Data Center Controls Network Engineer Jobs

Position Summary: We are seeking an experienced and result-oriented IT Procurement Professional with 5-7 years of proven expertise for strategic sourcing and procurement of IT products and services. The ideal candidate will have strong expertise in procuring IT hardware, software, cloud services, SaaS applications, cybersecurity solutions, telecommunications, and professional services. The role requires end-to-end ownership of procurement activities, supplier relationship management, commercial negotiations, contract management, and stakeholder engagement while ensuring cost optimization, regulatory compliance, and procurement governance. Key Responsibilities: Strategic Procurement & Sourcing:  End-to-end procurement of IT hardware, software, cloud services, SaaS applications, cybersecurity solutions, telecommunications, data center infrastructure, and technology services.  Proven experience in procurement of IT infrastructure, software licensing, cloud platforms (AWS, Azure, Google Cloud), SaaS applications, cybersecurity solutions, telecommunications, and managed services.  Develop and execute category sourcing strategies aligned with business objectives and technology roadmaps.  Manage the complete sourcing lifecycle, including requirement gathering, market assessment, RFI/RFP/RFQ preparation, supplier evaluation, commercial analysis, negotiations, and contract award.  Drive competitive bidding and supplier selection to achieve optimum commercial and technical outcomes. Commercial & Contract Management:  Negotiate pricing, commercial terms, payment terms, SLAs, licensing models, support agreements, renewals, and long-term contracts.  Ensure timely execution of contracts in collaboration with Legal, Finance, Information Security, and business stakeholders.  Manage contract renewals, amendments, vendor obligations, and commercial risk throughout the contract lifecycle.  Deliver measurable cost savings while optimizing Total Cost of Ownership (TCO). Ve

NVIDIA is looking for a hands-on Solutions Architect Manager to lead a team of GPU, networking & software solution architects and engineers. Do you want to build and lead a group that designs, debugs, and deploys new AI hardware and software technologies into production in customer data centers? As part of the NVIDIA SA organization, you will drive people and technical leadership for end-to-end solutions deployments at some of NVIDIA's most strategic technology customers, while directly contributing to designs and deep-dive debugging and shaping our product roadmap with customer feedback. What you will be doing: Recruit & manage a team of solutions architects, system/network and software engineers focused on large-scale GPU and AI networking deployments. Set priorities, allocate resources, mentor, and ensure high-quality customer delivery across multiple concurrent projects - while remaining directly involved in key technical reviews, design decisions, and critical debug efforts. Provide deep subject-matter expertise in advanced GPU and network systems and serve as the senior technical point of contact for strategic customers. Personally lead and guide complex compute/network configuration and performance debugging, working side-by-side with your team to deliver performant, reliable clusters. Guide your team as they lead network / compute / software architecture discussions, and support server, network, and cluster bring-up, including on-site data center work where needed. Systematically collect and synthesize customer-specific requirements across your portfolio. Partner with GPU/Network Systems Engineering, Product Management, and Sales to influence roadmap priorities and packaging of reference designs and solutions. Demonstrate SME in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers. Bring customer-sp

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. This role sits at the center of cutting-edge AI hardware development, keeping the servers, PCIe systems, and engineering infrastructure running that power next-generation compute. You’ll be hands-on with rapidly evolving prototype and production systems, installing, maintaining, and troubleshooting hardware in fast-paced R&D and data center environments. Acting as a critical bridge between hardware engineers, software teams, and IT, you’ll help ensure seamless access to the platforms that turn ideas into working silicon and systems. This role is onsite, based out of Toronto, Canada or Austin, Texas. 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 A hands-on hardware professional who enjoys building, maintaining, and troubleshooting complex computing systems. Comfortable working in fast-paced R&D environments where hardware, firmware, and software are constantly evolving. Knowledgeable in computer architecture, operating systems, and hardware diagnostics, with strong problem-solving skills. Collaborative, detail-oriented, and motivated to improve processes through documentation, scripting, and automation. What We Need Inst

NVIDIA is seeking a Senior Staff SRE to build and operate reliable, scalable compute platforms that support global engineering workloads. This role spans Kubernetes, KubeVirt, bare-metal infrastructure, automation, observability, and AI-enabled operations. Join a team that solves complex infrastructure challenges, builds durable automation, and improves the reliability and operational experience of critical compute services. What you’ll be doing: Build, operate, and improve large-scale Kubernetes, KubeVirt, Linux, container, and bare-metal compute platforms, with a focus on performance, capacity, reliability, and operational scale. Lead bare-metal provisioning and lifecycle management in data centers, including PXE boot, DHCP, DNS, OS provisioning, hardware validation, and fleet automation. Develop automation, self-service capabilities, and observability solutions using APIs, Python or Go, Infrastructure as Code, configuration management, metrics, logs, traces, and service-health data. Define and operate SLOs, SLIs, error budgets, alerting, and incident-response practices; lead complex incident investigations, corrective actions, and blameless postmortems. Partner with infrastructure, security, hardware, data-center, and application teams to deliver global platform initiatives, and participate in an on-call rotation. What we need to see: BS in Computer Science, Engineering, a related technical field, or equivalent experience, plus 10&#43; years operating production infrastructure or platform services. Strong expertise in Kubernetes administration, KubeVirt, Docker, containerization, microservices, Linux systems, and resolving distributed-system challenges. <l

