Group Manager in United States

Job Details: Job Description: Intel Corporation is the world's largest semiconductor company and a global leader in computing innovation. Our Quantum Computing Group represents Intel's bold venture into the next frontier of computing technology, leveraging our decades of semiconductor manufacturing expertise to develop silicon-based quantum processors. We're pioneering spin qubit technology in silicon quantum dots, combining cutting-edge quantum physics with Intel's unmatched manufacturing capabilities to create the world's first commercially viable quantum computers. Our collaborative approach spans Intel's research divisions and partnerships with leading academic institutions worldwide. We are seeking an exceptional Quantum Packaging Signal/Power Integrity (SI/PI) Engineer to join our pioneering quantum computing team in Oregon. In this role you will be responsible for modeling and simulation of various packaging solutions from silicon redistribution layers to IC substrates within a multidisciplinary team. You'll play a crucial role in advancing Intel's silicon quantum dot technology while contributing to the development of scalable quantum systems that will revolutionize computing. Key Responsibilities - Modeling and simulation of packaging hardware including redistribution layers (e.g., interposers, RDLs), IC substrates, and silicon testchip routing - Work closely with stakeholders to meet design requirements - requirements come from both theory and hardware teams. In some pathfinding projects, you will be asked to participate in creating requirements and novel packaging hardware. - System-level modelling and simulation; end-to-end simulations to ensure designs meet system-level requirements - Deliver and disseminate design milestones to stakeholders - Communicate designs in pr

Build the infrastructure that keeps every NVIDIA chip aligned from first spec to final shipment. NVIDIA's Silicon Co-Design Group sits at the convergence of architecture, silicon, systems, and manufacturing. The System–Manufacturing Architecture (SMAC) team coordinates between system specifications and manufacturing test specifications from pre-silicon POR through production release across GPU, SoC, and CPU programs. When that alignment drifts, silicon faces the consequences: escapes, yield loss, and performance loss. We're hiring a Senior Manufacturing & System Co-Design Workflow Engineer to lead the methodology and infrastructure that maintains holistic, systematic alignment, at scale across the full portfolio. The strongest candidates in this role design the workflow before being asked to fix a program, and build the checks and automation that confirm alignment holds long after they've moved on to the next problem. What you’ll be doing: SMAC Workflow Methodology: Define manufacturing spec types, including schema and semantics, derived from system PORs and features. Own the methodology that governs how specification work gets structured, versioned, and validated across the program lifecycle. Production Python Pipelines & Automated Checks: Develop production-grade Python pipelines and automated checks that catch specification drift between system POR and manufacturing test programs ,ATE, SLT, BLT, L10+, before silicon exposes the discrepancy. The goal is that misalignments surface in the workflow, not on the tester. E2E Program Integration & TPM Attestation: Wire SMAC work into the end-to-end program spine, milestones, gates, and artifacts, and define explicit TPM-driven attestation when checks lag. Alignment can't be assumed; it must be proven at every stage. Agent-Ready Tooling & CI Infrastructure: Integrate tooling into an agent-ready

Define the physical limits of what a chip can do, then break them! NVIDIA's Silicon Co-Design Group sits at the crossroads of architecture, silicon, systems, and manufacturing, where first principles thinking translates directly into product outcomes at scale. As GPU power density and thermal limits approach physical boundaries, the gap between system architecture needs and manufacturable, testable capabilities widens with every generation, and this role exists to close it. You wouldn't be maintaining existing solutions, you'd be identifying where physical constraints will erode NVIDIA's competitive edge before anyone else sees it coming, then building the cross-domain responses that ensure the next generation leapfrogs those limits entirely. The problems here don't have known answers yet: Every generation of NVIDIA silicon pushes closer to the limits of physics. The Co-Design Architect role isn't about optimizing within known bounds; it's about redrawing those bounds entirely. If you want your work to shape what's physically possible in the world's most demanding computing products, this is where that work happens. What you'll be doing: Power, Thermal & Packaging Limits Analysis: Gather and analyze the hard constraints of packaging, power delivery, and thermal dissipation against roadmap demands, predicting when those constraints will reduce competitiveness and acting before they do. Cross-Domain Solution Development: Develop solutions that span silicon features, packaging innovation, firmware and hardware co-design, and DFX updates, ensuring future products are not only performant but testable to the highest quality and reliability standards. Packaging Technology Evaluation: Assess emerging packaging technologies for their voltage/frequency, noise, reliability, and testability implications, determining which are worth adopting an

