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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 Heterogeneous Integration Group (HIG) within Micron's Technology and Products Group (TPG) leads the development of High Bandwidth Memory (HBM) solutions for AI and ML applications. Our modern designs use Through Silicon Via (TSV) technology. We stack multiple DRAM chips on a high-speed memory controller with a coordinated logic chip in one package. This new way improves memory density and bandwidth through parallelization. It aims to deliver the lowest power per bit solutions in the industry. You will join an inclusive, forward-thinking team dedicated to building technologies that power virtual reality, neural networks, and next‑generation computing. In this role, you will own design for test (DFT) solutions for complex high‑bandwidth memory (HBM) system‑on‑chip (SoC) base‑die designs. Your work will directly enable manufacturability, quality, and successful silicon bring‑up across current and future HBM generations. (LLM) Responsibilities will include, but are not limited to: Own SoC-level DFT structures and their implementation. This includes scan, memory built-in self-test (MBIST), logic built-in self-test (LBIST) where applicable, boundary scan (JTAG), and test access architectures for HBM base-die builds. Define and drive DFT architecture early in the design cycle, ensuring alignment with SoC integration, floorplanning, timing, power, and physical design requirements. Implement and integrate DFT logic at block, subsystem, and full‑chip levels while partnering closely with register‑transfer level (RTL) d

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. Micron Technology is a global leader in memory and storage innovation, accelerating the transformation of information into intelligence. The High Bandwidth Memory (HBM) Heterogeneous Integration Group (HIG) develops advanced memory solutions that power next-generation Machine Learning (ML), Artificial Intelligence (AI), and high-performance computing applications. Our team brings together experts across design, validation, manufacturing, test, and quality to deliver industry-leading products through a highly collaborative and innovative environment. As a Design Validation Product Engineer, you will play a critical role in the development and validation of next-generation HBM products from design through qualification and high-volume manufacturing. This position provides the opportunity to work at the intersection of semiconductor design, silicon validation, hardware and software debugging, and data analysis while collaborating with multi-functional teams around the world. The level of responsibility will be aligned with a combination of education, experience, and demonstrated technical capabilities. Responsibilities Develop expertise in JEDEC HBM specifications, internal architecture documentation, and HBM design schematics and layouts. Perform silicon validation and characterization of HBM products using laboratory equipment, circuit simulations, debugging techniques, and data analysis. Collaborate closely with Product Engineering, Design, Manufacturing, Test, Quality, and other multi-functional teams to id

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. Micron Technology is a global leader in memory and storage innovation, accelerating the transformation of information into intelligence. The High Bandwidth Memory (HBM) Heterogeneous Integration Group (HIG) develops advanced memory solutions that power next-generation Machine Learning (ML), Artificial Intelligence (AI), and high-performance computing applications. Our team brings together experts across design, validation, manufacturing, test, and quality to deliver industry-leading products through a highly collaborative and innovative environment. As a Design Validation Product Engineer, you will play a critical role in the development and validation of next-generation HBM products from design through qualification and high-volume manufacturing. This position provides the opportunity to work at the intersection of semiconductor design, silicon validation, hardware and software debugging, and data analysis while collaborating with multi-functional teams around the world. The level of responsibility will be aligned with a combination of education, experience, and demonstrated technical capabilities. Responsibilities Develop expertise in JEDEC HBM specifications, internal architecture documentation, and HBM design schematics and layouts. Perform silicon validation and characterization of HBM products using laboratory equipment, circuit simulations, debugging techniques, and data analysis. Collaborate closely with Product Engineering, Design, Manufacturing, Test, Quality, and other multi-functional teams to id

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. We are part of the Heterogeneous Integration Group within Technology and Products, where we build High Bandwidth Memory solutions that power AI and ML platforms. Our team works at the edge of what’s possible, stacking and integrating advanced silicon technologies to deliver industry‑leading bandwidth, density, and power efficiency. We move fast, solve hard problems, and set technical direction others follow! This role sits at the center of next‑generation HBM development. As a senior SI/PI technical authority, you will shape system‑level decisions that directly impact performance, reliability, and scalability across multiple product generations. If you enjoy deep technical ownership, complex problem solving, and influencing architecture from concept to sign‑off, this role offers both challenge and impact. This role supports the design and deployment of AI-enabled solutions that improve efficiency and decision-making. Responsibilities: Lead signal integrity channel analysis for 2.5D and 3D silicon interposers, including frequency‑ and time‑domain evaluation Define and drive power delivery architecture, impedance targets, and transient analysis Perform electromagnetic extraction and modeling across PCB, package, and interposer designs Establish SI/PI standards, methodologies, and sign‑off criteria for HBM system designs Provide clear technical direction in ambiguous or incomplete design environments Minimum Qualifications: 7 years of experience in

