Hardware Operations Engineer in United States

Coder is looking for an experienced and detail-oriented IT Generalist to join our growing team. This is a full-time role ideal for someone who thrives in a fast-paced, hands-on environment. You’ll be the go-to person for user support, SaaS administration, and IT infrastructure, playing a key role in ensuring our team stays productive, secure, and well-equipped. You'll work closely with the larger IT team to keep things running smoothly - from onboarding new hires to managing devices and licenses to supporting SOC 2 compliance initiatives. If you're a strong communicator with a passion for IT operations and solving real problems for real people, this role is for you. This position follows a hybrid work model. Candidates should be local and able to work from our local office on a regular weekly basis, with scheduling flexibility. What you’ll do here Act as the first line of IT support for employees via Slack and our internal ticketing system Manage user onboarding/offboarding, including account provisioning through Okta and license management via our SaaS management systems Administer and maintain core tools like Google Workspace, Slack, Jamf, 1Password, and other business-critical SaaS apps Set up and manage macOS hardware inventory, including procurement, configuration, and asset tracking Support SOC 2 and GDPR compliance by following processes for access controls, audits, and data security Help scale IT operations as we grow - identify gaps, recommend tooling, and streamline support workflows Document processes and contribute to internal knowledge bases to improve self-service and transparency What we’re looking for Have 2-4 years of experience in IT support or systems administration Are proficient with Okta, Google Workspace, Slack, Zoom, and Apple device management (Jamf preferred) Are comfortable working independently in a remote environment and prioritizing across a variety of IT tasks Have a security-first mindset and understand the importance of access contro

About the Team OpenAI’s Legal team plays a crucial role in advancing our mission by tackling innovative and fundamental legal issues in AI. The team includes professionals from diverse legal fields—technology, AI, infrastructure, privacy, IP, corporate, employment, tax, regulatory, and litigation—who collaborate closely with colleagues across the company. If you are passionate about being a technology lawyer working on cutting-edge challenges, you’ll thrive here. About the Role We’re seeking a senior lawyer to participate in commercial legal strategy and execution across OpenAI’s fast-growing infrastructure portfolio. This is a cross-functional role that will partner closely with procurement, supply chain, partnerships, finance, and product teams to structure, negotiate, and manage the transactions that will support OpenAI’s long-term infrastructure ambitions. We’re looking for an experienced infrastructure transactions lawyer who thrives in ambiguity and wants to help define the commercial playbook for infrastructure efforts in the AI era. This role reports to the Associate General Counsel for infrastructure. This role is based in San Francisco, CA. We use a hybrid work model of 3-days in the office per week and offer relocation assistance to new employees. In this role, you will: Own commercial legal strategy and risk management for OpenAI infrastructure transactions. Draft, negotiate, and advise on complex agreements with infrastructure suppliers, manufacturers, distributors, and technology partners. Support strategic partnerships involving AI infrastructure and hardware supply chains. Develop frameworks for procurement, licensing, and collaboration across the infrastructure ecosystem. Partner with finance and operations teams to align contract terms with business and compliance requirements. Collaborate with policy and regulatory colleagues on issues impacting global supply chains, export controls, and manufacturing. Build scalable, efficient contracting process

About the Team The Strategic Finance team provides financial insights and guidance to support the organization's long-term goals and strategies. We partner across the business to allocate and deploy our resources for the highest impact outcomes. About the Role We are hiring a Hardware Finance Manager, Consolidations & Systems to own the consolidated financial reporting, forecasting cadence, and financial systems across our hardware organizations (Io and Robotics). This role sits at the intersection of Hardware Finance, central FP&A, Accounting, and Finance Systems, and is responsible for ensuring leadership has a single, accurate, and timely financial view of the hardware business. This role will serve as the embedded owner of the hardware financial backbone, with end-to-end responsibility for consolidated P&L reporting, forecasting and variance analysis, and the systems and processes that enable scalable, decision-ready insights. You will help ensure hardware financials are consistent, auditable, and fit for executive and board-level decision-making as the organization scales in size, complexity, and capital intensity. We have a strong preference for candidates who can be based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will oversee multiple areas of responsibility: Own end-to-end consolidated financial reporting for all hardware organizations (Io and Robotics), delivering a single, integrated P&L view across R&D, Product, Revenue, COGS, and OpEx. Establish and run the hardware financial operating cadence, including monthly close, forecasting, reforecasting, and variance analysis, ensuring consistency and accountability across teams. Serve as a key finance partner to Hardware Finance leads, central FP&A, and Accounting, aligning bottoms-up plans with accounting actuals and enterprise reporting requirements. Build and maintain consoli

