Flow Engineering jobs

Staff Aeronautical Engineer - Hydraulics Responsible Engineer United States-California-Palmdale

Continuous Improvement Engineer Burton on Trent, LJ, United Kingdom Company Description: Job Description: Who will you be working with? We are seeking a Production/Continuous Improvement Engineer to join our team at Wabtec UK based in Burton on Trent where we support our customers through maintenance and operation optimisation with customised solutions for spare parts, repair, and overhaul activities on existing trains. Role: Continuous Improvement Engineer Salary: £Competitive Location: Burton on Trent, Staffordshire, (DE13 8EN) Hours: Monday to Thursday 08:00 to 16:30pm and Friday 08:00am to 13:00pm, 37 hours per week Contract Type: Permanent, Full-Time How will you make a difference? As a Production / Continuous Improvement Engineer you will play a key part in optimising manufacturing and assembly processes, removing bottlenecks, and driving Lean initiatives to support both new and existing manufacturing programmes. What will your typical day look like? Support the cost‑effective introduction of new and existing products into manufacture or overhaul Design, develop and validate efficient manufacturing processes, workflows and build sequences Identify and remove production bottlenecks using Lean tools and CI methodologies Create clear, user‑friendly work instructions using visual and written formats Lead and participate in Lean projects Analyse bills of materials (BOMs) to improve kitting efficiency and material flow Develop business cases and present recommendations to management Measure and validate standard times, implementing productivity improvements Support layout design and cell optimisation to improve flow, space and efficiency Ensure equipment meets safety, corporate and operational specifications What do we want to know about you? HNC (or equivalent)

Staff Frontend Software Engineer - Payments and Checkout New York City Are you passionate about solving complex challenges in the fintech space? We're looking for talented individuals to join our dynamic startup, backed by Sequoia Capital. We're building the universal payment layer to unify all currencies-fiat and crypto-so businesses and consumers can transact seamlessly. If you're passionate about creating innovative solutions in a dynamic, fast-paced environment, we want to talk to you. Staff Frontend Engineer (Payments & Checkout) Are you passionate about solving complex challenges in the fintech space? We're looking for a Staff Frontend Engineer (Payments & Checkout) to join our dynamic startup, backed by Sequoia Capital. We're building the universal payment layer to unify all currencies - fiat and crypto - so businesses and consumers can transact seamlessly. In this role, you'll own and evolve our checkout and payment experience - the most critical surface of our product. You'll work closely with product, design, growth, and backend teams to build fast, seamless, and high-converting payment flows. From reducing friction to improving authorization rates, your work will directly impact revenue and user experience. If you thrive on optimizing user journeys and love building performant, elegant frontend systems, we'd love to chat. What You'll Do: - Checkout ownership - Own the end-to-end frontend architecture for our checkout and payment flows across web platforms - Conversion optimization - Improve checkout conversion rates through UX improvements, performance tuning, and data-driven experimentation - Experimentation - Partner with product and growth to run A/B

AI Data Engineer Cupertino, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Are you passionate about building the data pipelines that make AI systems fast, accurate, and reliable? Do you thrive on engineering clean data flows that connect enterprise systems to intelligent applications? Can you build infrastructure that's both production-grade and purpose-built for AI consumption? The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization - and every AI system is only as good as the data flowing into it. The AI Data Engineer owns the pipelines, data feeds, and integration infrastructure that ensure AI applications have the right data, in the right form, at the right time. The AI Data Engineer builds and maintains the data infrastructure that powers AI applications across Legal Operations. You will design and implement data pipelines that ingest from legal systems, transform data into AI-ready formats, load vector databases and other AI stores, and expose data services through APIs. This role is embedded within the AI team and works in close partnership with AI and data colleagues to ensure AI systems have reliable, high-quality data at every stage. • Design and implement data pipelines that ingest, transform, and deliver data from legal systems (matter management, eBilling, CLM, document management) to AI applications •

