Jobiba hiring network

Data Center Rack Integration Manager Jobs

10,000 active opportunities · Updated for October 2026

Fresh results

15 shown

Explore current data center rack integration manager jobs. Use filters to narrow by work mode, employment type, experience and date posted.

A
Anthropic
📍 San Francisco• $230K – $300K/yr
6 days ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Director, Infrastructure Lease Accounting to lead technical accounting for our most complex infrastructure and energy arrangements — the data center leases and related structures underpinning our recently significant investment in American computing infrastructure. As we continue our rapid growth, you will ensure the financial statement accuracy of the most technically complex contracts we enter into. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic accounts for the highest-stakes arrangements underpinning our compute and energy portfolio. You will serve as the technical accounting subject matter expert for arrangements spanning data center leases (ASC 842), and counterparty or joint-venture structures (ASC 810 VIE analysis). You'll work closely with Real Estate, Legal, Finance, and external auditors to ensure accounting implications are understood before commitments are made. Responsibilities Serve as the technical accounting subject matter expert for Anthropic's most complex infrastructure arrangements, leading classification, measurement, and subsequent accounting judgments Apply ASC 842 to complex lease arrangements, including lease identification, modifications, reassessments, and embedded leases within compute, colocation, and data center contracts Apply ASC 810 to counterparty and joint-venture structures, including variable interest entity (VIE) analysis for special purpose entities Apply ASC 815 to energy and infrastructure arrangements, including consideration of embedded derivatives Lead technical accounting an

sqlaiaccounting
View job →

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 your responsibilities, you will be required to: Support essential IT operations across operating systems, security tools, applications, servers, laptops, desktops, software, and hardware while collaborating with Lab, Data Center, Cloud, IT, and Engineering teams. Open to fresh graduates with 0 years of experience. ( Linux and Windows knowledge is mandatory) Provide 24/7 rotational on-call support, ensure SLA compliance, classify incidents accurately, communicate ticket status, and manage escalations through timely resolution. Troubleshoot operational issues, perform incident and problem management, identify root causes, and deliver technical support aligned with business priorities. Monitor system performance, review logs, perform trend analysis, and take proactive actions to improve uptime, solution health, and operational reliability. Use knowledge bases, best practices, technical articles, and continuous learning to improve support quality and resolve recurring issues effectively. Identify, design, and implement scalable process and technology improvements that enhance support for engineering tools, services, and operational workflows. Apply AI-enabled ways of working, including Microsoft Copilot, Generative AI, automation, analytics, and AI-assisted troubleshooting, to improve productivity, reporting, monitoring, ticket analysis, and knowledge management. Use AI responsibly by validating AI-generated outputs, protecting confi

awsazuregcp
View job →
N
6 days ago

NVIDIA is seeking a Senior Firmware Engineer to join our CSP Engagements team, focusing on system software for Datacenter products such as GB200. This role combines deep technical expertise in embedded firmware development with customer-facing responsibilities to enable cloud service providers with next-generation computing platforms. You will work at the intersection of hardware and software, driving technical solutions from concept through deployment. What you will be doing: Design and develop firmware solutions for manageability and observability of data center servers. Actively participate in hardware bring-up activities, OOB firmware development, protocol stacks (Redfish, PLDM, MCTP, NSM) and hardware-software co-design for Cloud Service Provider deployments. Debug and troubleshoot NVIDIA GPU firmware issues, power management, performance, and thermal control problems for data center deployments, providing active support to CSPs. Partner directly with CSPs to deliver technical solutions, co-develop & co-debug features and optimizations, and provide support during new product introductions. Perform advanced system debugging, root cause analysis, and performance optimization for large-scale data center environments. Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. What we need to see: Deep expertise in data center server architectures, HPC systems, and hardware-software co-design. Deep expertise in embedded firmware, server management controllers, and hardware bring-up with proven track record of shipping production BMC solutions Strong knowledge of DMTF protocols (Redfish, IPMI, PLDM, MCTP, SPDM), telemetry frameworks, and out-of-band management architectures Expert-level skills in C/C&

artificial intelligenceai
View job →

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Senior Manager, Assembly Operations is responsible for Core, Module, and Harness Assembly at the Cedar Park, Texas facility as KARNO production moves from development builds to repeatable production. Hyliion designs and builds the KARNO Power Module, a fuel-agnostic linear generator for data center, commercial and industrial, and defense applications, combining additive manufacturing with precision electromechanical assembly. The position runs the shop floor through Safety, Quality, Delivery, Cost, and People (SQDCP) performance, builds the standard work and discipline that make production predictable, and develops supervisors into front-line leaders. Designs are maturing, work instructions are evolving, and some assemblies are still being productionized, so the position brings structure to that environment without slowing the build. Continuous improvement is part of the daily work of the role. Leadership is exercised on the production floor by listening to the people doing the work and solving problems alongside them, with high standards and accountability delivered with respect. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities Own Safety, Quality, Delivery, Cost, and People (SQDCP) performance across Core, Module, and Harness Assembly, with defined metrics, visual management, and daily tiered accountability. Build a safety-first culture in an environment that includes high-voltage systems, pressuri

aisupply chainhuman resources
View job →
O
OpenAI
📍 United States• Full-time• Remote• $212.8K – $389K/yr
8 days ago

