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About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. Our Industrial Compute organization develops and deploys large-scale AI campuses designed to support the next generation of frontier model training and inference workloads. The Hardware Operations team is responsible for ensuring the reliability, availability, and lifecycle health of OpenAI’s compute infrastructure. We partner closely with Data Center Operations, Fleet Health Engineering, Manufacturing, Network Infrastructure, Capacity Planning, and our infrastructure partners to maintain world-class operational performance across rapidly expanding AI environments. As we scale globally, we are building the operational frameworks, reliability standards, and sustaining engineering practices required to support thousands of GPUs and servers across multiple campuses. About the Role We are seeking a Datacenter Hardware Technician Lead to serve as the senior on-site technical authority for hardware reliability and fleet health at one of OpenAI’s flagship AI campuses. This role operates at the intersection of hardware operations, sustaining engineering, and fleet reliability. You will partner closely with Cloud Service Provider operations teams, OpenAI fleet-health engineers, hardware engineering teams, and OEM vendors to identify, diagnose, and resolve hardware issues affecting production systems. Beyond day-to-day operational support, you will drive root cause investigations, reliability improvement initiatives, lifecycle management programs, and operational readiness efforts. You will help establish hardware maintenance standards, operational procedures, and best practices that scale across future OpenAI infrastructure deployments. The ideal candidate combines deep hands-on datacenter hardware expertise with strong troubleshooting, failure analysis, and cross-functional leadership skills. Candidates must be able to sit onsite at our

About the Team OpenAI, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads. The Industrial Compute team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance. We work closely with manufacturing partners, engineering teams, and operations staff to ensure that every component is delivered ready for installation, startup, and long-term service. About the Role We are seeking an experienced Quality Engineer (QE) to drive Product and Site Quality initiatives across OpenAI’s infrastructure ecosystem. In this role, you will establish, implement, and manage a comprehensive, quality-focused program across our global supply chain network, ensuring excellence from design through deployment. You will be responsible for end-to-end quality of finished products, as well as maintaining and elevating manufacturing site quality standards. Working cross-functionally with Design (NPI) and Engineering teams, you will help achieve First Pass Yield (FPY), quality, and reliability targets. This includes leading site and fixture validation efforts, driving yield improvement initiatives (Yield Bridge, CPI), and implementing robust corrective and preventive actions (CAPA) to resolve issues at their root cause. In addition, you will play a key role in supplier quality management, assessing and qualifying new vendors, overseeing ongoing supplier performance, and ensuring readiness for future business awards. You will lead vendor audits, monitor key performance metrics, and coordinate corrective actions to ensure predictable delivery schedules, reduced operational risk, and high system reliability. By partnering closely with external suppliers and internal Engineering and Operations stakeholders, you will help ensure OpenAI’s datacenter infrastructure is delivered on time, meets the highest quality standa

About the Team: OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. Our Stargate program develops and deploys massive, state-of-the-art data center campuses in partnership with industry leaders today—and through future OpenAI infrastructure projects tomorrow. We design for scale, speed, and reliability, and we need experienced technicians who can translate network blueprints into physical reality. About the Role: We are seeking a Senior Data Center Networking Technician who thrives in fast-moving build environments and is eager to roll up their sleeves during active datacenter deployments. Your first assignment will focus on the physical bring-up of network infrastructure at a large partner-operated campus, collaborating with partner teams and their delivery vendors to achieve agreed performance and reliability targets. As that campus reaches steady state, you will transition to lead network deployment for future OpenAI data center projects, defining standards and guiding implementation across multiple locations. Candidates must be able to sit onsite in Abilene, Texas 5 days per week Key Responsibilities Serve as OpenAI’s technical lead technician during the current campus build, partnering with internal engineers and external contractors on design reviews, installation plans, and acceptance criteria. Spend significant time on the data-center floor performing inspections, assisting with cable routing/termination when needed, conducting fiber testing (OTDR, power levels, continuity), and resolving installation challenges in real time. Troubleshoot and optimize cabling routes, patching, and equipment turn-up to ensure clean, reliable handoff to network operations. Contribute to design discussions and peer reviews for structured cabling and physical network layouts, providing practical field feedback to engineering teams. Develop repeatable engineering standards, as-built do