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role Trusted Computing and Cryptography is a core security team at OpenAI focused on deploying high-performance cryptography at scale, secure key management, and trusted hardware enclaves—from boot measurements to GPU confidential computation. As a Hardware Platform Security Architect, you’ll own hardware platform security at OpenAI. In this role, you will: Co-Architect Secure Silicon: Collaborate with cross-functional silicon teams (Silicon Design, DV, FW) and silicon partners (silicon test facilities, foundries) to develop secure silicon that meets the end-to-end system requirements. Co-Architect Secure Hardware: Collaborate with hardware vendors and cross-functional teams (kernel, compiler, infra) to design secure hardware that meets performance and security needs. Co-Architect Secure Systems: Architect and deploy systems using TPM2, Secure Boot, Nitro Enclaves, Intel SGX, AMD-SEV, and other secure hardware technologies. Drive Innovation: Engage with internal and external partners to align hardware innovations with OpenAI’s trusted computing and cryptographic requirements. You might thrive in this role if you have: 10+ years of industry experience in hardware security or hardware–software co-design. Proven expertise in deploying secure hardware systems at scale and integrating secure hardware primitives. Strong coding skills in Rust and/or C/C++, with proficiency in Python. Proven ability to collaborate across teams, architect solutions,

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions tailored to the demands of advanced AI workloads. We work across the full stack—from silicon to system integration—partnering closely with internal teams and external vendors to define and deliver next-generation AI infrastructure. Our team focuses on defining scalable, high-performance system architectures and reference designs that balance performance, cost, and operational efficiency across rapidly evolving technologies. About the Role We are seeking a 3P Architect to define and drive rack- and cluster-level reference designs in collaboration with external partners. This role is responsible for translating workload requirements and system-level goals into concrete architectures, aligning partners on critical design attributes, and ensuring vendor roadmaps meet our infrastructure needs. You will work closely with performance modeling and internal architecture teams to evaluate tradeoffs, while owning the end-to-end definition and execution of third-party system designs. This includes identifying gaps in current technologies, driving vendor development, and shaping future infrastructure capabilities. This role requires strong system intuition, cross-functional leadership, and the ability to operate effectively across internal teams and external ecosystems. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities Define rack- and cluster-level reference architectures for AI infrastructure deployments. Translate workload requirements into clear system design specifications and partner deliverables. Collaborate with performance modeling teams to evaluate architectural tradeoffs and system behaviors. Align internal stakeholders and external partners on critical system attributes (performance, cost, power, reliability, scalability). Identify gaps in current technology offerings and dr

About the Role OpenAI’s Applications organization spans rapidly growing Consumer, Enterprise, Developer, and Hardware businesses. As we scale across EMEA, APAC, and LATAM, we’re building the financial and operating model that will help our regional teams make faster, better decisions. We are hiring a senior Strategic Finance partner to help shape that work. You’ll serve as a trusted advisor to regional GMs, connecting market strategy with business performance and guiding where and how we invest. By bringing together insights across growth, revenue, OpEx, headcount, and marketing effectiveness, you’ll help leaders understand market health, set priorities, and drive measurable outcomes. You’ll create the frameworks, operating rhythms, and decision processes needed to scale our international business, while contributing to broader Strategic Finance priorities across Marketing. This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Periodic international travel is expected. In this role, you will: Own an integrated view of OpenAI’s international performance—spanning countries, regions, and Consumer, Enterprise/API, and Developer businesses—to guide growth, resource allocation, and investment decisions. Partner with regional GMs and functional leaders to shape country strategies spanning Product, Sales, Growth and Brand Marketing, Partnerships, Communications, and Policy. Lead regional financial planning and forecasting, tracking budgets, headcount, capacity, investments, and risks against the company plan. Build and operationalize investment frameworks across markets, channels, and programs, evaluating expected returns, opportunity costs, and tradeoffs to recommend what to fund and when. Create regional and country scorecards and lead regular business reviews that track key metrics, surface risks, drive decisions, and ensure follow-through. Design decision rights and escal