Customer Product Repair Mechanic Pasadena, Texas US posted: Posted Today

MuleSoft - Senior Developer Bengaluru Why Valtech? We're the experience innovation company - a trusted partner to the world's most recognized brands. To our people we offer growth opportunities, a values -driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you'll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: - The work we do and the innovation we drive - Our values of share, care a nd dare - A workplace culture that fosters creativity, diversity and autonomy - Our borderless, global framework, which enables seamless collaboration The Role We are seeking a highly experienced MuleSoft Lead / Architect to spearhead integration architecture and lead an industrial nearshore development factory. In this role, you will serve as the technical authority for MuleSoft implementations, defining architecture standards, governing code quality, and ensuring seamless knowledge transfer across factory waves. You will collaborate closely with on-site System Architects and Enterprise Architects, acting as the bridge between the factory team and product squads operating within a SAFe agile framework. - A curious problem solver who challenges the status quo - A collaborator who values teamwork and knowledge-sharing - Excited by the intersection of technology, creativity and data - Experienced in Agile methodologies and consulting (a plus) Role & Responsibilities: Architecture & Technical Leadership: - Define

Software Engineer, Accounting New York, NY (HQ), New York City, NY, USA, San Francisco, CA About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you've built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year - far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp is redesigning how businesses manage spend - and the backbone of that vision is clean, auditable, real-time accounting infrastructure. The Accounting Engineering team is building the systems that ensure every transaction and automation maps back to accurate financial statements. We're looking for a mid-to-senior level backend engineer who thrives in complex systems, cares deeply about data integrity, and wants to shape how finance teams interact with modern software. You'll help us save customers time and money and

Solutions Engineer USA (Remote) Affinity is the relationship intelligence CRM trusted by private equity, venture capital, and investment banking professionals to manage their most valuable asset: relationships. Our platform transforms how deal teams source opportunities, manage pipelines, and accelerate deal flow by automatically capturing and organizing relationship data. With our 72-hour implementation and AI-powered insights, we're redefining what's possible in private capital markets. The Role Affinity is the relationship intelligence platform built for the way private equity, venture capital, and growth equity firms actually work. Our customers don't just need a CRM, they need a system that understands their network, surfaces the right relationships at the right time, and turns proprietary deal flow into a competitive advantage. As a Solutions Engineer, you sit at the center of that story. You're the person who makes the complex feel simple by translating Affinity's platform capabilities into clear, compelling narratives for PE and VC deal teams, while ensuring every proof of concept, integration, and technical conversation moves a deal forward. You'll report to the Manager of Solutions Engineering and work closely with AEs, Customer Success, Product, and Engineering. SEs act as the connective tissue across the go-to-market organization. What You'll Do Technical Pre-Sales Own the technical sales motion for Growth, Mid-Market, and Strategic opportunities from first demo to signed contract. Deliver differentiated, persona-driven demos for PE/VC deal teams that connect Affinity's capabilities to how they source, manage, and close deals. Lead discovery conversations to uncover technical requirements, integration needs, and security considerations early

Training Infrastructure Engineer Berlin, Germany, Tübingen, Hybrid Mirelo AI is building the next generation of creative tools by generating realistic sound, speech and music from video. We develop cutting-edge foundational generative AI models that "unmute" silent video content and create custom, hyper-realistic audio for gaming, video platforms, and creators. Our technology empowers global storytellers to transform their content. We recently closed a $41 million Seed round co-led by Andreessen Horowitz and Index Ventures with participation from Atlantic, and are rapidly expanding across Product, Engineering, Go-to-Market, and Growth. About the Role In this role, you'll focus on the full training stack - profiling GPU behavior, debugging training pipelines, improving throughput, choosing the right parallelism strategies, and designing the infrastructure that lets us train models efficiently at scale. You'll work across cluster management, model training, efficient data pipelines for video and audio, inference and optimizing pytorch code. Your work will shape the foundation on which all of our generative models are built and iterated. Key Responsibilities - Find ideal training strategies (parallelism approaches, precision trade-offs) for a variety of model sizes and compute loads - Profile, debug, and optimize single and multi-GPU operations using tools like Nsight and stack trace viewers to understand what's actually happening at the hardware level - Analyze and improve the whole training pipeline from start to end (efficient data storage, data loading, distributed training, checkpoint/artifact saving, logging, …) - Set up scalable systems for experiment tracking, data/model versioning, experiment insights. - Design, deploy and maintain large-scale ML

