Production Dx Engineer Jobs

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. Key Responsibilities Monitor, operate, and maintain semiconductor process equipment to support stable production. Perform preventive and corrective maintenance (PM / CM) to minimize unplanned downtime. Respond to equipment alarms and abnormalities with first-line troubleshooting and tool recovery. Act as Tool Owner for assigned tools or toolsets, driving availability and reliability improvement. Analyze equipment data and history to perform root cause analysis and implement improvements. Work closely with Process Engineers and Production teams to support yield and process stability. Support new tool installation, tool conversion, recipe verification, and production ramp-up. Manage spare parts and consumables to ensure proper inventory and usage. Prepare and follow SOPs, operating guidelines, and safety requirements. Ensure all activities comply with EHS standards and company policies. Communicate major issues clearly and perform effective shift handover. Qualifications Bachelor’s degree or above in Engineering or related fields. Experience in semiconductor fab equipment or process engineering. Knowledge of equipment maintenance, troubleshooting, and RCA. Strong communication skills and ability to work cross-functionally. Willingness to support shift rotation or on-call duty. Preferred Experience as a Tool Owner or leading equi

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to manufacturing organisations across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with manufacturing brands. You'll leverage your consultative sales expertise in the manufacturing sector to propel revenue growth while becoming a trusted partner to manufacturing stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in production, supply chain, and operations. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with manufacturing decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the manufacturing sector. Navigate complex manufacturing organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to manufacturing procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze manufacturing market landscapes, trends, an

About the Team The Applied AI Engineering team partners closely with customers to help them turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across strategy, solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Digital Natives segment serves technology and software companies that are building AI into the core of their products and businesses. These customers are often highly technical, move quickly, and are among the earliest adopters of OpenAI’s newest capabilities. Our Applied AI Engineers work directly with their engineering, product, and technical leadership teams to identify high-impact opportunities, solve complex technical challenges, and bring ambitious AI applications into production. About the Role We are seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of our most strategic technology and software customers in the Americas. In this role, you will lead a team of Applied AI Engineers who work hands-on with customers to design, build, evaluate, and scale AI applications. You will help determine where deep technical partnership can unlock the greatest customer and business impact, while developing repeatable approaches that allow the team to support a broad and fast-moving customer segment. As a manager, you will set the strategy and operating model for the team, coach and develop engineers, and serve as a senior technical partner to customers and internal stakeholders. You will work closely with Sales, Product, Engineering, and Research to connect what we learn from customers with OpenAI’s product direction and help customers take advantage of our newest capabilities. Success in this role will be measured by meaningful production applications, sustained adoption and usage, strong customer outcomes, and

About the Team: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking a Manufacturing Test Engineer to own and drive manufacturing test strategy, development, and execution for complex AI hardware systems. This role will define and implement test coverage across the product lifecycle, including ICT, functional circuit test, tray-level functional test, and system manufacturing test. You will work closely with hardware design engineering, diagnostic/software teams, manufacturing engineering, quality, and external system integrators and suppliers to translate product requirements into robust, scalable, and production-ready test solutions. You will also play a key role in reviewing test data, debugging failures, improving yield, and ensuring manufacturing test readiness from early development through volume production. In This Role, You Will: Define and drive the manufacturing test strategy for boards, trays, and system-level hardware assemblies across EVT, DVT, PVT, and production ramp. Develop and manage test coverage for: ICT / structural test FCT / board-level functional test Tray-level functional and integration test System-level manufacturing and bring-up test Partner closely with electrical engineering, system engineering, and diagnostic/software teams to define test requirements, review manufacturing test scripts and diagnostics, validate failure isolation needs, debug hooks, logging, and production screening strategies. Translate engineering requirements into practical, scalable manufacturing test plans that