Job Details: Job Description: About the Role Join Intel's Client Computing and Physical AI Group and help enable the next generation of mobile and desktop client platforms. We are seeking a Senior Customer Solutions Engineer to serve as a key technical leader responsible for customer platform enablement, architecture collaboration, and execution across Intel's client platform ecosystem. In this role, you will work closely with OEM customers, engineering teams, and program stakeholders to drive the successful delivery of innovative platform technologies. You will play a critical role in platform planning, issue resolution, customer engagement, and cross-functional execution from product definition through product launch and production. What You’ll Do Key responsibilities will include but not limited to: Serve as the primary technical interface between customers and Intel engineering teams, driving platform enablement and customer success. Lead cross-functional execution across platform technologies including hardware, firmware, graphics, connectivity, and I/O technologies. Drive resolution of critical platform issues, customer escalations, and technical challenges throughout the product lifecycle. Represent customer readiness, platform health, and execution status in program reviews and leadership forums. Develop technical assessments, customer enablement plans, and supporting documentation to accelerate design wins and product launches. Drive technical program execution across customer and engineering teams by aligning milestones, dependencies, risks, priorities, and deliverables. Behavioral traits that we are looking for: Strong customer focus and the ability to build trusted partners

Job Details: Job Description: Intel Corporation is the world's largest semiconductor company and a global leader in computing innovation. Our Quantum Computing Group represents Intel's bold venture into the next frontier of computing technology, leveraging our decades of semiconductor manufacturing expertise to develop silicon-based quantum processors. We're pioneering spin qubit technology in silicon quantum dots, combining cutting-edge quantum physics with Intel's unmatched manufacturing capabilities to create the world's first commercially viable quantum computers. Our collaborative approach spans the entire quantum compute stack while harnessing the power of Intel's 18A process and design infrastructure. We are seeking an exceptional Quantum Design Engineer to join our pioneering quantum computing team. In this position, you will be joining a team of incredibly talented engineers focused on the challenging task of scaling our quantum computing chips to millions of qubits. Here you will be involved in all aspects of the qubit chip process from initial conception through Process-Design-Kit definition, design execution and tapeout, along with ensuring silicon runs smoothly in fab and final system integration. You'll work closely not only with our qubit, control, system integration, and software/algorithms teams, but also with teams in Foundry lithography, process and design. You'll be working at the intersection of cutting-edge semiconductor technology and quantum physics, creating solutions that push the boundaries of what's possible in computing. Ready to help build the future of quantum computing? Apply now and be part of this extraordinary journey Key Responsibilities • Work alongside lithography, process integration, measurement, and PDK engineers to establish qubit processes and design rules • Architect qubit and readout element standard cell design and autom

Job Details: Job Description: This position is part of Intel Datacenter Group's Office of Strategic Intelligence and Analysis, which focuses on delivering high-quality insights and business intelligence solutions to support the company's strategic goals. The team works across functional areas, leveraging analytics and business intelligence to drive impactful decision-making and operational efficiency. Join a group that values collaboration, customer-centricity, and cutting-edge data approaches to shape Intel's success in a rapidly evolving market. Position Overview As a Business Intelligence Analyst, you will play a pivotal role in transforming complex business data into actionable insights that drive decision-making in product roadmap decisions and improve business practices. You will collaborate with diverse stakeholders to translate market trends into actionable business strategy, craft compelling data stories, and deliver strategic recommendations that influence senior leadership product decisions. Your expertise in data analysis and visualization will empower the organization to navigate dynamic industry landscapes and achieve meaningful business impact. Key Responsibilities • Gather, clean, and analyze business data from various sources to identify patterns and actionable insights in support of business product decisionmakers. • Translate complex datasets into compelling narratives and visualizations, including interactive dashboards, to enhance data storytelling. • Pro

NVIDIA is now looking for a Senior Memory System Engineer to join our ASIC Memory Subsystem team! As a Senior Systems Engineer at NVIDIA, you'll join a group of hardworking engineers to develop and architect innovative Memory Solution for Tegra SoCs. In this position, you'll make a real impact in a multifaceted, technology-focused company. You will work with memory controller/PHY and Platform / System architect, Firmware, SI/PI, Memory suppliers to design and architect cutting edge, high speed and lower power memory technology for NVIDIA CPUs and SOCs. What You Will Be Doing: Analyze future DDR/LPDDR/HBM technologies to determine optimum performance, power, function and RAS in memory for Next generation SOC and Systems. Collaborate with ASIC Architects, Designers, Software and Firmware SW/FW teams to drive memory technology and associated requirements for memory controllers. Define Memory module, Package, and PCB layouts appropriate to the system workloads Debug and bring up memory evaluation / validation and failure issues on memory technology. Collaborate with DRAM suppliers and industry partners on to develop memory and memory related component technology. What We need to see: Bachelor's degree or master’s degree in Electrical Engineering, Computer Engineering (CE), or a related field (or equivalent experience) 10 years of proven track record in DRAM design, module design, or memory sub system design. Deep understanding and strong fundamental of memory design, features, ECC algorithm, SI and PI (Training algorithm) in DDR, LPDDR, and HBM. Strong understanding of memory sub system level interaction with Cache, Memory controller and PHY. Experience in the design, bring-up and validation for memory failure analysis Experience with Python, C/C