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. The Industrial Compute team is central to this mission, setting the core infra strategy and implementing this vision. From site selection to the buildout process, this team sits at the intersection of commercial, technical, strategy, and operations, interacting with teams and executives inside and outside of OpenAI. About the Role The Clean Energy and New Technology Lead will own infrastructure clean energy and emerging energy technology strategy and execution, identifying and deploying scalable solutions that enable resilient, low-carbon compute and data center growth. The role will work closely with regulatory and policy teams to align infrastructure expansion with OpenAI’s long-term environmental and operational objectives. This is an individual contributor lead role and does not have direct reports initially. The role will evaluate where emerging energy technologies can materially improve reliability, cost, carbon, speed, or resilience; translate those options into practical deployment pathways; and help ensure OpenAI’s infrastructure growth remains aligned with sustainability considerations. Key Responsibilities Evaluate emerging energy solutions such as clean firm power, advanced storage, grid flexibility, low-carbon backup power, heat reuse, water-related energy efficiency, and other scalable technologies where relevant. Identify pilot opportunities and deployment pathways that can move promising energy technologies from concept to commercially and operationally credible execution. Translate technical options into clear reliability, cost, schedule, carbon, regulatory, and operational implications for infrastructure decision-making. Partner with energy regulatory, policy, procurement, engineering, deployment, finance, legal, and site-readiness teams to align technology and sustainability choices with

REMOTEartificial intelligenceaifinance
View job →

NVIDIA is leading groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU -- our invention -- serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We build communication libraries like NCCL, NVSHMEM, and UCX that are crucial for scaling Deep Learning and HPC. We're seeking a Senior Software Architect to help co-design next-gen data center platforms and scalable communications software. DL and HPC applications have a huge compute demands and already run at scales of up to tens of thousands of GPUs. GPUs are connected with high-speed interconnects (e.g. NVLink, PCIe) within a node and with high-speed networking (e.g. InfiniBand, Ethernet) across nodes. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize NVIDIA's vision? What you will be doing: Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems. Design and implement new communication technologies to accelerate AI and HPC workloads. Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects. Build proofs-of-concept, conduct experiments,

linuxartificial intelligenceai
View job →

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We are seeking a hands-on Infrastructure Security Engineer to build and secure SpaceXSI's infrastructure from the bare-metal layer up through the platform and application stack. In this role, you will design, implement, and harden physical and private-cloud foundations—servers, networks, identity, and orchestration—and carry that security posture into containers, automation, and hybrid connectivity with public cloud. This role focuses on securing critical infrastructure spanning data centers, colo, and hybrid environments, with work that may span platforms such as SpaceXSI, X Social, X Money, and related systems. You’ll operate with an automation-first mindset: building secure foundations at the metal and OS layer, hardening platforms at scale, and partnering closely with engineering so security is embedded in how we build and run systems—not bolted on after the fact. RESPONSIBILITIES: Bare metal, data center & network security Design and implement secure bare-metal and private-cloud architectures (servers, storage, out-of-band management, BIOS/UEFI/BMC firmware posture) Harden physical and virtual fleets: OS baselines (Linux/Windows), CIS benchmarks, patch a

pythonkuberneteslinux
View job →
S
12 days ago

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Conducting technical interviews; Creating software, tooling and distributed systems for automating and managing data center network hardware and compute stacks; Creating and operating shared infrastructure for Stripe’s Cardholder data environment; Deployment tooling; SOX compliance audit prep interviews, and remediations; PCI compliance audit prep, interviews, and remediations; Project management; Mentoring junior engineers; On-call responsibilities. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, or related field, plus two (2) years of Software Development experience. Position also requires the following: 2 years of experience with AWS cloud infrastructure and Terraform infrastructure automation; 2 years of experience with reliability, scalability, and distributed systems principles; 1 year of experience in Go and Ansible programming languages; 1 year of experience in Puppet host configuration; 1 year of experience in Ruby programming language; 1 year of experience in Python programming language; 1 year of experience in mentorship and leadership of junior software engineers; 1 year of experience performing 24/7 on call rotations to support high-availability software systems; 1 year of experience with monitoring and logging tools; 1 year of experience with computer network concepts; 1 year of experien

