Systems Administrator in United States

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. Job Summary We are seeking a motivated engineer to join the DRAM Systems Engineering team, focusing on the development, evaluation, and optimization of next-generation memory systems for AI accelerators. This role emphasizes research and development across hardware architecture, operating systems, and performance analysis to support Agentic AI inference workloads. If you are ambitious and eager to make an impact in the exciting world of AI and memory systems, this is the perfect opportunity for you! Responsibilities Characterize AI inference workloads and examine memory behavior Build and evaluate tiered memory hierarchies for AI accelerators Study KV cache lifecycles, MoE models, and data placement strategies Compare and optimize explicit versus hardware-assisted data movement Develop, test, debug, and detail system-level and OS components Prototype and evaluate agentic AI systems by building agents and multi-agent workflows using modern frameworks and orchestration patterns (planning, tool use, memory, and context management). Apply these technologies both as workloads under study and as accelerators for internal engineering workflows <h2 style="color:!importan

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: A senior engineering professional who independently applies advanced knowledge to complete complex assignments, who leads the design and development of complex software code, unit tests and integration tests for a subsystem. MAIN RESPONSIBILITIES • Leads, is accountable for, and serves as the technical subject matter expert for the engineering design and implementation for one or more software features, identifying process issues and recommending corrective measures. • Defines feature evolution, branching, integration and deployment strategy. • Defines structure of the source code files. • Ensures successful integration. • Implements hardware/interface simulation. • Analyzes user needs, product requirements, software requirements and provides input to stakeholders Education Level Major/Field of Study or Equivalent: Bachelors Degree (± 16 years) Experience/Background Minimum 6 years Minimum 6 - 12 Years of experience The base pay for this position is $99,300.00 – $198,700.00 In specific locations, the pay range may vary from the range posted. JOB FAMILY: Product Development DIVISION: ONCO Cancer Diagnostics LOCATION:<

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. We are looking for an outstanding Compiler Engineer to help build the next generation of intelligent compiler technologies for NVIDIA's accelerated computing stack. Our team works at the intersection of compilers, agentic systems, numerical correctness, and verification to create systems that can reason about, generate, optimize, and validate code transformations across software and hardware boundaries. This is an excellent opportunity for new graduates who are excited about coding agents, AI-assisted software engineering, developer tools, and GPU computing. In this role, you will work with experienced engineers and researchers to build agentic systems and compiler-aware tooling that improve developer productivity, code quality, and system performance across NVIDIA's software and hardware stack. What you'll be doing: Build and improve coding-agent systems for tasks such as code generation, transformation, debugging, optimization, validation, and developer assistance. Develop agent workflows involving tool use, planning, memory, execution, and feedback loops for software engineering and compiler-related tasks. Help create training, evaluation, and verification environments to improve agent quality, correctness, r

Work Flexibility: Hybrid or Onsite Stryker is seeking a dynamic and visionary product development leader with a proven track record of leading large, complex product development programs through the application of systems engineering principles. As the technical quarterback, this individual will drive alignment, collaboration, and execution across a multidisciplinary global product line, ensuring teams work cohesively toward shared objectives while delivering innovative solutions that improve patient care. As medical technologies continue to evolve, our products must operate seamlessly within broader healthcare ecosystems and enabling technology platforms. This leader will be responsible for defining and overseeing system-level architectures, ensuring robust integration across hardware, software, data, connectivity, and partner technologies. They will champion a systems-thinking approach, proactively identify opportunities and risks, and ensuring our products deliver a seamless user experience while supporting the future needs of a connected healthcare environment. The ideal candidate combines deep technical expertise with exceptional leadership, influencing stakeholders across functions, geographies, and organizational levels to bring complex systems and product visions to life. https://www.stryker.com/us/en/nse.html What You Will Do Lead system architecture, technical strategy, and integration activities for complex medical device products and platforms. Translate customer, clinical, and business needs into system-level requirements and drive alignment across software, electrical, and mechanical engineering teams. Lead requirements development, allocation, traceability, and verification planning thro

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. The Director, Finance Systems will lead the strategy, architecture, implementation, and ongoing evolution of the systems and technology that enable Finance to operate effectively at scale. This leader will partner across Finance, Accounting, Tax, Treasury, Operations, IT, HR, and other business functions to build an integrated, automated, and data-driven Finance technology ecosystem - ensuring we are using the right tools and workflows, leveraging automation and AI where appropriate, to operate lean without sacrificing rigor. This role is ideal for a finance-minded technology leader who understands that great systems are not simply implementations—they are the foundation for scalable processes, reliable data, strong controls, faster decisions, and an increasingly AI-enabled Finance organization. This role is remote, based out of the United States or Toronto, ON. 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 bring a deep understanding of finance and accounting processes, paired with expertise in technology, data, and systems. You are comfortable discussing financial close, revenue recognition, inventory accounting, and financial pla