About the Team We are building general-purpose robotics. In the short term, we are focused on robots to support skilled workers to build our future infrastructure. In the long term, we imagine everyone having a personal robot doing anything they need. Progress is rapid, and based on a foundation of co-design between robotics hardware and ML research. About the Role As a Firmware Engineer, you will define and drive the architecture of embedded systems for next-generation hardware products. You will own foundational firmware decisions across real-time execution, device bring-up, hardware interfaces, fault handling, safety mechanisms, and production readiness. We’re looking for someone with deep experience building safety-critical or high-consequence systems, where failures can have meaningful consequences. You should be comfortable reasoning about risk, designing for diagnosability and graceful degradation, and creating engineering practices that raise the reliability bar for the entire team. You should also be unusually good at moving fast. Sometimes the right answer is a carefully reviewed architecture that will endure for years; sometimes it is getting a rough-but-useful prototype working by the end of the afternoon so the team can learn something concrete tomorrow. We value engineers who know the difference, make that call well, and can operate credibly in both modes. You will be both a technical leader and a hands-on builder: setting direction, reviewing critical designs, unblocking the hardest problems, and writing production firmware when it matters most. Our embedded stack uses a lot of Rust. Extensive experience in the language is a big help! This role is based in San Francisco, CA. This role will be expected to be in office 4 days per week and offer relocation assistance to new employees. In this role, you will: Rapidly bring up new hardware and set execution pace for the team. Lead firmware architecture for embedded systems spanning boot, RTOS/runtime behav

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. Responsibilities and tasks (not limited to) • Timely oversee the production line status(Tool, WIP...) and cooperate for best production performance (Output, cycle time...) • Analysis production related data and provide strategy dynamically to achieve Prod. related KPI Goal • Continuously improvement such as workload reduction Lost time RPTOI scheduling Q-time control...etc. • Leading operators to timely monitoring production status and feedback capacity issue. • Ability to manage multiple tasks concurrently and provide guide line priority to be focused by a given timeline. • Proven ability to accurately analyze and interpret data. • Demonstrated excellence in teambuilding, mentoring and coaching 1. Experience of production line management 2. Familiar with Microsoft Office 3. Willing to work in shifts (Day or night, 42 shift or 43/34 shift 3 days on, 4 days off then 4 days on, 3 days off) 4. Able to work under pressure 5. Good communication & interpersonal skills Additional Job Description • Develops, implements and maintains methods, operation sequence and processes in the manufacture or fabrication of parts, components, sub-assemblies and final assemblies. • Interfaces with design engineering in coordinating the release of new products. Estimates manufacturing cost, determines time standards, and makes recommendations for tooling and process requirements of new or existing product lines. • Maintains records and reporting syst

We believe that communication belongs to everyone. Our mission is to democratize phone service and remove barriers that prevent people from staying connected. As TextNow continues to evolve, Artificial Intelligence is becoming a foundational capability across our products, operations, and employee experience. Our AI Labs team is responsible for identifying, validating, and scaling AI-powered solutions that create measurable impact for customers and employees. We're looking for a Senior Software Developer who can help transform AI opportunities into production-ready systems, partner with stakeholders across the business, and accelerate TextNow's adoption of AI technologies. What You'll Do Build AI-Powered Solutions Design, develop, and deploy AI-enabled applications, services, and automations Build internal tools and intelligent workflows using LLMs, AI agents, and orchestration frameworks Evaluate emerging AI technologies and rapidly prototype new concepts Transform proofs-of-concept into scalable production systems Lead Technical Delivery Drive architecture and implementation decisions for AI initiatives Define patterns and standards for AI application development Balance experimentation speed with security, governance, and operational excellence Ensure solutions are reliable, observable, maintainable, and cost-effective Enable the Organization Partner with business stakeholders to identify high-value AI opportunities Translate business problems into technical solutions Consult with teams across Product, Engineering, Customer Care, Trust & Safety, Marketing, Finance, and Operations Help teams adopt AI capabilities and best practices Build Internal AI Capabilities Develop reusable AI services, frameworks, and components Create integrations wi