About the Team OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. In partnership with leading cloud providers, hardware manufacturers, utilities, construction partners, and internal engineering organizations, we are delivering hyperscale AI campuses that power the next generation of frontier AI models. Infrastructure Delivery Operations sits at the center of this effort. The team ensures that large, highly complex infrastructure programs execute predictably across planning, design, construction, hardware deployment, commissioning, and operational handoff. We partner across Hardware Engineering, Network Engineering, Capacity Delivery, Hardware Operations, Security, Finance, Supply Chain, and our external infrastructure partners to keep programs aligned, risks visible, and execution moving at Industrial Compute speed. About the Role We are seeking a Technical Program Manager, Infrastructure Delivery Operations to drive execution across large-scale AI infrastructure deployments. This role is responsible for orchestrating cross-functional delivery programs spanning multiple organizations, ensuring dependencies remain synchronized from early planning through production readiness. You will develop operational mechanisms that allow Industrial Compute to scale infrastructure delivery across multiple campuses simultaneously. Rather than owning any individual engineering discipline, you will own program health—bringing together engineering, construction, operations, supply chain, and partner organizations into a single coordinated execution model. Success in this role requires exceptional program management, executive communication, systems thinking, and operational rigor. You should be comfortable operating amid ambiguity while bringing structure to highly technical, multi-year infrastructure programs. Candidates should have experience leading complex infrastructure, cloud, data center, semiconductor, networking, manuf

About the Role As a Director, Compute & Infrastructure FP&A, you will own and drive the monthly forecasting process for the Compute & Infrastructure org by partnering with various stakeholders across Finance, Accounting, Tax and Engineering. You will play a critical role in planning and forecasting the company’s largest and most complex cost center ( Compute & Infrastructure ). You will collaborate cross-functionally to develop long-range infrastructure investment plans, evaluate build vs. buy decisions, and ensure capital is deployed efficiently to support rapid growth. You will also provide strategic financial guidance through scenario modeling, ROI analysis, and performance tracking, enabling leadership to make high-stakes decisions under uncertainty. What You’ll Do Own compute financial planning & Forecasting. Build and manage consolidation models for GPU/CPU capacity, storage, networking, and data center investments. Translate infrastructure roadmaps into short- and long-term financial forecasts (LRP, annual planning) Coordinate closely with Corporate FP&A on timelines and process Present insights on a monthly basis to senior management. Drive infrastructure investment decisions. Evaluate build vs. buy, vendor vs. owned infrastructure, and capacity allocation tradeoffs. Develop frameworks for investment trade-offs to guide executive decision making. Build scalable tooling & reporting. Implement stakeholder-facing dashboards to track compute spend, utilization, and efficiency metrics. Improve visibility into unit economics (e.g., cost per training run, cost per inference, cost per customer). Drive forecasting accuracy & accountability. Lead budget vs. actual analysis for compute and infrastructure spend. Identify key cost drivers (utilization, pricing, efficiency gains) and reduce forecast variance. Support close & financial reporting. Partner with Accounting to ensure accurate classification of infrastructure spend (OpEx vs C

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

Job Details: Job Description: Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. Want to learn more? Visit our YouTube Channel or the link below. Life at Intel The Role and Impact As a SoC Power Thermal Performance Validation and Optimization Engineer, you will play an essential role in ensuring Intel's products achieve optimal power, thermal, and performance benchmarks at the system-on-chip (SoC) level. In this position, you will develop and execute validation methodologies, optimize hardware/software solutions, and perform SoC-level debugging to address power, thermal, and performance challenges. Your contribution will directly impact Intel's ability to deliver competitive, high-performing products to market. Business Group This role is part of Intel's Data Center Group (DCG), which focuses on designing innovative solutions to power the next generation of computing platforms for data centers. As a member of the PTP PreSi Correlation Solution team, you will contribute to shaping the development and validation processes for cutting-edge technologies, ensuring Intel meets and exceeds industry standards for performance and efficiency. Key Responsibilities: Develop and execute SoC-level power, thermal, and performance validation and