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . We're hiring a Senior Staff Software Engineer, Native Mobile to join the App Infra team within the Consumer & Business group as a technical architect for Coinbase's native mobile future. This is the most significant client platform shift in the company's history, replacing the React Native app with native Swift and Kotlin builds for millions of customers. Coinbase mobile engineers will be expected to support both iOS and Android on their teams using AI-driven agentic translation at unprecedented scale. You'll own outcomes spanning the App Infra team and our ~30 product teams, set our architectural patterns, and relentlessly drive Coinbase towards a novel, world-class mobile development experience. What you'll do: Define the technical strategy to make the native app development future at Coinbase a reality. Lead the AI-assisted migration approach, designing reusable AI-automation paradigms such as agent swarms, automated dual-repo synchronization, and continuous improvement of translation efficiency using automated feedback loops. Architect a paved-road native framework in Swift and Kotlin that sets the architectural bar across teams, unlocking the ability for a single mobile contributor to be productive in both iOS and Android codebases simultaneously. Drive organizational readiness as a trusted cross-functional partner with product, design, and engineering leade

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . We're hiring a Senior Software Engineer, Native Mobile to join the App Infra team within the Consumer & Business group. This team is executing a greenfield rewrite of Coinbase's retail mobile app from React Native to native Swift and Kotlin, using AI-assisted code generation to deliver a dramatically faster, higher-quality experience for millions of customers. You'll bring deep iOS or Android expertise to build core app surfaces, contribute to the design of Coinbase’s native mobile agentic workflow, and contribute to the foundation of Coinbase’s future mobile platform as product teams onboard to the native codebase. What you'll do: Accelerate every other Frontend engineer at Coinbase by defining architectural patterns, improving build speeds, and defining optimal development workflows. Own the development of core app surfaces in Swift and Kotlin, translating existing React Native flows into performant native implementations that meet strict performance budgets, and setting the project-level quality bar through code and design reviews. Build within the AI-assisted code generation loop, orchestrating AI as a force multiplier by leveraging LLM-driven translation while applying native mobile expertise to validate architecture, catch edge cases, and ensure production-quality outputs. Partner with product teams during onboarding to review native PRs, challenge suboptim

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Software Engineer on the CDP Foundations team within the Developer group, you'll build the core platform capabilities that enable businesses to launch and scale crypto products. The CDP Foundations team's three pods, Portal and Platform Services, Custodial Foundations, and Fully Disclosed Onboarding and Eligibility, own the foundational experiences and primitives spanning the developer portal, shared customer services, custodial accounts and taxes, and KYC/KYB onboarding and eligibility APIs. You'll design and ship the backend services and APIs that make it easier for partners and their customers to securely access Coinbase's crypto infrastructure. What you'll do: Build, deploy, and maintain scalable, secure, and high-performing backend services in a microservices and distributed architecture Define internal and customer-facing APIs that serve as the building blocks for CDP, prioritizing clean design and a high-quality developer experience Lead end-to-end delivery of features from implementation through deployment and monitoring Strengthen operational excellence across the team by proactively addressing technical debt and driving improvements in reliability and observability Participate in code reviews and on-call rotation, lead incident response, and foster a team environment that welcomes constructive feedback to maintain high code quality standards Required S

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 team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Within Security GRC, Compliance & Audit Programs runs the integrated audit across our frameworks and maintains the Common Control Framework, the single set of controls that the whole program is built on. This role sits in Audit & Assurance and owns the framework and the assurance view across every control domain. About the role As part of the Security Audit & Controls team, you will own the CCF across every control domain, from access and change management to logging, encryption, and people controls: which controls we have, what each one says, how each maps to the frameworks and commitments we hold, and whether each one is actually working. You'll work with control owners and GRC Partners to draft and validate control descriptions and activities that describe reality rather than policy intent, build the monitoring that shows operating effectiveness continuously instead of once a year, and drive what monitoring finds to closure with control owners. Building with Claude is a normal part of the job: drafting and mapping controls, testing evidence, and monitoring control he

