Data Center Controls Network Engineer in United States

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

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for an experienced System Level Test Engineer to join our Product Test and Diagnosis Department (PTD). In this role, you will lead the development and deployment of System Level Test (SLT) solutions for next-generation AI processors. Working closely with cross-functional teams, you will contribute to the design and implementation of SLT hardware, software, automation, and characterization solutions that support silicon bring-up, yield learning, manufacturing readiness, and production deployment. The ideal candidate will possess strong technical depth in semiconductor test and validation, a passion for solving complex engineering challenges, and a strong focus on product quality and manufacturability. The Team The Product Test and Diagnostics team’s role is to detect and manage hardware defects that arise from the manufacture and use of our products. This covers chips, boards and finished systems and takes place both in the manufacturing sites and in the field. Responsibilities and Duties Lead development and deployment of SLT hardware and software solutions supporting silicon bring-up, charac

Manufacturing Test Engineering Manager Position Summary We are seeking an experienced Manufacturing Test Engineering Manager to lead the development and execution of the end-to-end manufacturing test strategy for next-generation AI server platforms and datacenter infrastructure. This role is responsible for defining and driving the manufacturing test architecture from L6 board assembly through L11 rack-level integration and final system validation , ensuring world-class product quality, manufacturability, and production scalability. This leader will manage a team of 3–5 Manufacturing Test Engineers while partnering closely with Hardware, Firmware, Platform, Validation, Quality, Operations, and Joint Design Manufacturing (JDM) partners. The role owns the manufacturing test strategy, test coverage, factory test infrastructure, manufacturing capacity planning, and continuous improvement of manufacturing quality. Key Responsibilities Manufacturing Test Strategy Define and own the end-to-end manufacturing test strategy from L6 board assembly through L11 rack integration . Develop standardized manufacturing test methodologies that optimize quality, throughput, cost of test, and scalability across multiple products and JDM sites. Establish manufacturing test standards, best practices, and engineering processes that support high-volume server manufacturing. Technical Leadership & People Management Lead, mentor, and develop a team of 3–5 Manufacturing Test Engineers supporting multiple hardware programs. Establish team priorities, allocate resources, and ensure successful execution of manufacturing test deliverables. Foster a culture of technical excellence, accountability, collaboration, and continuous improvement. Serve as the primary technical escalation point for manufacturing test and production issues. Cross-Functional Engineering Collaboration Partner with Hardware, Platform, Firmware, Validation, Reliability, Quality, and Operations teams to ensure manufac

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for an experienced Silicon Test Engineer to join our Product Test and Diagnosis Department (PTD). This is a pivotal role and will involve building a team of engineers to develop System Level Test (SLT) capability within the company. Working closely with a cross-functional team you will implement SLT tests for a family of next generation AI Processors. The ideal candidate should have a focus on quality and demonstrate a good understanding of the importance of production test on the success of a product. T hey will have a proven Functional Test or ATE Test Engineering background, and will have a pragmatic, hands-on and flexible approach to a fast-changing environment. The Team The Product Test and Diagnostics team’s role is to detect and manage hardware defects that arise from the manufacture and use of our products. This covers chips, boards and finished systems and takes place both in the manufacturing sites and in the field. Responsibilities and Duties Managing a team of

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

We are developing advanced multi-rack, multi-tenant AI/ML datacenters with NVIDIA GB200, and upcoming GB300 GPUs. NVIDIA seeks a Senior Software Engineer for our CSP (Cloud Service Provider) Engagements team to focus on the cloud-native stack for datacenter products like GB200. In this role, You will define customer workflows, prototype stack enhancements, and debug the toughest Kubernetes + Slurm issues in multi-rack, multi-tenant AI datacenters. You'll tackle complex scheduling challenges across racks, tenants, and clouds as part of the CSP engagements team. What you’ll be doing: Perform deep-dive debugging of multi-rack, multi-tenant clusters: scheduler behavior, container runtime issues, device-plugin crashes, RDMA/IB fabric anomalies, etc. Gather customer requirements and prototype feature extensions for Kubernetes operators, Slurm plugins, and custom micro-services that expose new GPU capabilities. Drive joint architecture reviews and “whiteboard” sessions with CSP and internal platform teams; convert findings into RFCs and upstream pull requests. Create reproducible testbeds (Helm/Ansible/Terraform) that mirror customer environments; automate validation and benchmark suites. Deliver technical collateral-design docs, how-to guides, demo scripts-and present at customer on-sites, KubeCon, and SlurmUG. Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. What we need to see: Strong source-level expertise in Kubernetes internals (scheduler, CRI/CNI/CSI, operators) and Slurm (federation, power-save, plugins). Hands-on experience integrating next-gen GPUs (Blackwell/GB200/GB300) or comparable accelerators into containerized clusters. Proven track record debugging large-scale, cloud-native stacks across ne