About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI compute infrastructure ecosystem. The InfraDev team is central to this mission, setting the strategy and executing the roadmap to scale our supercomputing footprint globally. From site planning to system integration, this team operates at the intersection of commercial, technical, and operational excellence, partnering with leaders across OpenAI and the industry. About the Role We are seeking a Strategic Sourcing Manager who is ready to take on global-scale challenges in AI compute supply and manufacturing — an opportunity to shape the future of supercomputing. As part of the Infrastructure Strategy & Delivery organization supporting Industrial Compute, OpenAI’s next-generation supercomputing platform, you will lead sourcing and strategic supplier engagements for compute infrastructure at hyperscale. This role will drive commercial strategy and supplier accountability across server platforms, accelerators, rack systems, and associated thermal & power delivery components. This is not traditional procurement — it is foundational work enabling OpenAI to deploy compute faster and more efficiently than anyone in the world, while building deeply-integrated partnerships with the global compute supply chain. Key Responsibilities Develop and execute sourcing strategies for the next generation of AI compute infrastructure in partnership with engineering and program leadership. Stay at the leading edge of industry and supply-chain trends to inform category strategy and long-range planning. Initiate, negotiate, and manage commercial agreements across OEM/ODM/JDMs for accelerators, GPUs/CPUs, server platforms, rack systems, liquid-cooling components, PSUs, and supporting mechanical/electrical subsystems. Secure capacity and optionality across a rapidly scaling compute supply chain while mitigating risk and ensuring manufacturing readiness. Partner cross-funct

About the Team The Scaling team is responsible for the architectural and engineering backbone of OpenAI’s infrastructure. We design and deliver advanced systems that support the deployment and operation of cutting-edge AI models. Our work spans system software, networking, platform architecture, fleet-level monitoring, and performance optimization. About the Role We’re hiring an SW Engineer to enable production workloads and end-to-end testing on new platforms. This role will include creating new test harnesses and platform stress benchmarks, porting existing inference and training workloads to new, sometimes early-access, systems/hardware, analyzing performance and bottlenecks, and characterizing the end-to-end behavior of new systems (compute, comms, storage, control plane, and failure modes). Key Responsibilities Port and validate key inference and training workloads on new platforms/SKUs as they arrive; drive correctness, performance, and stability to an internal readiness bar. Build a suite of benchmarks and stress tests that capture real E2E behavior of our workloads by exercising all aspects of a system, including CPU, GPU, memory subsystem, frontend, scale-up, and scale-out networking (including WAN traffic, NVlink and RDMA collectives), storage, thermals, and any other relevant parts. Deep-dive performance on distributed training/inference: Collective performance and tuning (across NCCL/RCCL and internal libraries) Overlap of compute/communication, kernel-level bottlenecks, memory bandwidth and scheduling effects Create repeatable test harnesses that run in CI / lab environments and produce actionable outputs (pass/fail, performance score, regression detection). Partner with systems + fleet bring-up engineers to ensure the platform is not only stable and performant, but also operationally usable and scalable (containerization, K8s integration, telemetry hooks, failure triage loops). Work cross-functionally with vendors and internal stakeholders by producing

About the Team The Stargate team is responsible for building the physical infrastructure that powers large-scale AI systems. We design and deliver next-generation data centers optimized for dense compute clusters, advanced networking, and rapidly evolving hardware platforms. This work sits at the intersection of hardware engineering, systems architecture, and infrastructure execution—translating cutting-edge compute roadmaps into scalable, production-ready environments. Our teams partner across silicon vendors, server and storage OEMs, networking teams, and data center engineering organizations to bring new capacity online quickly, reliably, and at global scale. About the Role We are seeking a CPU & Storage Technical Lead to define and drive the server compute and storage architecture strategy for Stargate infrastructure. In this role, you will own technical direction across CPU platforms, memory configurations, local and disaggregated storage systems, and their integration into large-scale AI clusters. You will evaluate vendor roadmaps, lead platform tradeoff decisions, and ensure compute and storage systems are optimized for training, inference, and supporting services. You will work cross-functionally with hardware engineering, performance modeling, networking, supply chain, and deployment teams, as well as external partners such as AMD, Intel, OEMs, ODMs, and storage vendors. This is a highly strategic role for someone who can operate deeply at the component level while also driving long-range infrastructure decisions. Key Responsibilities Own CPU and storage technical strategy for Stargate compute infrastructure across current and future generations. Evaluate CPU platforms across performance, efficiency, memory bandwidth, PCIe topology, cost, and roadmap alignment. Define storage architectures for AI environments, including boot media, local NVMe, shared storage, caching tiers, metadata services, and high-performance data pipelines. Drive server platform de

The Performance Research Engineer will play a critical role in advancing TaylorMade's leadership in golf equipment performance. This role bridges physical testing, player testing, Tour-level data collection, and advanced analytics to deliver actionable insights that influence product design, product validation, and performance optimization. The ideal candidate is a hands-on engineer with strong mechanical aptitude, advanced data skills, deep golf intuition, and the ability to translate player feedback into clear engineering direction. Essential Functions and Key Responsibilities: Lead the design and execution of advanced performance testing protocols for golf clubs and balls, including lab, player, field, and Tour-based testing environments. Serve as a category-focused Performance Engineering owner for one or more product areas, with potential emphasis across Woods, Irons, Putter/Wedge, or cross-category initiatives. Support PGA/LPGA Tour and elite-athlete testing by collecting clean, repeatable, decision-ready data while operating professionally and respectfully in player-facing environments. Analyze large datasets from lab, player, and field testing to extract insights on ball speed, launch, spin, consistency, delivery, impact location, dispersion, and performance tradeoffs. Translate Tour and player-test observations into clear engineering recommendations, product questions, validation plans, and follow-up experiments. Develop and maintain automated data pipelines, dashboards, and reporting tools for performance tracking, project communication, and cross-functional decision-making. Collaborate with R&D, Product Development, Tour, Fitting, Consumer Insights, and Analytics teams to integrate player feedback and real-world data into product design.