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 We are looking for an experienced Mechanical Engineer with 7+ years of experience in design of IT hardware from chip/package to system levels. You’ll work alongside experts in thermal, mechanical, electrical, software, and systems engineering to support the design, analysis, and validation of mechanical and thermal systems that ensure the reliability, efficiency, and longevity of mission-critical hardware. This position requires strong analytical skills, hands-on testing experience, and the ability to work in a fast-paced, cross-disciplinary environment. 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: Lead mechanical design for AI supercomputer product in the data center application Collaborate with the cross functional team to design and optimize thermal solutions for data center hardware, including chips, power modules, and system-level cooling architectures Collaborate with cross-functional teams to integrate thermal management strategies into hardware design, from concept to mass production Design and validate mechanical systems, including chassis, enclosures, cooling systems, and high-power connections, ensuring alignment with performance and reliability standards. Perform 3D modeling, FEA, tolerance analysis, and prototyping, ensuring manufacturability and a

About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model-powered scaled automated workforce and knowledge system that evolves and learns alongside a human workforce. By leveraging OpenAI’s state-of-the-art models and technologies, some already in production, others still in the lab, we develop systems that reason and work autonomously for a wide variety of operational work. We leverage real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and more in order to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds. We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. About the Role We are looking for a hands-on Engineering Manager to lead a small, fast-moving team building AI-powered automation systems that redefine how work gets done across OpenAI. This role sits at the intersection of applied AI, research, and product engineering. You’ll lead a team that builds systems that know how to learn from humans, and carry real workloads across, sales, support, finance, IT, and more, while staying deeply involved in the technical work. You will operate in a highly iterative environment, deploying systems directly to internal users, gathering rapid feedback, and evolving solutions in real time. This is a high-ownership role for someone excited about building 0→1 systems, working closely with customers, and shaping how AI transforms operational wor

About the Team OpenAI's Industrial Compute organization is building and operating the infrastructure foundation for the next generation of AI. Infrastructure Operations works across facilities, hardware, network operations, incident management, data center engineering, delivery teams, and external partners to bring capacity online safely, understand its operational state, and improve it over time. As OpenAI's data center portfolio grows across first-party and partner-delivered capacity, the organization needs clear goals, trusted data, repeatable processes, and systems that make ownership, risk, readiness, and performance visible. This role will help build the operating mechanisms that allow Infrastructure Operations to scale with rigor. About the Role We are seeking a Technical Program Manager to own the systems, data, reporting, governance, and program-management backbone for Infrastructure Operations. Reporting to the Delivery & Operations Lead, you will translate strategy into executable goals and operating cadences, turn operational needs into software and data solutions, and create the mechanisms that keep a rapidly evolving organization aligned and accountable. This role will also own the current 1P+3P delivery-tracking layer within Operations: milestones, delivery timelines, quantity forecasts, risks, decisions, and executive reporting. You will partner closely with 1P Delivery Program Management, Compute TPMs, Data Center Engineering, construction, commissioning, and operations leaders to ensure that delivery information becomes complete, usable input for readiness, handover, and ongoing operations. You will own program health and the operating system around it: the goals, data definitions, workflows, reporting, decision paths, and follow-through that help functional DRIs execute. The ideal candidate is comfortable in ambiguity, technically fluent enough to implement real systems, and relentless about converting scattered information into durable mechan

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. The Systems Integration team is critical in this mission, turning complex hardware-software development into reliable product signals. Lab Operations is the physical backbone of that work: we build and maintain the device fleets, test environments, and hardware-in-the-loop labs that let teams test repeatably, understand failures, and ship with confidence. About the Role As a Lab Operations Manager, Systems Integration , you will own the day-to-day operation of a large-scale consumer device test lab. This is a hands-on operations leadership role: you’ll keep device fleets, test rigs, lab infrastructure, inventory, provisioning, maintenance, and logistics running smoothly so engineers and QA technicians have reliable environments for validation and release testing. We’re looking for someone who is highly organized, technically hands-on, comfortable with consumer electronics and lab equipment, and experienced operating complex physical test environments at scale. Because this is a new category of devices, you’ll have the opportunity to build the lab operating model early—shaping the systems, standards, and workflows that support products from prototype through launch. In this role, you will: Own device fleet and inventory: Manage configuration, deployment, tracking, lifecycle, and accurate asset records for a large fleet of consumer devices and test

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: We're hiring a Technical Program Manager to lead the systems, data, and process work behind how we bill, recognize revenue, close the books, and prove our controls work. You won't be writing the code or drawing the architecture; you'll be deciding what gets built, in what order, and why it matters. This is a role for someone who wants to understand a business well enough to change how it runs: learning the objectives, processes, and system flows end to end, then shaping them into strategic technical programs with real owners, deliberate sequencing, and decisions that hold up under audit. You'll sit between Finance and Accounting on one side and Engineering, Data, and Product on the other, and you'll be accountable for making new revenue streams operable and auditable, from a pricing model on a slide to a billed invoice, a booked journal entry, and a control that passes testing. You'll report to the Lead Technical Program Manager for Data, Biztech & AI Transformation, within EPD. You'll get high-level direction and clear priorities from your manager, and independent ownership of how the work actually gets delivered