Senior Software Engineer, Network Infrastructure Seattle, WA A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Senior Software Engineer on Network Infrastructure you will be joining a team whose mission is to make a highly dynamic and intricate Kubernetes networking tech stack a pleasure to interact with, in addition to being legible, robust and secure. The Network Infrastructure team owns the tech responsible for north-south and east-west traffic flows across 100s of zero-trust K8s clusters running variable workloads. The team solves the novel technical challenges emergent at the intersection of scale, usability and security: enabling dynamic control over ephemeral infrastructure (10s of thousands of firewall rules targeting 1000s of short-lived pods) across multiple compliance regimes, using CNCF tools like envoy, cilium with K8s controllers to operate them. In this role, you will be working in one of the most technically challenging spaces at Palantir. The Role As a Senior Software Engineer on Network Infrastructure you will be joining a team whose mission is to make a highly dynamic and intricate Kubernetes networking tech stack a pleasure to interact with, in addition to being legible, robust and secure. The Network Infrastructure team owns the tech responsible for north-south and east-west traffic flows across 100s of zero-trust K8s clusters running variable workloads. The team

Mechanical Engineer, Cooling System Design and Analysis Sunnyvale, CA, USA; +7 more Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). The Thermal Systems Engineering team stands at the forefront of accelerating innovation that powers Google's global infrastructure. As a Mechanical Engineer within the Data Center Technology Systems-a multidisciplinary consortium of engineers and architects dedicated to pioneering next-generation data centers-you will assume a pivotal role in the development, analysis, and optimization of the mechanical cooling infrastructure. You will be a technical leader in this space, influencing design standards and equipment selections across our fleet. In this role, you will be tasked with the design of custom data center cooling equipment and the creation of innovative thermal solutions engineered to meet the demands of an ever-evolving market. You will leverage an

Software Engineer, Data Platform New York, NY (HQ), New York City, NY, USA About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you've built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year - far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Data Platform builds infrastructure and tools that enable Ramp to realize business value from data. We partner closely with stakeholder teams to build this infrastructure and the applications on top of it. This role is particularly focused on building platforms that support the data science development lifecycle. You'll partner with applied scientists, AI engineers, Risk engineers, and other ML developers on building infrastructure and tools that enable and accelerate the development of machine learning models. What You'll Do -

Water Resources Engineer Multiple Locations

Senior AI Integration & Automation Engineer Madrid, Spain Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world's fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what's possible. We invest heavily in advanced AI capabilities-specifically our Process Intelligence Graph-to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet. The Role: We are seeking an enthusiastic and highly autonomous Senior Automation & Integration Engineer to serve as a versatile technical architect across the organization. In this hands-on role, you will act as the “Automation Engine,” directly impacting company efficiency and scalability by orchestrating end-to-end technical solutions. You will be responsible for connecting, transforming, and managing data flows across our entire systems stack through AI-driven automation. We are looking for an individual who embodies extreme ownership: someone capable of proactively engaging stakeholders, unblocking challenges, and getting things done. The Work You'll Do: - Design and Build: Develop and implement robust, scalable AI automation workflows using Make as the primary integration platform to connect core business systems, with particular focus on Workday as our primary ERP. - Orchestrate and Integrate: Take full ownership of technical solutions, managing data flows, transformations, and database manipulation to ensure seamless integration between tools - including Workday Finance and Workday HCM

Pipeline Optimization Engineer Tulsa, OK posted: Posted 8 Days Ago

Security Engineer, Privacy New York, NY (HQ), New York City, NY, USA, San Francisco, CA, Remote (US) About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you've built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year - far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. As Ramp's founding Privacy engineer, you will build a privacy program that powers Ramp's growth while earning trust from customers and prospects. What You'll Do - Build privacy-focused application primitives and integrate them into our existing products - Partner with other engineering teams to design and deploy solutions which are inherently privacy-centric and secure - Improve, implement, and deploy data retention and anonymization strategies across our environment - Track shifting legal standards (alongside with Ramp's Privacy Counsel) and update