The Associate Program Manager Retention (Digital Commerce) will be the primary executor of email, text message and push notification campaigns spanning on-boarding, growth, and retention for our digital commerce initiatives. This role is responsible for the day-to-day creation of adhoc and planned campaigns supporting product launches, promotions, and retargeting efforts. This role requires a creative thinker and collaborative work with internal teams including brand marketing, ecommerce, design, copy writing, legal and advanced analytics. The ideal candidate is organized, has strong attention to detail, and has a passion for retention marketing. Essential Functions and Key Responsibilities: Serve as the primary executor of day-to-day ad hoc email, text message and push notification campaigns for product launches, promotions, and retargeting. Responsible for template setup, segmentation, QA, and deployment while adhering to brand style guide and channel best practices. Assist in building and maintaining the monthly retention marketing campaign calendar, ensuring alignment across email, SMS and push channels. Partner with the ecommerce planning team to understand product and promotional forecasts, using those insights to adjust the campaign calendar and prioritize messaging focus accordingly. Contribute to email, text messaging and push marketing strategies that convey overall marketing messages clearly and in the proper tone to customers and prospective customers. Wireframe campaigns and design templates. Liaise with internal teams to provide detailed direction for design and copywriting handoff. Develop and execute subscriber onboarding strategies across email, text message and push channels to drive engagement and long-term retention among new subscribers. Partner with analytics team to establish and maintain KPI dashboards and reporting frameworks to track channel performance

Where Performance Meets Purpose Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose. What You Will be Doing Join the Titleist team as a Summer Golf Ball Fitting Intern and play a key role in delivering the #1 Ball in Golf to players across the U.S. In this dynamic, hands-on role, you’ll travel to key markets, engaging with golfers and retail partners to provide an exceptional Titleist experience. Throughout the internship, you’ll educate and fit players using advanced tools like the Titleist Golf Ball Fitting App and Trackman, support and train golf shop staff with product knowledge and merchandising and collaborate closely with local Sales Reps and Regional Fitters. If you’re passionate about golf, thrive in a fast-paced environment, and are ready to hit the road with your own vehicle, this is your opportunity to make a lasting impact on the game. What You Will Bring: Must be enrolled full time in a 2 or 4 year university program or entering a Master’s degree program Knowledge of the game of golf is strongly preferred Must be located and have housing in one of the following cities: Atlanta, Albuquerque, Austin, Baltimore, Boise, Birmingham, Boston, Buffalo, Charlotte, Chicago, Cleveland, Columbus, Dallas, Denver, Detroit, Hartford, Houston, Indianapolis/Cincinnati, Jacksonville, Orlando, Kansas City, Long Island, Los Angeles, Louisville, Memphis, Met NY, Milwaukee, Minneapolis, Nashville, New Hampshire, New Jersey, Oklahoma City, Omaha/ DeMoines, Philadelphia, Pittsburgh, Portland, Pro

Where Performance Meets Purpose Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose. What You Will Be Doing: Titleist is seeking a passionate and driven Associate Research Engineer to help shape the future of golf club performance through innovation, engineering, and data-driven design. In this role, you will apply engineering principles, scientific methods, and advanced computational tools to explore emerging technologies, analyze golf club designs and biomechanical swing dynamics, and validate concepts that contribute to next-generation Titleist products. Working alongside world-class researchers, engineers, and product designers, you will leverage modeling, simulation, and testing techniques to solve complex design challenges and uncover new opportunities for performance advancement. You'll collaborate across Research, Design, Product Development, Testing, Manufacturing, Sales, and Marketing to evaluate concepts, support product innovation, and translate technical findings into meaningful product improvements. This is a unique opportunity to deepen your expertise in golf club research and development, contribute to patentable technologies, and play a direct role in creating the high-performance products trusted by golfers around the world. What You Bring: Bachelor’s degree in Mechanical Engineering, Engineering, Computer Science, or a related field required. Strong foundation in engineering analysis, problem-solving, and product development. Experience with MATLAB and/or Python required. Exposure

