content across owned channels. Design and run influencer programs as two distinct motions: awareness partners who put Grok Imagine in front of volume, and craft partners. Build relationships with production houses, stud

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across silicon, embedded systems, operating systems, and cloud services to build reliable consumer devices and the novel platforms required to support them. We partner closely with research to bring advanced AI capabilities into the physical world. About the Role As an Operating Systems Engineer focused on on-device inference, you will design, develop, and ship the OS stack that makes advanced AI capabilities reliable, responsive, and energy efficient on consumer devices. Your work will span OS services and frameworks, inference runtime integration, model fitting, scheduling, and performance and power management. You’ll partner with research to adapt models to device constraints, make design decisions across the stack, and carry solutions from early exploration through integration and production. In this role, you will: Build the inference platform: Design and implement maintainable OS services, frameworks, and clear interfaces for inference execution, model loading and lifecycle, and resource management. Fit models to device constraints: Partner with researchers on quantization, runtime integration, and memory optimization to meet memory, compute, and energy budgets while evaluating model quality and product behavior. Coordinate system resources: Develop scheduling and resource policies that balance inference with other device act

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across custom silicon, embedded systems, operating systems, and cloud services to build reliable consumer devices and the platforms behind them. We connect kernel development with the broader software stack to deliver complete product capabilities. About the Role As an Operating Systems Engineer focused on the Linux kernel, you will design, develop, and maintain the kernel capabilities that underpin OpenAI’s consumer devices. You’ll bring deep expertise in one or more Linux kernel subsystems and carry solutions through the higher-level software stack. Your ownership will extend into the userspace services, libraries, tools, and interfaces needed to deliver complete product features. You’ll shape the boundaries between kernel and userspace, make design decisions across the stack, and see your work through development, integration, and production. In this role, you will: Build kernel capabilities: Design, implement, and maintain Linux kernel subsystem changes that support device capabilities and product requirements. Own features across the stack: Choose appropriate kernel and userspace boundaries, and build the interfaces and supporting components needed to deliver reliable features in shipped products. Debug complex system behavior: Use tracing, profiling, instrumentation, and diagnostic tools to resolve correctness, concurrency, p

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across systems software and product engineering to build reliable consumer devices and the platforms behind them. We develop the connectivity and networking foundations that support communication across OpenAI products and systems. About the Role As an Operating Systems Engineer focused on connectivity and networking, you will design, develop, and maintain the OS capabilities that enable reliable, secure, and efficient communication across OpenAI products and systems. Your work will span Wi-Fi and Bluetooth frameworks, IP networking, and advanced network services and policy. You’ll develop OS services, libraries, and interfaces for a broad range of connectivity needs, make design decisions across software boundaries, and carry solutions through development, integration, and production. In this role, you will: Build connectivity foundations: Design, implement, and maintain OS services, frameworks, and APIs for Wi-Fi, Bluetooth, and IP networking. Develop reusable network capabilities: Build connection management, network configuration and selection, service discovery, and routing capabilities. Enable secure communication: Develop network services and policies for secure communication, traffic management, and isolation across varied network environments. Resolve issues across the stack: Investigate correctness, concurrency, interoper

About eClinical Solutions eClinical Solutions is transforming clinical development with elluminate®, our Clinical Data Cloud , helping life sciences organizations unify, analyze, and unlock the value of their data faster than ever before. By combining a modern cloud platform with expert data services, we empower smarter decisions across the clinical trial lifecycle—accelerating innovation that ultimately improves patient outcomes. Our engineering teams build enterprise-grade, revenue-generating products at the intersection of cloud, data, analytics, and emerging AI technologies . If you’re excited about building sophisticated software that makes a real-world impact on healthcare, this is the place to do it. You will make an impact: As a Principal Full Stack Software Engineer , you will be a technical leader within the elluminate Product Development team. You’ll help design and build the core services and user experiences of a next-generation clinical data and analytics platform—while influencing architecture, engineering standards, and technical direction. This role is ideal for an experienced engineer who enjoys hands-on development , mentoring others, and bringing modern capabilities—including AI-assisted and agentic workflows—into production-grade systems . Your day to day: Design, develop, test, and deploy scalable, secure, and highly interactive web applications Own and evolve core platform modules , from concept through release and support Influence application and system architecture with a focus on performance, reliability, security, and maintainability Lead by example through clean, well-tested code , thoughtful design reviews, and pragmatic technical decisions Collaborate closely with Product Management, QA, and other engineers throughout the SDLC Provide technical mentorship and guidance to other engineers on the team Diagnoses and resolves complex production issues across distributed systems Ensure solutions meet eClinica