Pump Mechanic Technician-Assy Antofagasta, Chile posted: Posted 14 Days Ago

Trading Operations Engineer Hong Kong Flow Traders is looking for an Experienced Trading Operations Engineer to join our fast-paced and dynamic Trading Operations team in Hong Kong. This is an exciting opportunity to play a pivotal role within a leading proprietary trading firm that thrives on innovation, ownership, and performance. We foster a culture where smart, driven individuals are empowered to make meaningful contributions from day one. In this multifaceted role, you will act as an Operations Engineer, taking ownership of the stability, performance, and scalability of our proprietary trading systems and supporting infrastructure. You will collaborate closely with traders, developers, and infrastructure teams to ensure our systems operate at peak efficiency across global markets. What You Will Do - Respond quickly to any technical issues affecting in-house trading applications - Optimize our infrastructure for business needs - Utilise project- and change-management tools to maintain and configure trading infrastructure - Analyse and enhance exchange connectivity - Investigate latency issues and bottlenecks. Collaborate with stakeholders to resolve latency issues and improve overall system efficiency - Monitor and document trading applications and IT infrastructure - Collaborate with developers to design new and improved in-house applications What You Will Need to Succeed - 3-5 years of hands-on experience in a Trading Operations, DevOps, or Infrastructure Engineering role within a proprietary trading or high-frequency trading (HFT) environment. - Deep expertise in Unix/Linux systems, with proven ability to manage complex, latency-sensitive production environments. - Strong programming and scripting skills in Python, with additional experience in

Manager I, Engineering - Subscriptions New York, New York, USA The Subscriptions team is part of Datadog's core monetization platform within Revenue Engineering, supporting a significant portion of revenue through alternative sales channels including cloud marketplaces, partners, and in-app purchasing. This team builds and operates high-throughput, high-availability services that process up to 80k requests per second, along with revenue-critical pipelines that directly impact customer purchasing and entitlement experiences. As Datadog continues to expand into new products and markets, this role will help evolve systems to support new pricing models, purchasing flows, and regional requirements. This is a full-stack engineering leadership role with ownership across both customer-facing features and backend services, offering strong opportunities to shape scalable systems and team growth. 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: Lead and support a full-stack engineering team building and operating Datadog's subscriptions platform Oversee development of high-throughput, high-availability services handling up to 80k requests per second Guide the design and evolution of monetization systems supporting cloud marketplaces, partners, and in-app purchasing Collaborate with cross-functional teams including Billing, Revenue Engineering, and Product to deliver revenue-critical features Drive improvements to purchasing flows, pricing models, and entitlement systems to support new products and markets Ensure system scalability, reliability, and performance as Datadog expands globally Who You Are:

Senior Analytics Engineer South San Francisco, California, USA About Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About

Liquid Cooling Process Engineer 2 Locations You will be part of a world class Global Manufacturing Operation organization and contribute to developing and implementing process development and manufacturing solutions for Cisco's products. • You will Investigate, develop, and deploy manufacturing solutions for hardware systems with liquid cooling & Hybrid solution in large scale. • You will lead in the development of test plans and qualification requirements to ensure mechanical and manufacturing robustness of manufacturing process, including liquid cooling kits assembly, leakage testing and detection, coolant fill, Nitrogen charge, cleanness test, and purge process, curing process and manufacturing testing. • You will establish parameters for thermal testing, correlation of test results between factory and suppliers. • You will partner with Cisco hardware design, component engineering , product engineering, EMS / JDM/ODM manufacturing partner teams to improve specifications and process qualification procedures. Develop repeatable debug and repair manufacturing process for liquid cooling products including thermal and electrical sub components Develop process automation & poka-yoke for better process control, factory quality, and throughput Minimum Qualifications: • BS in Mechanical Engineering • 1 - 2 years of experience in manufacturing and testing for electronic devices and systems, preferably in EMS manufacturing Liquid cooling products. • 5+ years of experience in electronic device and system level air cooled or hybrid technologies • Experience in mechanical design validation and testing for electronic assemblies • Knowledge of PCBA technologies • Capable for Liquid cooling Component and system failure analysis, familiar with leakage/corrosion test detection and coolant purity/contamination