We believe that communication belongs to everyone. Our mission is to democratize phone service and remove barriers that prevent people from staying connected. As TextNow continues to evolve, Artificial Intelligence is becoming a foundational capability across our products, operations, and employee experience. Our AI Labs team is responsible for identifying, validating, and scaling AI-powered solutions that create measurable impact for customers and employees. We're looking for a Senior Software Developer who can help transform AI opportunities into production-ready systems, partner with stakeholders across the business, and accelerate TextNow's adoption of AI technologies. What You'll Do Build AI-Powered Solutions Design, develop, and deploy AI-enabled applications, services, and automations Build internal tools and intelligent workflows using LLMs, AI agents, and orchestration frameworks Evaluate emerging AI technologies and rapidly prototype new concepts Transform proofs-of-concept into scalable production systems Lead Technical Delivery Drive architecture and implementation decisions for AI initiatives Define patterns and standards for AI application development Balance experimentation speed with security, governance, and operational excellence Ensure solutions are reliable, observable, maintainable, and cost-effective Enable the Organization Partner with business stakeholders to identify high-value AI opportunities Translate business problems into technical solutions Consult with teams across Product, Engineering, Customer Care, Trust & Safety, Marketing, Finance, and Operations Help teams adopt AI capabilities and best practices Build Internal AI Capabilities Develop reusable AI services, frameworks, and components Create integrations wi

About the Team The Cybersecurity Products team builds products at the frontier of AI and cybersecurity. Our work includes Codex Security and related cyber products that turn advances in model capability into dependable tools for defenders. We help teams find, validate, and remediate vulnerabilities, continuously improve the security of software, and test AI-powered applications before they reach production. About the Role As a Full Stack Software Engineer, you will build the product experiences and systems that make AI-powered security useful in real engineering environments. You will work across web surfaces, APIs, orchestration, data models, and integrations to help security and engineering teams move from a codebase or application to evidence-backed findings, prioritized remediation, and revalidation. You will collaborate closely with product engineers, security researchers, and customer-facing teams. The work spans fast-moving product development and hard systems problems: long-running workflows, large repositories, sensitive data, reliability, observability, and a high bar for earning user trust. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Build end-to-end workflows for vulnerability discovery, security scanning, red teaming, findings review, remediation, and reruns. Design and operate backend services for long-running security work, including APIs, asynchronous orchestration, durable state, and integrations with developer workflows. Make complex security results actionable through clear product surfaces, strong evidence, thoughtful prioritization, and reliable reporting. Partner with security researchers, product teams, and users to evaluate quality, reduce noise, improve coverage, and ship safely. You might thrive in this role if you: Have experience shipping production full-stack products across modern web frontends and backend s

Welcome systems thinkers. System builds software to help the world see and solve anything as a system, starting in healthcare. We are a Public Benefit Corporation driven by purpose and shaped by values. We hire systems thinkers who are motivated by our purpose, share our values, and have the skills to advance our mission. At System, research is the origin of our most important ideas — and researchers work at the frontier of graph theory, clinical AI, causal inference, and knowledge representation to push the boundaries of what our platform can do. As a researcher at System, you will: Develop and validate novel methods for modeling complex, interconnected systems Work at the intersection of graph theory, machine learning, and domain-specific knowledge Collaborate with Data Science and Engineering to transition research findings into production Publish and present findings that advance both the field and System's mission Partner with clinical and domain experts to ground research in real-world impact Contribute to a culture of intellectual rigor, curiosity, and continuous learning The ideal candidate has: Master's or PhD in Computer Science, Statistics, Biomedical Informatics, or a related field A strong publication record or equivalent applied research experience Deep expertise in machine learning, statistical modeling, or computational methods Experience working with complex, heterogeneous, or graph-structured data Ability to communicate research findings clearly to both technical and non-technical audiences Comfort operating in a fast-paced startup environment alongside a long research horizon Bonus if you have: Experience with clinical NLP, EHR data, or healthcare ontologies (SNOMED, ICD, OMOP) Familiarity with knowledge graphs, semantic web technologies, or ontology engineering Background in causal inference, systems dynamics, or complex adaptive systems Experience collaborating with clinicians, policymakers, or public health researchers You might be