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

The Senior RMA Customer Experience Manager will work with the key customer account team leads to ensure customers have timely case updates. The position has to decide on fulfilment priority based on Service Level Agreements and track regional buffer stock. The manager needs to work with account leads to track the impact of open RMAs on customer datacenter capacity, so as to make allocation decisions. What you’ll be doing: Customer Satisfaction: Manage RMA cases and lead all aspects of replacement part fulfillment to clear the open RMA backlog per Service Level Agreements. Work with account teams to prioritize backlog in case of supply constraints. Case Management: Attend customers meeting, provide accurate and up-to-date information on case status, track of customer feedback and develop strategies to improve the overall customer experience. Metrics and Improvement: Generate case management metrics and analyze data to identify process improvement opportunities. Publish weekly status updates on open RMAs – supply commits, ready for pickup, shortage alerts. Collaboration: Work closely with quality and manufacturing teams to effectively communicate RMA updates and statuses to customer account teams. Facilitate seamless information flow between teams to provide exceptional customer support. Uptime and Buffer Stock: Track key customer installations uptime and work with planning team to maintain buffer stock near customer sites to proactively address potential supply shortages. Supply Allocation: Collaborate with production and repair factory planners to map out supply allocations for the open RMA backlog. Optimize resource allocation for timely resolution. Serve as Lead: Trainer and support for other case managers on program, process, customer interface and working internally as new programs develop for NPI and implemented into our global customer service team. What we need to see:

NVIDIA Architecture Modeling group is looking for Architects, Functional Modeling Engineers, and Simulation experts to join various architecture efforts across GPU/ SOC Architecture teams. A key part of NVIDIA's strength is to innovate in parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our SoC and Systems architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip & system architectures and features that advance the state of art in performance and efficiency. What you'll be doing: Modeling and analysis of SoC & Systems algorithms and features, across datacenter, automotive, and client products Build and deliver platforms for SOC's that enable left shift for the SW teams aligned with project milestones Work closely with the SOC architects and guide modeling teams to deliver high-quality functional models that involve SOC+GPU use cases Collaborate with our EDA partners to align on customer-facing technologies Develop tests, test plans, and testing infrastructure for new architectures/features and code coverage analysis and reporting Ensure alignment between the various modeling teams at NVIDIA, GPU modeling teams, and modeling teams overseas What we need to see: Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related relevant field (or equivalent experience) with 5+ years of relevant work experience. Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make) , toolchains (GCC, MSVC) and libraries (STL, BOOST) Computer Architecture background with experience in modelling wit

NVIDIA's Silicon Co-design Group (SCG) sits at a rare intersection: we own the full product development lifecycle, from early architecture definition through silicon bringup to product release. Our ArchDev team is the hub for silicon and system-level feature development, driving tradeoff analysis, system integration, and POR alignment across the entire organization. If you want to see your work go from whiteboard to world-class silicon, this is where that happens. What You'll Be Doing: Architect and integrate system-level performance and power management features, controllers, and policies to optimize product efficiency across datacenter and client products . Build feature roadmaps to address low-power, low-noise, and performance-per-watt product needs through prototyping, use-case analysis, and cost/benefit trade-offs. Partner with architecture, ASIC, board/platform, software/firmware, and marketing teams to drive design decisions and debug complex issues. Track industry trends and market needs and translate them into forward-looking roadmaps that keep NVIDIA's products ahead of the curve. Lead debug efforts, develop workarounds, and support bringup , validation, manufacturing, and customer escalations. What We Need to See: <

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Our Tensix team is building custom AI compute cores, RISC-V CPUs, and chiplet-based architectures for datacenter, edge, and automotive AI. Design Verification Engineers on this team validate compute IP and subsystems and build scalable DV infrastructure to keep verification fast, automated, and production-grade. This role is hybrid, based out of Toronto, ON, Austin, TX or Belgrade, Serbia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Experienced in modern verification methodologies with strong SystemVerilog skills and exposure to structured testbench development. Comfortable working from block-level to system-level verification and reasoning about microarchitecture behavior from specs and waveforms. Proficient in Linux environments with Python, or Bash scripting for automate builds, parse logs, manage CI pipelines. Skilled in coverage-driven verification and confident debugging across RTL, testbench, and workload scenarios. Motivated by AI hardware and eager to learn verification strategies for new architectures and domains. What We Need Contribute to verification of Tensix IP and subsystems from early planning through tape-out, owning cov