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity The Data, Identity, & API Platform group at New Relic builds the foundation for all of our products: data ingest, storage, and query. As an engineer working on NRDB, you’ll be contributing directly to the proprietary telemetry database technology at the core of our business. We own our software from top to bottom and are directly responsible for its quality and reliability. Each member of the team shares our pager rotation and will occasionally be on-call to respond to system failures; so we prioritize work that keeps the lights on and the pager quiet, in addition to the work that powers all of our new products and streams of data. If the idea of working on systems that process millions of messages per second and handle petabytes of data excites you, then you may be an excellent fit! What you'll do Own the New Relic query gateway stack Proactively participate in cross-functional committees to move the query gateway forward, ranging from collaborations with AI, Visualizations, and Data Processing teams. Build and maintain scalable distributed Java services and Petabyte-scale Infrastructure. Investigate and resolve critical performance, availability, and resiliency issues and risks in a multi-region, multi-cloud, multi-tenant distributed database. Working in an agile environment with a DevOps approach — the team builds and maintains their own software, including taking turns with being on-call. This role requires 3+ years of experience in collaborativ

About Graphcore How often do you get the chance to build a technology that transforms the future of humanity? Graphcore products have set the standard in made-for-AI compute hardware and software, gaining global attention and industry acclaim. Now we are developing the next generation of artificial intelligence compute with systems that will allow AI researchers to develop more advanced models, help scientists unlock exciting new discoveries, and power companies around the world as they put AI at the heart of their business. Graphcore recently joined SoftBank Group – bringing large and ongoing investment from one of the world’s leading backers of innovative AI companies. Job Summary We are seeking an experienced Site Reliability Engineering leader to build and lead a new SRE organization responsible for the production operation of a rapidly scaling AI supercomputing platform. The environment combines highly customized compute, high-performance networking, storage and supporting infrastructure, and will grow through multiple phases of deployment. This is a rare opportunity to establish the reliability function for a new platform from the ground up. The platform and its operational model are being developed in parallel and will ultimately support a 24x7x365 production service with stringent availability requirements. You will take the SRE organization from initial formation through production launch, stabilization and scale. This includes hiring and developing the team, defining the operating model, establishing production readiness and incident-management practices, and ensuring reliability and operability are engineered into the platform from the outset. SRE is responsible for the operational capability required to run the platform reliably in production, while partnering with engineering teams that remain accountable for the reliability and operability of the systems they build. This is not a purely managerial position. During the development and early production p

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 Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. The RL Scaling team works on how RL scales: what happens to throughput, stability, and learning efficiency as models get larger, episodes get longer, and compute grows by orders of magnitude, and what has to change in our algorithms and systems to keep getting returns from that scale. This role sits squarely across research and engineering. You'll develop next-generation architectures and RL algorithms, take them from a small-scale result to a frontier-scale run, and understand every place they behave differently along the way. You'll build the systems that set how fast the team can iterate: how many experiments, at what scale, and how quickly we can trust the results. And you'll work on Anthropic's largest and fastest RL runs, where the gap between a good idea and a working one is often a problem no one has solved yet. Key responsibilities Study how RL training and sampling scale with model size, context length, and compute, and find the algorithmic and systems changes that keep scaling efficient Develop next-generation model architectures and RL algorithms, and make them run efficiently at frontier scale Take promising small-scale results to frontier-scale runs, and diagnose why they behave differently when they get there, whether the cause is numerical, algorithmic, or systemic Build the experimental infrastructure that sets research velocity: fast, reproducible comparisons of architecture and algorithm variants at meaningful scale Own end-to-end performance of our largest RL runs, from research code down to th