Welcome systems thinkers. System builds software to help the world see and solve anything as a system, starting in healthcare. We are a Public Benefit Corporation driven by purpose and shaped by values. We hire systems thinkers who are motivated by our purpose, share our values, and have the skills to advance our mission. At System, this means designing the pipelines, platforms, and model-serving systems that power our healthcare data products — reliably, responsibly, and at production grade. As a Data & AI/ML Engineer at System, you will: Design and maintain scalable data pipelines and ETL/ELT workflows Build and operate infrastructure for training, deploying, and serving ML models in production Develop feature stores, vector databases, and other AI-enabling data infrastructure Ensure reliability, low latency, and high availability of data systems Partner closely with Research and Data Science to move findings into production Implement monitoring and observability for data and model health Contribute to infrastructure as code practices and documentation on cloud platforms The ideal candidate has: Bachelor's or Master's degree in Computer Science, Engineering, or a related field 4+ years of experience in data engineering, ML engineering, or a related discipline Strong proficiency in Python and SQL; experience with Spark, dbt, or Airflow a plus Experience building and maintaining cloud data infrastructure (AWS, GCP, or Azure) Understanding of ML lifecycle management, model versioning, and deployment patterns Comfort with systems design principles applied to data-intensive architectures Bonus if you have: Experience with containerization and orchestration (Docker, Kubernetes) Familiarity with knowledge graphs, graph databases, or semantic data models Experience with data migrations while maintaining service availability Background working with clinical or healthcare data Exposure to LLMOps or AI governance frameworks You might be a fit if you: Think i

P-1477 Databricks is transforming how it builds and operates People Technology — moving from traditional SaaS configuration toward an AI-native, agentic stack. You'll be the technical anchor of the People Tech pod, driving the architectural shift from workflow automation to autonomous, multi-agent systems that power HR, recruiting, workforce analytics, and employee experience at scale. This is a rare opportunity to reimagine a critical enterprise domain from the ground up using the very data and AI platform Databricks sells to the world. What you'll do Architect and build agentic systems that automate and augment People Tech workflows — onboarding, offboarding, comp analysis, policy Q&A, HR service delivery — using LLM orchestration frameworks (LangGraph, AutoGen, or equivalent). Define the agentic platform strategy for the pod: agent design patterns, tool-calling conventions, retrieval-augmented pipelines, evaluation frameworks, and human-in-the-loop guardrails. Integrate People Tech systems (Workday, Greenhouse, ADP etc.) as agent-accessible tools and data sources via Databricks Unity Catalog and MCP-style interfaces. Set the technical bar for the pod — reviewing designs, establishing engineering standards, and leading architectural reviews across the People Tech roadmap. Influence peers and stakeholders: translate agentic capability into business outcomes for People, Legal, and Finance partners, and mentor engineers in the pod on AI-first thinking. What we're looking for 8+ years of software engineering experience, with at least 2 years building production LLM or agentic applications (agents, RAG pipelines, tool-use, multi-agent orchestration). Deep fluency in Python and experience with agentic frameworks — LangChain/LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar. Strong command of enterprise integration patterns: REST/GraphQL APIs, event-driven architecture, and connecting SaaS HR/HCM platforms programmatically. Experience with data platforms — Data