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. You will own the data Vanta's EPD organization actually runs on — bringing new signal sources online, standardizing them at the point of ingestion, and building the systems that make the underlying data trustworthy rather than merely stored. The EPD Systems team is building the infrastructure Vanta's engineering, product, and design organization depends on to understand itself. Not by asking teams to be more diligent but by going to the source, processing it, standardizing it, and pushing value back out so each source of truth earns its own adoption. What you’ll do as a Operations Manager, Signal Systems at Vanta: Bring new signal sources online end to end — from discovery and scoping through ingestion, standardization, and live operation Identify the specific failure modes in each information source and build systems that mitigate them at the point of ingestion Go to the teams that produce and consume a signal, understand what the information actually means and what they need back from it, and build accordingly Replace human-diligence dependencies with engineering solutions: derive fields, pull from source systems, validate at write time Build alongside teammates who are growing into building — raise their technical ceiling, not just your own output Partner with the inference and systems layers to ensure what you produce is queryable, trustworthy, and ready to build on How to be successful in this role: You look at a data source and see its failure modes before its contents: where it lies, where it goes stale, where it's duplicated, where the schema won't hold at 10x Your first move on an adherence problem is an engineering an

Field Applications Engineer, Embedded Systems - NALA — US, CA, Santa Clara. Apply via Workday.

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As the Senior Product Manager, Design Systems at Vanta, you'll own the product strategy and roadmap for how every team builds Vanta's interface. Your mission is to build the horizontal tooling that lets product, engineering, and design teams create consistent, high-quality user experiences faster, so they can spend more of their time on their customers. To be successful, you’ll need to have a high level of product taste and be able to set and hold the line for high quality and easy to use products. All while working closely with your engineering and design manager partners. You'll be part of Vanta's Platform organization, which builds the foundational primitives and craft layer the rest of the product is built on. This is the first dedicated Design Systems PM role at Vanta, so you'll help shape the function itself, not just the roadmap. It's a high-autonomy, highly cross-functional role at the center of how Vanta looks, feels, and scales. What you’ll do as a Senior Product Manager, Design Systems at Vanta: Own the vision and roadmap for the frontend, spanning the design system and the front-end platform, and ladder durable platform investments to company initiatives so design and engineering can focus on customers. Evolve our design system from a broad component library into smaller, composable building blocks with consistent APIs, including making components first-class for AI and LLM-driven experiences. Drive accessibility and internationalization programs to their committed milestones, including global-scale localization and meeting accessibility standards. Partner with our AI team to enable the agentic patterns product team

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta's Design Systems team is the foundational layer that powers visual consistency, design quality, and engineering velocity across all of Vanta's product surfaces. We build and maintain Vanta's shared component library (Alpaca), design tokens, interaction patterns, and documentation, enabling product designers and engineers to ship high-quality, cohesive experiences at scale. As Vanta grows across GRC, Trust, and new product areas, and as AI and agentic experiences become a first-class part of the product, Design Systems is increasingly responsible for a harder problem than static component consistency: building a system that can flex for AI-driven, runtime-composed UI and agent chat and canvas experiences, without losing the craft and coherence that makes Alpaca trustworthy across the org. This role sits at that intersection. You'll help define how a design system stays foundational when the product itself is becoming more dynamic and model-aware. What you’ll do as a Staff Product Designer at Vanta: Lead the strategy, evolution, and execution of Alpaca, ensuring it scales with the needs of a rapidly growing, increasingly AI-driven product organization Extend the design system to support AI and agent product patterns, including agent chat and canvas experiences and components that need to adapt based on runtime or model context Partner with product designers and engineers across every product team to define, document, and ship new components, patterns, and guidelines Establish and evolve governance models, contribution frameworks, and quality standards that let every designer at Vanta build consistently, including for AI-nat

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta's Corporate Engineering team is the infrastructure layer that keeps 1,500+ people connected, secure, and moving fast. This role leads the shift from a reactive support function to a platform function the whole company relies on. Corporate Engineering owns the systems, tooling, and access infrastructure Vanta runs on. From identity and device management to AI tooling infrastructure and ITSM, CE makes sure Vanta's people have the right access, the right tools, and the right guardrails on day one and every day after. CE is at an inflection point. The company has scaled quickly, AI tooling is live company-wide, and the team is ready for a leader who sets technical direction, establishes clear ownership, and builds the leadership layer beneath them. As Sr. Manager, Systems Engineering, you will lead a team of experienced engineers, own several of the company's highest-priority platform initiatives, and make CE a function the rest of Vanta builds on rather than routes around. What you’ll do as a Senior Manager, Systems Engineering at Vanta: Lead, coach, and grow a team of systems engineers and a tech lead. Set clear expectations, hold a high bar, and develop the people who build Vanta's most critical internal systems. Own joiner, mover, and leaver automation end to end in Okta Workflows, so access is correct on day one, follows people through role changes, and closes completely on departure, including API keys and service credentials. Build and own device assurance across macOS and Windows, defining OS, browser, and device-state policy ahead of enforcement rather than in response to it. Rationalize the ITSM estate so self-servi