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology and amazing people. Today, we're harnessing the boundless possibilities of AI to build the next era of computing. An era in which our GPU acts as the brain of computers, robots, and self-driving cars that can understand the world. Accomplishing unprecedented goals calls for imagination, inventiveness, and exceptional talent from around the world. As a NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Join our team and discover how you can build a lasting impact on the world. NVIDIA designs the silicon behind AI, accelerated computing, and graphics. Power and thermal architecture decisions sit behind every watt of performance and every degree of thermal headroom! We are the Silicon Co-Design Group (SCG). We are hiring a Principal Architect to scout the research and industry landscape, identify emerging system-level co-design ideas in power and thermal, and drive them across teams into product differentiation across NVIDIA's roadmap. This role shapes system, platform, and datacenter feature/behavior, and partners with teams across Nvidia. SCG scope spans across architecture, design, software, operations, platforms, and productization. What you'll be doing: Architect next-generation system, platform, and datacenter-level power and thermal co-design solutions. Scan internal research, academia, standards bodies, and silicon, memory, packaging, and platform partners for what is emerging. Build the product differentiation case for each candidate idea, performance, power, reliability, schedule, cost, and brainstorm what is worth pursuing. Lead end-to-end co-design from concept to product. Drive alignment across architecture, VLSI, softw

As one of the technology industry's most desirable employers, NVIDIA has been redefining accelerated computing, computer graphics and leading the Artificial Intelligence revolution. NVIDIA's innovation is fueled by its great technology—and amazing people. We are seeking a Senior Silicon and System Product Lead to influence, innovate and take our next generation products to the market. As part of the Silicon Solutions Team, we architect and deliver groundbreaking system solutions that integrate all aspects of the system from silicon design, software design to operations and final deployment in multiple market segments that NVIDIA serves. This position offers an unique opportunity to collaborate with multiple organizations in the company and grow your career in a high impact role. We need a passionate, hard-working and creative individual to lead the products all the way from market analysis to delivering the features on the final product. What you'll be doing: Drive product performance and power targets, trade-off features/configurations and provide innovative solutions to complex silicon and system level problems. Evaluate new market segments and use cases; translate market requirements to engineering problem statements and metrics. Innovate Performance, power, yield and quality optimizations and features for the world’s fastest power-shipping products in the GPU and SoC market segments spanning gaming, automotive, datacenter and DL/AI. Develop methodologies and requirements for multi-functional teams to drive silicon and system product features to production. Incorporate productization feedback to improve the next generation. Lead the team for feature requirements and schedule from architecture to silicon phase of projects. Work alongside system architects, designers, marketing teams, chip and board designers, software/firmware engineers, HW/S

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As a NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Silicon Co-Design Group (SCG) is a wide-ranging, multi-functional, integral team at NVIDIA. We sit at the crossroads of design, architecture, marketing, operations, and productization. Our contributions span from the arch stage and extend to defining final products. We architect innovative solutions for Datacenter, Server, Gaming, Robotics, Automotive, and Embedded markets. We are fast-paced, dynamic, share a sense of humor, and collaborate extensively to push the boundaries of what is possible. We do all of this with an eye on making groundbreaking, impactful market disruptions! We are seeking an experienced Senior Manager to lead Product Co-Design and Verification in areas of Speed, Reliability and Power Compliance. You will oversee speed/timing/reliability system design, Simulation-to-Silicon power/speed verification, features for product compliance and test chip development crating future product roadmaps. The ideal candidate will have deep technical expertise in semiconductor/VLSI design and a background in translating product requirements into design and vice versa. This is a highly visible, multi-functional role to produce outstanding products that ship at SOL and meet the high NVIDIA quality we demand and customers expect. <p

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. Design-for-X Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions in AI for Chip Design and AI for Predictions in various use cases in manufacturing testing on some of the industry's most complex semiconductor chips. What you'll be doing: As a senior member in our team, you will work on innovating in the DFT Power, Thermal & Voltage Noise Methodology areas. This will include working on groundbreaking low power & thermal solutions for our manufacturing tests to be enabled at conditions that push the boundaries for our datacenter GPUs. You will work with multi-functional teams including Product Development & Power Architecture, implementing brand-new methodologies on hard-to-solve problems for improving our outgoing quality of chips. You will work on post-silicon data analysis for power to architect the next-gen solutions. In addition, you will help develop and deploy DFT methodologies for our next generation products using Applied ML & Gen AI solutions. You will also help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: BSEE (or equ