Opportunity Overview: We are seeking a Senior Software Engineer - AI to join our Engineering team. In this role, you will build the intelligent agents and applications serving health insurance plans covering over 15 million people. You'll partner closely with product, data science, and clinical teams to build the foundation that transforms how clinical intelligence is delivered at scale. This is an opportunity to make a direct impact on healthcare outcomes while working with modern technologies in a fast-paced, collaborative environment. What you’ll do: Agent Development : Participate in the development, evaluation, and deployment of Cohere’s AI-powered agents and applications. Data & Retrieval Architecture : Design data and retrieval architectures that give AI agents the right context across diverse healthcare sources. Hands-On Engineering : Design, review, and own high-quality agentic code — leading releases, production deployments and on-call support. Cross-Functional Collaboration : Work closely with ML/DS teams, product teams, and architects to understand requirements and ensure systems meet business needs. Security & Compliance : Ensure all agentic components comply with healthcare security and privacy regulations (e.g., HIPAA) and adhere to industry best practices for security. Agile Development : Contribute to sprint planning, execution, and retrospectives, driving efficiency and velocity within the engineering team and collaborating closely with stakeholders to align with product goals and business priorities. ISMS roles and responsibilities: Good knowledge of Information practices. Assist the manager in all the information security activities implementation and maintenance process. Ensuring the team and imparted with Competence related to Information security Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager. Required Qualifications: Must-haves Bachelor’s degree

Band 7 Sonographer - Obs & Gynae - Permanent • Position: Obs & Gynae Sonographer • Banding: 7 • Location: Limerick, Ireland • Start: ASAP • Rate: €65000-€70000/annum We are seeking a highly skilled Band 7 Obs & Gynae Sonographer to join our team in Limerick, Ireland. This role offers a competitive pay rate of €65000-€70000 per hour, with working hours from 0900-1700. The position is permanent and an excellent opportunity for a dedicated sonographer to work in a dynamic healthcare environment, providing top-notch diagnostic imaging services. Responsibilities: As a Band 7 Obs & Gynae Sonographer, you will perform a variety of general ultrasound scans to support the diagnosis and treatment of patients. You will operate advanced ultrasound equipment, ensuring the production of high-quality images and detailed reporting. Your role involves maintaining patient comfort and safety during procedures, adhering to established protocols, and collaborating with a multidisciplinary team to ensure seamless service delivery. Additionally, you will contribute to the department’s quality assurance and continuous improvement efforts. Requirements: Degree in Diagnostic Radiography or equivalent qualification with a postgraduate diploma in Medical Ultrasound. Current registration with the CORU. 5 years' experience in Obs & Gynae ultrasound imaging, preferably at Band 7 level. Proficiency in operating advanced ultrasound equipment. Strong knowledge of ultrasound safety standards and best practices. Excellent communication and interpersonal skills. Ability to work independently and manage time effectively. Commitment to delivering high-quality patient care and ongoing professional development. Flexibility to adapt to different working hours as required. Why work with Pulse? From the moment you register with us, our focus is entirely on you. During our first conversation, you’ll quickly see that we understand your specialty inside and out. Our expert recruitment consult

As organizations rapidly adopt AI applications and agentic systems, security teams need visibility and control over how these technologies are being used. Datadog's AI & Data Security product helps customers discover, secure, and govern AI usage across their environments ensuring sensitive data is properly managed from model training through production. As a Product Manager II for AI & Data Security, you will own capabilities for AI discovery, posture management, and data security; giving customers complete visibility into their AI applications, agents, and enabling ecosystem, with prioritized actions to operate AI systems securely. You'll partner with engineering, design, security research, and GTM teams to define and ship platform capabilities that help organizations adopt AI at scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the roadmap for AI & Data Security capabilities, including AI and data discovery & posture management. Define how security teams can assess and manage the security posture of AI-enabled systems, including configuration risks, sensitive data exposure, and policy violations. Work closely with engineers and designers to deliver new product capabilities end-to-end, from early concept through launch and iteration. Partner with Datadog security researchers to identify emerging risks in AI systems and translate them into actionable product features. Engage with customers to understand how they are adopting AI and validate solutions that help them operate these systems securely. Collaborate with go-to-market teams to enable adoption and communicate the value of AI security capabilities to customers. Who You Are: You have 3+ years of product management experience building technical products, ideally in security,