pythonawslinux
View job →

About the Job Lead performance work that turns large-scale AI workloads into faster, more efficient systems. As a Staff AI Performance Engineer, you will analyze and optimize AI training and inference workloads across distributed systems. Your work will connect compute, memory, networking and software behavior. You will lead complex performance workstreams across hardware and software. You will find bottlenecks, validate improvements and turn performance evidence into practical engineering decisions. You will build benchmarks, profile demanding workloads and develop C++ and Python tools for analysis and optimization. Your recommendations will help teams improve efficiency, scalability and reliability. This role gives you broad technical scope across AI infrastructure at data center scale. It is based in Milpitas, California. The team and culture The System Engineering Performance team architects, evaluates and optimizes high-performance infrastructure for large-scale data center deployments. The team works across the computing stack to understand real system behavior. Work moves through evidence, ownership and clear technical judgment. You will lead investigations, coordinate across teams and validate impact with reliable performance data. Decisions are shaped through benchmarks, models, simulations and practical engineering tradeoffs. The team values engineers who think big, act fast, take responsibility, speak up and lead beyond their own area. What we’re looking for · Strong experience profiling and optimizing AI, machine learning or high-performance computing workloads. · Experience with distributed systems and communication libraries such as MPI, NCCL, UCX or libfabric. · Strong C++ and Python skills, including reliable tools or performance-sensitive software. · Deep understanding of compute, memory and communication behavior in large-scale systems. · Ability to lead technically complex work and coordinate improvements across teams. · Familiarity with MLPerf, a

pythonmachine learningartificial intelligence
View job →

About the Job Set the performance direction behind large-scale AI systems built for real deployment. As a Principal AI Performance Engineer, you will define how Graphcore analyzes and optimizes AI training and inference workloads. Your work will shape decisions across hardware, software, networking and system architecture. You will lead the hardest performance investigations, from model behavior to multi-node scaling. You will turn profiling, benchmarking and modeling evidence into technical roadmaps and engineering priorities. You will set measurement standards, guide distributed communication strategy and review critical C++ and Python tools. Your judgment will help teams make better decisions when data is incomplete. This role gives you rare influence across AI infrastructure at data center scale. It is based in Austin, Texas. The team and culture The System Engineering Performance team architects, evaluates and optimizes high-performance infrastructure for large-scale data center deployments. The team works across the computing stack to understand real system behavior. Work happens through evidence, technical ownership and direct cross-team influence. You will guide strategy, resolve complex tradeoffs and raise performance-engineering standards across the organization. Decisions are shaped by benchmarks, simulations, models and clear technical debate. The team values engineers who think big, act fast, take responsibility, speak up and lead beyond their own area. What we’re looking for · Deep experience profiling and optimizing AI, machine learning or high-performance computing workloads at scale. · Proven technical leadership across complex performance-engineering or system-architecture initiatives. · Expert C++ and Python skills, including reliable tools or performance-sensitive software. · Expert understanding of compute, memory, communication and scaling behavior in distributed systems. · Ability to define benchmarks, measurement practices or optimization sta

pythonmachine learningartificial intelligence
View job →
M
Micron
📍 Longmont Max Office
12 days ago

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. The SSD Engineering team develops the firmware, tools, and infrastructure that power Micron's industry-leading storage solutions. By leveraging automation, CI/CD technologies, and AI-enabled engineering practices, the team accelerates firmware development, improves product quality, and delivers reliable storage solutions for data center and enterprise customers. As an SSD Firmware CI/CD & AI Intern, you will work alongside firmware engineers to enhance and modernize Micron's SSD firmware development ecosystem. You will develop automation tools, AI agents, and CI/CD solutions that improve how firmware is built, tested, integrated, and validated. This role focuses on engineering productivity, intelligent automation, and scalable development workflows rather than firmware feature development. Responsibilities Design, develop, and deploy AI agents that enhance firmware development, testing, integration, and validation workflows. Build and maintain Python-based automation solutions for CI/CD pipelines, firmware builds, testing, and release activities. Analyze CI/CD pipeline performance, test results, and workflow data to identify opportunities for quality, reliability, and productivity improvements. Integrate AI-assisted tools and intelligent automation capabilities into existing firmware engineering processes. Collaborate with firmware, validation, and software engineering teams to evaluate, deploy, and continuously improve automation and AI-enabled development solutions. <b

pythongitmachine learning
View job →
I
Intel
📍 California• $220.9K – $311.9K/yr
13 days ago