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 The Everpure Engineering team builds the industry’s most innovative, high-performance, and highly available portfolio of storage products designed for the most demanding mission-critical applications. While we deliver hardware storage arrays, over 90% of our engineering staff are software engineers. Our customers are the core of our business, and they love FlashArray for its simplicity, continuous stream of upgrades, and ability to stay on the cutting edge without ever experiencing downtime. These innovations enable our customers to leverage the agility of the public cloud across both traditional IT and cloud-native applications. WHAT YOU'LL DO Hardware Design & Leadership: Plan, lead, implement, and debug hardware design and qualification projects from concept through production. Full Lifecycle Participation: Participate in all phases of product development, including architecture design, technical documentation, eDVT, failure analysis (FA), and custom hardware support. Validation & Automation: Define, execute, and automate hardware validation and qualification frameworks to enhance test coverage, efficiency, consistency, and product robustness. Cross-Functional Collaboration: Partner with Software, Operations, Manufacturing Test, and Support teams to seamlessly introduce new storage subsystems into production. Escalations & Root Cause Analysis: Serve as an escalation point for

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 Director, Priority Support Engineering EMEA reports into the Head of Global Support and owns paid support offerings end-to-end for their designated Region. Operating in an environment of both direct reports and matrixed relationships, the ideal candidate has a proven track record of either leading premium support / designated technical advisory organizations OR selling and positioning technical solutions to enterprise customers in a senior field role, with revenue accountability either way. This role brings together a mix of responsibilities with multiple areas of critical focus. This role maintains relationships at all levels with Customers, Sales Leadership, Solutions Engineering, Delivery Teams, Operations Teams, and Key Partners. They are expected to sustain KPIs across multiple disciplines including Revenue, Attach, Consumption, Retention, and Staffing. Snowflake's paid support offerings are designed to deliver value customers feel, through both quality reactive interactions and proactive, advisory-led engagement, measured on the outcomes that matter to their business. This role leads the regional Designated Support Engineer (DSE) team, the post-sales production support force that delivers Priority Support today and will scale as our paid support portfolio expands.

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Link is a digital wallet designed for fast and secure online payments. It allows consumers to save and use their preferred payment methods across the Link network, helping them check out quickly and securely wherever Link is accepted. The Link Fraud and Auth team works to make Link the most trusted and highest-performing way to pay. We protect consumers and merchants from fraud, abuse, and financial loss while maximizing authorization rates for good users. Our work spans consumer-facing experiences, payment infrastructure, and ML powered risk systems. We manage fraud and financial risk across a growing range of novel Link features, including Link’s agentic wallet, stored balance, and LPMs. The team also owns Instant Bank Payments, a proprietary payment method built on ACH rails, offering merchants immediate confirmation while protecting them from bank-initiated returns. IBP is the heart of Link’s revenue engine, giving LFA engineers the opportunity to shape and scale one of Link’s most important products. What you’ll do As a machine learning engineer on Link Fraud and Auth, you’ll build and operate models and risk decisioning systems that protect Link while helping more legitimate payments succeed. You’ll work across the full machine learning lifecycle, from analyzing fraud patterns and identifying opportunities to building, deploying, monitoring, and improving models in production. You’ll use data to form hypotheses, make practical modeling

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior AI Engineer , you'll join a team focused on data integrations (shippers and carriers moving in and out of the FourKites ecosystem) and our active AI agent workstreams — including a support automation agent handling 60-70% of customer tickets, a voice agent that calls carriers to gather and update information, and an end-to-end carrier onboarding agent (email + voice). You'll work on features end to end (~75-80% backend, ~20-25% frontend) using Python, Java/GoLang, agentic frameworks like LangGraph, React, Redis and PostgreSQL. You'll develop products that change the logistics landscape for some of the biggest corporations in the world, and work closely with our US team and customers to shape the future of the industry. What you’ll be doing: Design, build, and productionize AI agents/workflows (e.g., support automation, voice, and onboarding agents) using agentic frameworks such as LangGraph Develop, test, and maintain backend applications in Python and Java or GoLang Write clean, efficient, and well-documented code across the full SDLC — development, QA, and release Design and implement data models and database schemas Collaborate with the frontend team to integrate the backend with the user interface Perform code reviews and ensure code quality standards are met Troubleshoot and debug applications, including AI agent workflows in production Work with the DevOps team to deploy and manage applications in production (Kubernetes) Continuously learn and stay up to date with new technologies and industry trends, particularly in the AI/agentic space About the team: Our product