Where Performance Meets Purpose Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose. What You Will Be Doing Help shape the future of golf innovation as a CAD/CAM Programmer and Prototype Engineer . In this highly hands-on role, you will partner closely with R&D and engineering teams to transform new product concepts into functional prototypes that support next-generation golf equipment development. Using CAD/CAM software and advanced CNC machining technologies, you will design, program, machine, and refine prototype club heads, components, and precision fixtures. You will play a key role in bringing ideas from concept to physical reality by developing machining strategies, optimizing designs for manufacturability, and solving complex manufacturing challenges throughout the product development process. This role combines CAD/CAM programming, prototype machining, fabrication, and product development collaboration. Successful candidates enjoy working both at the computer and on the shop floor, building and improving prototypes while contributing to innovative product solutions. What You Bring Bachelor's degree in Mechanical Engineering or a related field, or equivalent professional experience in CAD/CAM programming, CNC machining, and prototype development. 3&#43; years of CAD/CAM programming experience, preferably with Siemens NX, Mastercam, Fusion 360, or similar CAD/CAM platforms. Experience with other advanced CAM systems will also be considered. <

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Job Description Serves as a Technical Digital Product Implementation Manager for Aetna Health Customizations supporting plan sponsors and Book of Business products. Candidate will lead and oversee the deployment and integration of advanced digital technologies, including SSO, API, and content management systems. Role requires autonomously driving successful implementation while managing multiple deliveries and collaborating with several business partners. This position requires strong communication, project management, and technical skills combined with healthcare industry knowledge to implement digital enhancements that improve the member experience, create operational efficiency, and ensure compliance with industry regulations. Key Responsibilities: Independently lead the end-to-end implementation of digital technology solutions, including SSO and API integrations, in conjunction with internal and external partners. Own all portions of project delivery, including; requirement gathering, project documentation, facilitation and collaboration efforts with all impacted parties, testing, release, and support. Collaborate with business stakeholders to understand their needs, define project scope, and ensure alignment with organizational goals. Communicate project progress, risks, and/or blockers, to progress project and show transparency in approac

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Job Description The Digital Product Implementation Manager supports Aetna Health customizations and leads the definition, deployment and integration of advanced digital capabilities across Aetna’s customers. This role independently drives successful implementations while managing multiple deliveries, collaborating with a range of business partners, and working directly with customers throughout the implementation process. You will sit at the intersection of the Technology team, the Business, and the Customer to ensure we are building best-in-class digital experiences for our members and clients. As an enthusiastic, self-led professional, you will leverage your passion for doing what’s right for our members to deliver the right solutions to meet business and market needs. You have superior program management and communication skills, strong attention to detail and are able to manage multiple priorities at once. You thrive on collaboration and working across teams. You are a self-starter who can expertly navigate complex organizations. You have a digital-first, data-driven mindset. You are quick to adapt to business and customer needs to deliver digital enhancements that improve the member experience, create operational efficiency, and ensure compliance with industry regulations. Key Responsibilities Independently lead the end-to-end customer implementation

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary We are seeking a Software Development Engineer In Test, to apply advanced software engineering skills to improve quality across the development lifecycle through scalable test frameworks, developer tooling, and reusable automation solutions. This is a senior individual contributor role for a developer who specializes in testing, testability, and quality engineering. This role combines hands-on engineering with technical leadership across teams. The individual will influence architecture, strengthen automation strategy, improve developer feedback loops, and help establish consistent quality engineering practices that scale across products and platforms. The role carries strong Software Development Engineer in Test expectations, with an emphasis on building engineering solutions that improve product quality, platform reliability, and development velocity. Primary Responsibilities Design, develop, and evolve scalable test frameworks, automation libraries, and developer-facing quality tools Understand how the broader software ecosystem works together and define quality engineering approaches that align to platform strategy Partner with Product, Architecture, and Engineering teams to define test strategy, coverage goals, and acceptance criteria Build reusable utilities, harnesses, mocks, stubs, and data solutions that improve system

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. At Micron Technology, we transform how the world uses information to enrich life for all. The Heterogeneous Integration Group (HIG) HBM Architecture team develops next-generation High-Bandwidth Memory (HBM) solutions that power AI, high-performance computing, cloud infrastructure, and advanced networking systems. The team works across architecture, design, verification, packaging, product engineering, and technology development to evaluate innovative memory architectures and deliver scalable, high-performance semiconductor solutions. As an HBM Design Architect, New College Graduate, you will contribute to the evaluation and development of future HBM and DRAM architectures. Working with experienced architects and engineering teams, you will analyze system and block-level design tradeoffs related to performance, power, area, thermal behavior, reliability, and manufacturability. This role provides an opportunity to leverage AI, Large Language Models (LLMs), and data-driven engineering methodologies to accelerate architecture exploration and improve decision-making. Responsibilities Analyze HBM and DRAM architectures using analytic