Job Details: Job Description: The Role and Impact As a GPU Platform Hardware Design Engineer, you will play a pivotal role in designing and developing high-quality GPU hardware platforms that drive innovation in high-performance computing, graphics, and visualization technologies. You will lead the design process from initial feasibility studies through board layout, tapeout, and platform power-on, ensuring robust functionality and compatibility with industry standards. Your expertise in platform-level requirements, electrical engineering applications, and system bring-up will directly contribute to delivering cutting-edge GPU systems that accelerate Intel's leadership in computing. Business group The Data Center Group (DCG) is dedicated to advancing Intel's role in powering the digital world with leading-edge technologies. Focused on delivering innovative solutions for data center and cloud environments, DCG supports high-performance computing and graphics to enable capabilities such as AI, machine learning, and advanced visualizations. As part of the GPU IP Engineering team within DCG, you'll contribute to developing GPU systems that meet the evolving demands of the industry while supporting Intel's broader mission to create world-changing technology. Key Responsibilities - Design, develop, and evaluate electronic components, PCBs, and integrated circuits for GPU hardware platforms. - Translate platform-level requirements into detailed specifications and ensure adherence throughout the design process. - Define component placement and trace routing rules to optimize board layouts for performance, power, and signal integrity. - Conduct feasibility studies, board layout, tapeout, and platform power-on activities. - Perform functionality tests and utilize tools to verify platform configurations and compatibility. - Research, develop, and validate firmware, hardwa

machine learningairecruitment
View job →
M
14 days ago

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. In this role, your primary focus will be to support Infrastructure Level 2 Operations with primary focus on Windows and Unix Server technologies and methodologies, which will have a heavy emphasis on automation and a hybrid cloud environment, while maintaining operational excellence in multiple world class Data Center environments. Job Responsibility: Provide L2 support in incident, request, change and problem management related to server and DB operations in Windows and Unix operating systems. Provide L2 support and participate in Major incidents. Ensure SLA for incidents and service requests are met with high quality of work. Ensure KPIs, such as breach case target, MTTR and escalation target is met. Install and upgrade firmware for hardware and operating systems, apply patches and implement changes when required. Diagnose and solve OS/hardware errors ensuring high availability of MFG systems. Monitor server performance proactively and perform analysis of cases to prevent recurring issues. Enhance monitoring/alerting to reduce noise and recurrences. Develop processes and operation procedures related to server operations. Create and manage reports, visualizations, and dashboards related to windows/unix operations. Perform capacity planning and participate in Disaster Recovery drills. Work with Subject Matt

pythonjavasql
View job →
M
15 days ago

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Summary: Every gigabyte Micron ship is trusted to hold someone's data for years, whether in a phone, a car, a data center or an AI cluster. The NAND Product Reliability Architecture (NRA) team defines how we prove that trust before a product is released. As a Staff Engineer in NAND Product Reliability Architecture team, you will own the reliability architecture for Micron's newest NAND products end-to-end: interpreting reliability requirements, architecting qualification and stress strategies, developing and integrating reliability algorithms and system features, and optimizing coverage, sampling and test time so that we qualify faster without compromising quality. This is a high-leverage, high-visibility role. Your architecture decisions directly influence qualification cycle time, product time to market and the reliability our customers experience in the field. In a market where being first to qualify is a competitive advantage, speed is a core expectation. You will work closely with Technology Development, System Architecture, Design Engineering, Product Engineering, Manufacturing and Quality, and you will be expected to influence across these teams. Main Responsibilities: Comprehend NAND reliability specifications

pythonmachine learningartificial intelligence
View job →
M
15 days ago

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. Responsibilities and Tasks: You will work regularly with Micron’s Business Units to ensure solutions meet or exceed business requirements. You will be expected to suggest, promote, and leverage published standards to minimize environment complexity and ensure regulatory as well as license compliance. As part of your responsibilities you will be required to: Provide day to day technology directions within Linux Server, OpenShift, and Data Center Server infrastructures Maintain global collaboration with the other Micron IT operations teams, both internal and external to I&O Operational support escalation Incident management and problem management Project execution Maintain OLA and SLA agreements with other Micron Business Units Innovation Specific responsibilities include (but are not limited to): Continually improves operations through routine monitoring of system performance metrics and proactive actions. Reviewing of system log files, trend analysis, configuration, incident and problem management processes. Recommends and works with the Solution and Enterprise Architect on system or architectural changes when needed to improve performance, high availability, scalability, or propose innovative technologies. Ensures architectural consistency and provides technical direction through roadmap process, knowledge management, disaster recovery plan development and testing. <

linuxartificial intelligenceai
View job →
🔔

Get new data center rack integration manager jobs by email

Daily job updates · Unsubscribe anytime