Engineer (Ph.D.) UNAVAILABLE, UNAVAILABLE, CN About Exponent Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients' most profoundly unique, unprecedented, and urgent challenges. We are committed to engaging multidisciplinary teams of science, engineering, and regulatory experts to empower our clients with solutions that create a safer, healthier, more sustainable world. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability. Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent, you'll contribute to the diverse pool of ideas, talents, backgrounds, and experiences that drives our collaborative teamwork and breakthrough insights. Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning. Thanks for your interest in joining our team! Key statistics: 950+ Consultants 640+ Ph.D.s 90+ Disciplines 30+ Offices globally Our Opportunity We are currently seeking an Engineer for our Materials Science and Electrochemistry Practice in Shanghai, China. In this role you will work as part of a team to perform analysis of materials, mechanical, and electrical failures ranging from consumer products and electronics to compl

Manufacturing Engineer Oak Ridge, TN Location: Oak Ridge, TN Schedule: Full-Time Standard Nuclear is fueling America's nuclear renaissance at industrial scale. Our mission is to deliver the essential building blocks of nuclear power-enabling cost-effective, safe, and secure energy for the world. The Manufacturing Engineer is responsible for improving the flow, scalability, and production readiness of Standard Nuclear's fuel characterization activities. This role works at the intersection of characterization, manufacturing, quality, and engineering to ensure that sample preparation, measurement, data review, and reporting processes can support increasing production demand. This is a hands-on engineering role focused on turning characterization from a development-oriented laboratory function into a reliable manufacturing support operation. The Manufacturing Engineer will help identify bottlenecks, improve workflows, develop standard work, support capacity planning, and implement process improvements that increase throughput, consistency, and traceability. The role requires enough technical understanding of materials characterization to work effectively with scientists and technical staff, while bringing a practical manufacturing mindset focused on cycle time, repeatability, equipment utilization, data flow, and production support. RESPONSIBILITIES Characterization Process Improvement - Analyze characterization workflows from sample receipt through preparation, measurement, review, reporting, and release - Identify bottlenecks, queue times, rework loops, and process gaps that limit characterization throughput - Develop and implement improvements to reduce cycle time, improve consistency, and support production schedules - Establish standard work, process maps, visual management tools, and workflow controls for characterization activities - Support transition of characterization methods from development workflows into repeatable production support processes Manufacturing & Production Support -

Data Center Infrastructure Mechanical Engineer San Francisco, California, United States About the Team OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners. As a Data Center Infrastructure Mechanical Engineer, you will help design, validate, and scale the cooling and mechanical systems that make high-density AI compute possible. You will work across thermal architecture, equipment development, manufacturing validation, construction, commissioning, deployment, and operations, partnering with research, hardware engineering, data center engineering, supply chain, EHS, operations, and external delivery partners. About The Role We are seeking a senior mechanical infrastructure engineer to lead the development of reliable, efficient, safe, and scalable thermal architectures for high-density, liquid-cooled AI data centers. This role is ideal for someone who can translate evolving compute and rack-level thermal requirements into practical infrastructure designs, evaluate complex equipment and vendor solutions, and drive technical decisions across facilities, hardware, controls, telemetry, testing, commissioning, and operations. The ideal candidate has deep hands-on experience with mission-critical mechanical systems at data center or comparable critical infrastructure scale, including chilled water plants, condenser water systems, cooling towers, dry coolers, pumps, heat exchangers, CDUs, manifolds, CRAHs, air handlers, filtration, water treatment, controls, liquid distribution, and high-density rack cooling interfaces. Key Responsibilities - Define mechanical and cooling infrastructure requirements and reference architectures for AI data center campuses, including heat rejection, chilled water, condenser water, liquid