Senior Software Engineer - Streaming Platform Client Data streams are mission-critical at Datadog, powering near real-time communication across the vast majority of our services. Our Streaming Platform group builds the core infrastructure and abstractions that ensure Datadog remains a trusted partner for engineers worldwide. See our blog post . The Streaming Platform Client team sits at the heart of this ecosystem. We own the Rust client library (producers and consumers) with language bindings for Java, Go, and Python. We focus on building intuitive APIs and abstractions that make a powerful distributed system easy to adopt and operate for the hundreds of internal users of our library. Our library runs on critical data paths that handle hundreds of millions of messages per second making performance, observability, and reliability paramount. We also develop and operate the service that bridges the clients fleet with the platform's control plane, handling complex balancing, scaling, and static stability challenges. We are seeking a Senior Software Engineer to help us evolve these features. You will collaborate directly with our users, tackle performance-critical code, and solve complex distributed systems challenges across the control plane, client libraries, and data plane. 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: Work within a distributed, high-impact team spanning Europe and the US, building critical technologies that power data pipelines for dozens of internal teams and hundreds of services. Architect and implement resilient interactions between our client libraries and the control plane. Optimize our high-throughput, low-level streaming library to push the boundaries of performance and efficiency. Champion the developer experience by providing

Senior Software Engineer - Streaming Platform Client Data streams are mission-critical at Datadog, powering near real-time communication across the vast majority of our services. Our Streaming Platform group builds the core infrastructure and abstractions that ensure Datadog remains a trusted partner for engineers worldwide. See our blog post . The Streaming Platform Client team sits at the heart of this ecosystem. We own the Rust client library (producers and consumers) with language bindings for Java, Go, and Python. We focus on building intuitive APIs and abstractions that make a powerful distributed system easy to adopt and operate for the hundreds of internal users of our library. Our library runs on critical data paths that handle hundreds of millions of messages per second making performance, observability, and reliability paramount. We also develop and operate the service that bridges the clients fleet with the platform's control plane, handling complex balancing, scaling, and static stability challenges. We are seeking a Senior Software Engineer to help us evolve these features. You will collaborate directly with our users, tackle performance-critical code, and solve complex distributed systems challenges across the control plane, client libraries, and data plane. 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: Work within a distributed, high-impact team spanning Europe and the US, building critical technologies that power data pipelines for dozens of internal teams and hundreds of services. Architect and implement resilient interactions between our client libraries and the control plane. Optimize our high-throughput, low-level streaming library to push the boundaries of performance and efficiency. Champion the developer experience by pro

About the Team With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks. The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. Codex Enterprise builds the ecosystem, governance, and enterprise capabilities that help Codex spread across developers, teams, and organizations worldwide. The User Activation team owns the product experiences that help developers discover Codex, understand its capabilities, connect it to their workflows, and turn initial usage into sustained adoption across teams. About the Role As Codex adoption grows, our challenge is no longer just building powerful AI capabilities. It is helping developers and teams quickly understand how Codex fits into their work, connect it to the tools and codebases they already use, and unlock workflows that make Codex feel like a true teammate. This role will help build the full-stack product surfaces that drive activation and adoption across Codex Enterprise. You will work across onboarding, workspace setup, integrations, discovery, collaboration, usage insights, and ecosystem capabilities that help Codex spread naturally through organizations. You will partner closely with product, design, research, infrastructure, GTM, and customers to identify where users get stuck, where teams fail to adopt Codex, and what product experiences can turn curiosity int