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role OpenAI is seeking to build an investigative capability for Secure Manufacturing & Stealth programs. The risk surface for unreleased products, prototypes, confidential hardware, infrastructure, supply chain, manufacturing, and launch-readiness efforts spans employees, vendors, suppliers, logistics partners, physical movement of assets, procurement records, manufacturing workflows, access systems, device telemetry, and adversarial collection. This role is intended to build and run investigations across that specialized environment. In this role, you will: Lead complex SMS investigations to proactively identify and mitigate risks to unreleased products, prototypes, confidential hardware, secure manufacturing programs, and launch-readiness efforts. Investigate unauthorized disclosure, suspected leaks, insider risk, supplier compromise, vendor misconduct, theft, diversion, tampering, counterfeiting, surveillance, adversarial collection, and suspicious activity involving sensitive programs. Connect digital evidence, physical access activity, supply chain records, manufacturing data, vendor behavior, employee activity, collaboration metadata, procurement records, shipping data, and OSINT into clear findings and risk-reduction actions. Conduct proactive threat hunting to surface early indicators of compromise, collection, leakage, or insider activity affecting sensitive programs. Develop investigative playbooks, evidence-handling standards,

High Performance Workstation Business Development Manager- AMD Description - Sales and Technical Consultant, High-Performance Workstation Segment We are seeking a customer-facing AI and Acquisition subject matter expert role on the HPI Advanced Compute Solutions (ACS) sales team and will focus on growing HP’s Z high-performance workstation Total Addressable Market (TAM) within the AI PC market. This individual will be responsible for working with customers and partners in support of attracting new customers and growth in HP’s high performance compute solutions . The role analyzes market competition, gathers customer feedback, and shares insights with internal teams for improvement. The ideal candidate will possess a breadth of abilities and skills, including client hardware knowledge, AI and machine learning applications and solutions, strong marketing and presentation skills, solid understanding of customers’ business and decision makers, and strong team leadership to drive growth with an emphasis on Advanced Micro Devices (AMD) platforms with customers and partners. Most importantly, the role offers the opportunity to be a business leader in support of the sales teams nationally - contributing to the strategy, setting direction, and achieving success in AMD and HP. The role requires someone to be self-driven, capable of operating autonomously through ambiguity, and constantly striving for excellence. THE PERSON: We seek an individual with exceptional technical & business knowledge and familiarity with AI trends in the PC market. This individual should be comfortable working: Dynamic environment and have experience with PC client and AI hardware, software and systems. Work independently within a core team is important, and you will rely upon your excellent communication and relat

Location Details: Santa Clara, CA At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is an in-office position and you’ll be expected to work full-time in an office location, and therefore must live within commuting distance from your assigned office. You will work from this office beginning on your first day. Join our team Join GoDaddy's Global IT Support team as a Desktop Support Technician in our Santa Clara office, where you'll be the face of IT for employees who rely on technology to do their best work every day. In this hands-on, 100% on-site role, you'll provide walk-up and escalated technical support, troubleshooting hardware, software, workplace technology, and connectivity issues while delivering an exceptional customer experience.You'll collaborate closely with a globally distributed team of support professionals across North America, EMEA, and APAC, helping resolve both everyday technical requests and high-priority incidents in a fast-paced environment. Success in this role is driven as much by your communication, empathy, and problem-solving skills as your technical knowledge, making it an excellent opportunity for someone who enjoys helping people and learning new technologies.If you're passionate about customer service, curious about how technology works, and looking to grow your career in enterprise IT, we'd love to hear from you. What you'll get to do... Provide front-line technical support to employees by diagnosing and resolving hardware, software, operating system, peripheral, and account-related issues, ensuring minimal disruption to productivity. Manage and prioritize incidents and service requests through the IT ticketing system, taking ownership from initial intake through troubleshooting, resolution, and follow-up communication. Configure, deploy, maintain,

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role We are seeking a Director of Digital Employee Experience to lead the strategy and execution of a modern, intuitive, and measurable digital workplace experience for our employees. This leader will own the strategy and technology experience for how employees access the tools, information, services, and support they need to do their best work. The ideal candidate is a systems thinker and cross-functional operator who can connect business needs, employee insights, technology capabilities, service design, and change management. This role will partner closely with IT, People/HR, Security, Workplace, Communications, and business leaders to simplify employee journeys, increase technology adoption, and reduce friction across the digital workplace. What you’ll do Develop and own the employee digital experience vision, strategy, roadmap, and operating model. Drive SoFi’s “Make Work Easier” strategy by identifying and reducing friction across the digital employee experience, making it simpler for employees to find information, access support, and get work done. Map and improve priority employee journeys, including onboarding, internal mobility, hardware/software access, IT and HR support, knowledge discovery, collaboration, and hybrid work experiences. Partner with service owners across IT, HR, Facilities, Sec