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. As part of Micron's Technology Engineering & Innovation (TE&I) organization, you will have the opportunity to shape the future of our global infrastructure platforms while enabling business growth, operational resilience, and digital transformation at scale. The Opportunity Micron is seeking a transformational Senior Director of Technology Engineering & Innovation (TE&I) to lead the strategy, engineering, operations, and modernization of our global infrastructure ecosystem. This role is responsible for defining and executing Micron's vision across enterprise networks, cloud platforms, data center strategy, database services, infrastructure engineering, automation, observability, and global infrastructure operations. As a key member of the TE&I leadership team, you will drive innovation, operational excellence, and strategic transformation while building a high-performing organization focused on business outcomes and exceptional customer experiences. The successful candidate will be equally comfortable developing multi-year technology strategies, leading large-scale infrastructure transformations, driving operational performance, developing talent, and fostering a culture of collaboration, accountability, and continuous improvement. What You Will Do Lead Global Infrastructure Strategy & Transformation Define and execute Micron's global infrastructure vision and strategy. Develop multi-year roadmaps for: Enterprise Network Services <l

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 an 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. At NVIDIA, we are seeking a Senior Account Manager who will bring technical and business insight to help grow the Networking business with Cloud Service Providers, leveraging NVIDIA’s fast-growing Datacenter Networking Business. What you'll be doing: You will be an integral part of a small, forward-thinking team responsible for a significant and rapidly growing revenue contribution to the Enterprise products group, the fastest growing and most dynamic segment at NVIDIA. Working with leading CSP to grow deployment of NVIDIA networking solutions Define and drive the discussions, strategy and tactics for achieving revenue growth Partner and collaborate with technical teams on roadmap updates, new designs, competition Representing the customer’s strategy & needs to internal stakeholders and vice versa Delivering a concise state of the business at any given time What we need to see: Bachelor’s degree or higher in related field (or equivalent experience). 12&#43; years of Technical Sales or Product Management with focus on Data Center Networking for CSPs An understanding of the business and technology landscape of CSP Data Center Networking <l

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

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. Join Tenstorrent as a Staff Reliability Engineer and help define the reliability strategy behind the next generation of AI computing systems. In this highly visible technical leadership role, you'll drive reliability from architecture through production, partnering across hardware, software, and manufacturing teams to build high-performance AI platforms that set the standard for uptime, durability, and quality. If you're passionate about solving complex engineering challenges and influencing products at scale, you'll have the opportunity to shape technology powering the future of AI. This role is hybrid, based out of Toronto, Canada. 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 You've spent 8+ years in reliability engineering, ideally in high-performance computing, AI hardware, or data center systems. You're comfortable with the statistical side of the job, HALT, HASS, ALT, MTBF, Weibull analysis, and FMEA are all familiar territory. You can work through a technical problem in a thermal lab and then explain the risks and trade-offs clearly to leadership. You're good at bringing people together, mechanical, electrical, thermal, softw

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. Tenstorrent builds AI and RISC-V compute hardware and licenses its technology to partners worldwide. The Corporate Development Associate leads client-facing analysis for the strategic deals side of the team, owning the evaluation, structuring, and execution of partnerships and commercial transactions. The role suits someone who takes on responsibility quickly, operates independently, and is credible in front of partners, customers, and the C-suite. Corporate Development is responsible for the transactions that shape Tenstorrent as a company: raising capital, acquiring or partnering with other businesses, and structuring the commercial and licensing agreements that extend the reach of its technology. The team runs Tenstorrent's equity and debt financings and its investor relations, evaluates and executes buy-side and sell-side M&A, negotiates strategic partnerships and joint development agreements, supports licensing and strategic sales, and develops government and sovereign AI programs. Counterparties include semiconductor and systems companies, data center operators, institutional and strategic investors, and government bodies in North America, Asia, and Europe. The team reports directly to Tenstorrent's Chief Strategy Officer and works day to day with the CEO and the executive team. It is small, and every member carries real responsibility

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. Tenstorrent builds AI and RISC-V compute hardware and licenses its technology to partners worldwide. The Corporate Development Manager leads workstreams across the full range of the team's work: fundraising and investor relations, mergers and acquisitions, strategic partnerships, licensing, and commercial transactions. Managers own the evaluation, structuring, negotiation, and execution of transactions, lead the analysis behind them, and represent Tenstorrent directly with partners, customers, investors, and the executive team. The role suits someone who takes on responsibility quickly, operates independently, manages and develops junior team members, and is credible in front of the C-suite. Corporate Development is responsible for the transactions that shape Tenstorrent as a company: raising capital, acquiring or partnering with other businesses, and structuring the commercial and licensing agreements that extend the reach of its technology. The team runs Tenstorrent's equity and debt financings and its investor relations, evaluates and executes buy-side and sell-side M&A, negotiates strategic partnerships and joint development agreements, supports licensing and strategic sales, and develops government and sovereign AI programs. Counterparties include semiconductor and systems companies, data center operators, institutional and strategic inv