About the Team With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks. The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. Codex Enterprise builds the ecosystem building blocks, discovery surfaces, and enterprise capabilities that help Codex spread across developers, teams, and organizations worldwide. It is a cross-cutting team that works across the stack to build both delightful product experiences and fundamental platform capabilities. Its customers range from individual developers and small teams to large enterprises, and our mission is critical to achieving the vision of Codex as a proactive teammate. About the Role As we grow, we’re focused on turning Codex from a powerful individual tool into a production-grade teammate for entire organizations. You will work across internal OpenAI teams and external customers, from fast-moving startups to large enterprises, to make it possible to deploy, operate, and trust Codex in increasingly demanding real-world environments. As Codex’s consumer adoption accelerates, enterprise demand is growing just as quickly, and there is also increasing opportunity to expand Codex through ecosystem capabilities that unlock new workflows, integrations, and discovery. This team helps turn messy, real-world team requirements into robust, repeatable, and scalable product and

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 Purpose and Summary: Join a mission-driven organization at a transformative moment in employer-sponsored health care. As Executive Medical Director, Clinical Business Solutions at Aetna, a CVS Health company, you will lead the clinical team that serves as the clinical voice to our Commercial plan sponsors, prospects, and their advisors, demonstrating how Aetna’s clinical capabilities reduce cost, improve population health, and strengthen the member and provider experience. Reporting directly to the Vice President, Chief Medical Officer, Commercial & Innovation, you will direct a national team of clinicians (MD, RN, NP) providing clinical support to Aetna’s National Accounts, Large Group, and Public & Labor businesses, in close partnership with Field and Account teams. You will lead and continuously improve the operations of the team to raise the level and quality of clinical support delivered to the Field, while sharing directly in its external work — including personally cultivating and holding relationships with key brokers, consultants, and plan sponsors. The role is deliberately bidirectional. You will bring the voice of the customer and the producer community back into the organization, partnering with Clinical Operations, Medical Affairs, Commercial Product, and others to ensure our clinical offerings reflect what the market requires. <p

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

ROLE SUMMARY The Clinician Medical Monitor is accountable for providing medical and scientific expertise and oversight for Clinical Trials and serves as a single point of accountability for design, execution, monitoring, delivery and reporting of one or more clinical studies and to ensure patient safety. The clinician medical monitor may be required to design a development strategy for multiple protocols designed to obtain worldwide approval for a compound or group of compounds. In addition to study level activities, the clinician medical monitor may participate in standing committees, review compounds for potential in-licensing, including performance of due diligence reviews, and aid new business development on market opportunities and the target product profile. ROLE RESPONSIBILITIES Accountable for safety across the study Provide study team with medical advice for all medical issues during risk assessment and mitigation planning to enable quality, compliance and patient safety at the trial, site and patient level. Ensures development of and adherence to the Safety Surveillance Review Plan (SSRP). Consistent with the SSRP, performs and documents regular review of individual subject safety data, and performs review of cumulative safety data with the safety risk lead. As appropriate, the clinician medical monitor may delegate these responsibilities to the study clinician scientist identified in the SSRP. The specific components of safety data review are detailed in the appropriate SOPs and the “Safety Data Review Guide – for Clinicians.” Monitor study safety issues and provide input to serious adverse events (SAEs) reports. Provides appropriate medical context in terms of risk factors, medical history and other important medical factors required to put the SAE or AE into appropriate medical context required for benefit-risk assessm

Use Your Power for Purpose At Pfizer, our purpose is to deliver breakthroughs that change patients’ lives. In this role, you will contribute to the discovery and advancement of innovative medicines for patients worldwide by applying rigorous science, modern pharmacology, and cutting-edge technologies. Your work will help transform promising therapeutic ideas into high-quality experimental data that enable confident decisions across the drug discovery process. What You Will Achieve A key strategic focus within the Internal Medicine Research Unit (IMRU) is the discovery of novel therapies for obesity, cardiovascular disease, and related cardiometabolic conditions. As an Associate Scientist in the In Vitro Pharmacology group, you will contribute to early drug discovery programs by generating rigorous, reproducible pharmacology data that support target validation, assay development, compound profiling, and mechanism-of-action studies. This role is well suited for a collaborative, hands-on scientist with experience in cell-based assay execution, mammalian cell culture, quantitative data analysis, and an interest in receptor pharmacology within cardiometabolic drug discovery. How You Will Achieve It Develop, optimize, and execute cell-based signaling, ligand-binding, and other in vitro pharmacology assays to generate high-quality data that support project decisions. Support compound profiling and mechanism-of-action studies through careful experimental design, troubleshooting, and quantitative data analysis. Maintain mammalian cell cultures and prepare fit-for-purpose cellular or membrane-based assay reagents to support screening, binding, and functional assay workflows. Apply core pharmacology concepts, including ligand potency, efficacy and affinity to interpret experimental results. Work collaboratively with pharmacology colleagues and cross-functional pr