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that provide the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing transformative technologies. Our AI Engineering Campus in Austin plays an important role in building the hardware platforms that support the next generation of AI systems. The Opportunity As a Systems Engineering Intern, you will contribute to projects that combine hardware, firmware, and software engineering for advanced AI compute platforms. You will work with experienced engineers on subsystem design, laboratory testing, system validation, automation, and performance analysis. The internship provides hands-on experience with modern hardware development and system-level engineering. You will own clearly defined technical tasks with guidance from the team and document your methods, results, and conclusions. What You Will Do Support the design and testing of CPU and high-speed input and output subsystems for advanced compute platforms. Run laboratory tests and measurements to help evaluate performance, power, signal behavior, and reliability. Contribute to system-level validation by creating scripts and tools that streamline testing, data collection, and analysis. Explore emerging input and output technologies, including PCIe 6.0 and 800G Ethernet, and learn how they support advanced computing workloads. Assist with investigations into platform power, cooling, and energy efficiency, including liquid-cooling systems for high-performance processors. Use power meters, oscilloscopes, logic analyzers, or comparable lab equipment under appropriate supervision. Analyze test results, identify unexpected behavior, and work with engineers to reproduce and investigate issues. Collaborate across hardware, firmware, software, m

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team builds next-generation AI-native silicon and systems while working closely with software, research, and manufacturing partners to co-design hardware tightly integrated with AI models. In addition to delivering systems for OpenAI’s supercomputing infrastructure, the team develops the tools, methodologies, and strategic partnerships needed to accelerate hardware innovation. About the Role We’re seeking an experienced Hardware Strategic Sourcing Manager to own sourcing strategy and supplier partnerships for fiber and optical interconnect components across OpenAI’s next-generation AI infrastructure. Reporting to the Head of Partnerships & Strategic Sourcing, you will lead sourcing across fiber cable assemblies, internal optical harnesses, fiber shuffles, optical backplane assemblies, connectorized and standalone passive optical assemblies, fiber-array units (FAUs), fiber-to-chip and coupling interfaces, detachable connectors, optical routing, and assigned optical packaging, assembly, and test services. You will work closely with electrical engineering, optical engineering, systems engineering, mechanical and packaging engineering, quality, rack integration, data-center deployment,manufacturing, supply chain, finance, legal, and program management teams to translate demanding bandwidth, signal integrity, reliability, and scale requirements into resilient supplier partnerships and scalable commercial strategies. Your work will directly support the performance, reliability, manufacturability, and scale of the high-speed optical connectivity required for OpenAI’s next-generation AI systems. In this role, you will: Develop and execute a comprehensive sourcing strategy for fiber and optical interconnect components supporting high-bandwidth AI systems and infrastructure. Own sourcing across optical fiber cable assembli

Hardware Firmware Engineer — Texas, United States of America. Apply via Workday.

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will develop and evolve the tooling ecosystem that hardware engineers rely on every day — from hardware compilers and IR transformations to simulation, debugging, and automation infrastructure. The work spans software engineering, compiler concepts, and practical hardware workflows, with direct impact on how quickly and effectively we design next-generation AI systems. You’ll collaborate closely with architects, RTL designers, and verification engineers to translate real engineering friction into durable, scalable tooling solutions. In this role you will: Build and improve the software tooling that makes hardware teams faster: compilation, IR transforms, RTL generation, simulation, debug, and automation. Extend and integrate hardware compiler stacks (frontends, IR passes, lowering, scheduling, codegen to Verilog/SystemVerilog) and connect them to real design workflows. Improve developer experience and reliability: reproducible builds, better error messages, faster iteration loops, and dependable CI and regression infrastructure. Work closely with designers and verification engineers to turn real pain points into durable tools. Dive into RTL when needed: read and reason about Verilog/SystemVerilog to debug issues, validate tool output, and improve debuggability. Be willing to go all the way down the stack when necessary, including gate-level views, synthesis results, and implementation artifacts. Help enable PPA optimization loops by building analysis and au

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role As an Engineer on our hardware optimization and co-design team, you will co-design future hardware from different vendors for programmability and performance. You will work with our kernel, compiler and machine learning engineers to understand their unique needs related to ML techniques, algorithms, numerical approximations, programming expressivity, and compiler optimizations. You will evangelize these constraints with various vendors to develop and influence future hardware architectures towards efficient training and inference on our models. If you are excited about efficiently distributing a large language model across devices, dealing with and optimizing system-wide/rack-wide networking bottlenecks and eventually tailoring the compute pipe and memory hierarchy of the hardware platform, simulating workloads at different abstractions and working closely with our partners, this is the perfect opportunity! This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Key Responsibilities Co-design future hardware for programmability and performance with our hardware vendors Assist hardware vendors in developing optimal kernels and add support for it in our compiler Develop performance estimates for critical kernels for different hardware configurations and drive decisions on compute core and memory h