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. Performance Engineer, Inference Engine About the Role Anthropic's inference engine is the software between the accelerator kernels and the routing layer. It manages the entire token path in between: batching requests, laying the model out across chips, managing memory for weights and activations, coordinating every forward pass, and managing model state across requests. Built in-house, it runs on all of our accelerator platforms, serving Claude to millions of users and running our research workloads. You will work on building and optimizing this system at Anthropic scale: improving throughput, cost, reliability, and latency across all accelerator and cloud platforms. You are intimately familiar with the hardware and bandwidth numbers (FLOPs, HBM, PCIe, RDMA, network links, etc.) and can model a problem quickly: where the time and bytes go, and what sets the bound. The role is deeply technical and high-impact, and suits engineers who enjoy working across accelerator programming, high-performance systems that seamlessly coordinate between host and device, and large-scale distributed systems. Familiarity with the transformer architecture is a plus. Some example recurring themes: Keep device utilization high. Accelerators should never be waiting due to other overheads. Reuse instead of recompute. Keep model state cached and reuse it whenever that is cheaper than computing it again. Measure, model, then change. We build the observability to see where the gaps are, model the impact of potential improvements, deploy them, and go around again, with Claude speeding up every turn of that loop. Tokens you can trust. Ensuring model quality matter
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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. As a Senior Engineer, MCT Operations Quality at Micron Technology, Inc., you will lead and collaborate closely with Global Assembly & Test (AT) sites, Global Quality, and various cross-functional stakeholders to drive on Manual Touchpoint Reduction. You will champion a Quality-First mindset by driving manufacturing solutions and end-to-end redesign initiatives to eliminate manual steps upfront that reduce operational error, prevent customer events and enhance product quality across Global AT network. Job Responsibilities: Lead global initiatives and collaborate with AT sites and Global Quality to identify and eliminate high-risk manual touchpoints across Assembly, Test/Post E, Module/SSD, HBM/PWF areas. Conduct onsite validation of the manual touchpoints at the source, identify quality risks, and propose improvements to eliminate the touchpoints. Collaborate with subject matter experts and drive the development and deployment of scalable solutions through physical automation/robotics, system automation, and Predictive Quality & Generative AI-enabled solutions. Collaborate with subject matter experts on end-to-end redesign initiatives to eliminate manual touchpoints upfront. Lead as the central team program governance to drive strategy, ali
What We’re Looking For: We’re looking for an XPU Architect to own the XPU compute engine architecture of the A-0 and A-1 systems. This will initially involve heavily leveraging existing 3rd party IP, but in a creative way to solve the bandwidth demand challenges and memory system interface challenges. Future generations of the compute XPU will be semi-custom and custom designs. Ideal Background: An ideal candidate will have: Previous experience architecting and owning a high performance, high TDP ASIC (eg AI chips, network switch chips, high performance CPUs or similar) Knowledge of both computer architecture but also silicon implementation, and understanding of the realistic constraints that silicon implementation places upon architectural options Deep understanding of AI workloads, especially low latency LLM inference Understanding of workload and system level bottlenecks, especially around inference, as it pertains to interconnect, memory capacity, bandwidth, latency, etc. Strongly Preferred: Hands-on experience with AI chip architecture and tapeouts End to end ownership of at least one AI ASIC project History of product delivery (regardless of ultimate commercial success of said product) Experience with HBM-based AI chip architecture Experience in proposing “weird” chip architectures (in any domain, not just AI!)
About the Team OpenAI’s Hardware organization is building the infrastructure foundation for frontier AI systems. The Supply Chain organization is responsible for enabling scalable, resilient, and efficient supply chains across custom silicon, systems, networking, memory, storage, and rack-scale infrastructure. The Supply Chain Program Manager (SCPM) drives end-to-end material readiness and supply chain execution across the hardware lifecycle, from early architecture and sourcing strategy through production ramp and sustaining operations. We are looking for experienced supply chain leaders who can operate across technical, commercial, and operational domains to ensure material readiness, supply continuity, and execution excellence for complex AI hardware programs. About the Role As a Supply Chain Program Manager, you will own material readiness and supply chain execution for critical hardware programs spanning custom silicon, systems, memory, storage, networking, and rack infrastructure. You will work cross-functionally with Engineering, Strategic Sourcing, Manufacturing Operations, Finance, Planning, Quality, and external suppliers to develop and execute scalable supply strategies that support aggressive product development and deployment timelines. This role requires deep understanding of hardware supply chains, material planning, NPI execution, supplier management, and operational scaling in constrained and rapidly evolving environments. Responsibilities Material Readiness & Supply Planning - Own end-to-end material readiness across NPI and production phases, including building the necessary framework and processes for enablement. Drive supply planning and execution for long lead-time and constrained commodities including ASICs, HBM, DDR, SSDs, networking, optics, power, thermal, and mechanicals. Build and manage material readiness plans aligned to proto/pre-EVT, EVT, DVT, PVT, and mass production schedules. Monitor supply health, lead times, inventory positio
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