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 Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is an unusually demanding distributed system. Training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts, exchange data continuously, and have to keep making progress while hardware fails, load shifts, and the research changes underneath them. How well that system holds together determines how much of our compute turns into learning, and how quickly the team can try the next idea. As a Research Engineer on the Distributed Systems team within RL Engineering, you'll work on whatever part of that system is the current limit. That might be scheduling and placement, data movement between components, running large numbers of sandboxed environments, storage and checkpointing, networking, fault tolerance, autoscaling, or the observability that tells us what a run is actually doing. We're looking for generalists: engineers who can move between these layers, reason from first principles about a system they haven't seen before, and pick the problem that matters most rather than the one closest to their prior experience. Our system changes as fast as the research does, correctness under failure matters as much as throughput, and the best solutions often come from understanding the ML workload well enough to know which guarantees it actually needs. Strong candidates have built and run large distributed systems, care about getting the details right, and want to apply that experience to a workload that is very large, very heterogeneous, and changing

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 Data Center Security Engineering (DCSE) secures Anthropic's data center footprint; this role covers how the sites are designed and built to be secure. Much of that footprint is designed and built with partners, so a site's security is decided early: in what Anthropic hands the people who build it, and in how rigorously the delivered systems are tested against it. You'll design and specify the physical security systems for a site: perimeter and vehicle barriers, intrusion detection, video, security lighting, and the site penetrations and utility entry points that bypass them. Design firms and integrators produce the site drawings and install; you specify, review, and verify. You'll write the performance requirement and verification method behind each control, review every site design against them at each stage with redlines a design team can act on, test in the field that what was built performs as specified, and re-verify post-acceptance changes. This is a foundational role. You'll own Anthropic's physical security reference design package (typical details, reference drawings, schedules, and test procedures) in the form partners build from, and keep it current against each site's threat basis and the sites actually being built. You'll set the technical position for a site and decide what applies where; where a requirement can't be met as written, you'll engineer the compensating control and document the deviation. You'll work with the rest of DCSE, with Anthropic's design, construction, and real estate counterparts, and directly with the vendors who build to the package. We use Claude throughout our engineering workflow

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's go-to-market engine runs on Salesforce: how leads become pipeline, how deals are tracked and forecast, how customers renew and expand, and how partners work alongside our sellers. As a Business Systems Analyst, you'll be responsible for how one of those core motions is represented in system, and a trusted partner to GTM leadership when they want to change how it works. We're looking for someone who operates at the intersection of three things: a strategist who can sit with GTM leaders and shape how they want to understand their part of the business, an analyst who can turn that into rigorous process and data design, and a builder who's comfortable enough in Salesforce to ship meaningful parts of it themselves. You can move fluidly between whiteboard, requirements doc, and admin console. You'll partner deeply with RevOps on the operating model and with our Salesforce developers on anything that needs code. Where you might sit We're hiring across several parts of the customer lifecycle. Placement depends on your background and where you can have the most impact. Opportunity Acceleration: Owns how deals are tracked, forecast, and credited in Salesforce, from stage design and forecasting to the ownership and team structures behind them. You'll partner with sales leadership to make pipeline something everyone can trust and sellers can work quickly. Lead-to-Pipeline: Owns how leads, inbound demand, and BDR outreach become qualified pipeline: lifecycle stages, routing and ownership, handoff rules, and the tools BDRs and sellers work in every day. You'll partner with BDR, marketing, and sales leadership to make the

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 We are seeking an experienced public opinion researcher to build and expand Anthropic's in-house polling and research function. This role will be fundamental to understanding how key audiences — from policymakers and third-party groups to the general public — perceive and respond to Anthropic's policy positions, messages, and campaigns. This is a foundational role: you'll establish the research function from the ground up, with high autonomy and limited precedent. The Central Policy team sits at the operational heart of Anthropic's policy function — distinct from government relations and communications, but essential to enabling both. You'll work cross-functionally to ensure our policy and communications strategy is grounded in a rigorous understanding of stakeholder sentiment. The polling insights you generate will directly feed into high-visibility campaigns and will be a key asset in our policy efforts in Washington and beyond. Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about the safe development of AI systems and build partnerships with governments through proactive, opinionated, substantive policy conversations. This role offers a unique opportunity to be at the forefront of AI policy, bringing rigorous research discipline to policy strategy. Success in this role means establishing trusted relationships with leading polling firms around the world, delivering high-quality research on a regular cadence, and becoming the internal expert on how key audiences perceive AI, Anthropic, and Anthropic's positions and messages. You'll translate polling insights into strate