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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

Join Cluster Scalability, one of MongoDB's Online Transaction Processing teams, and help build the core infrastructure that makes MongoDB a world-class distributed database. The team builds the infrastructure and tools that let customers scale their workloads past what a single node can handle. We take pride in building clean abstractions over hard distributed systems problems, so users can focus on their data instead of worrying about where it lives or how it's accessed. Our work has a big impact: it solves the hardest data challenges faced by MongoDB's largest customers. As a Senior Software Engineer on Cluster Scalability, you'll work on data partitioning, one of the hardest and most impactful problem areas at MongoDB today. You'll collaboratively design and build the distributed machinery that turns independent query-processing and storage nodes into a single, unified database system. Your team’s work will be to build the data-movement and dynamic-scaling features that run on top of it. Current work includes seamless horizontal scaling with minimal tradeoffs, better cluster elasticity and smarter workload execution. You'll solve complex performance problems and design protocols for moving and placing data without disruption. Your work will help the architecture scale reliably to meet customer demand at any volume. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies distributed systems fundamentals to deliver core features of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators. This role can be based remotely in British Columbia or Ontario, Canada. Candidate Profile 5+ years of experience building distributed systems Experience with building production-level code with a large user base, robust design structure and rigorous code quality, written in C++. Degree in Computer Science or similar field,

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: Lead HVM photo/overlay metrology yield, quality, productivity, and cost improvement initiatives Resolve complex photo/overlay metrology issues through data‑driven root‑cause analysis Define and deploy photo/overlay metrology Best Known Methods (BKM) across fabs for HVM and NPI Act as the technical point for cross-fab, complex photo/overlay metrology customer concerns Drive MOR–POR gap closure and cross‑fab/node alignment in collaboration with internal teams and suppliers Influence key suppliers and represent OCT in reviews, workshops, and governance forums Job Requirement and Qualifications: BS/MS/PhD in Electrical Engineering, Physics, Materials Science, Chemical Engineering, or related field 5+ years (Senior) or 8+ years (Principal) experience in semiconductor photolithography in NPI/HVM manufacturing Strong hands-on experience in photo/overlay metrology engineering (yield, quality, productivity, cost improvement) Proven experience in solving challenges involving overlay, CDU, metrology, reticle correction, MMM, destack, and yield matching Experience defining and deploying Best Known Methods (BKM) across tools, nodes, or fabs Ability to act as a technical point of contact for blocking issues and lead problem solving involving multiple functions Strong data-driven approach and communication skills; comfortable working with

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 the Director, OMT PEE PH at Micron, you will have the outstanding opportunity to drive innovation and excellence in our engineering processes. This pivotal role involves coordinating the performance of critical metrics to achieve world-class results. Your leadership will be essential in managing new technology startups, transfers, and providing technical support to achieve benchmark performances in safety, yield, continuous improvement, and cost management. Key Responsibilities: Establish and continuously improve critical performance metrics to ensure flawless operations. Coordinate new tech-node equipment installation and release strategy. Implement effective manufacturing technology transfers. Develop and complete risk mitigation plans for pilot line and ramp activities. Drive Tool of Record/Process of Record gap closure to mitigate ramp risks. Manage yield ramp and volume ramp projects, ensuring accurate handling of Time To Mature and Yield, Tool Install Qualification, and Non-Conforming Die issues. Collaborate with R&D, Procurement, and suppliers to resolve manufacturing issues and establish improvement roadmaps. Foster collaboration across various departments including Manufacturing, Process Integration, Quality, Business Units, and external suppliers. Lead teams in adopting AI-enabled ways of working, ensuring responsible and ethical use of AI technologies. Requirements: Proven tr

About the Role In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies such as Vast, Weka, Ceph, and Lustre, and solve the complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations. You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale. Day-to-day, you’ll optimize end-to-end data paths for 10-50 GB/s per node, design multi-tier caching architectures, implement intelligent prefetching and model-weight distribution, and tune parallel filesystems for AI workloads. Responsibilities Architect and implement the technical strategy and storage roadmap for Together AI, driving high-performance architectural decisions as we scale our GPU fleet. Engineer and scale multi-petabyte AI/ML storage systems by integrating Vast, Weka, and Ceph while executing deep cost optimization through automated tiering and lifecycle policies. Develop intelligent caching and tiered storage architectures to achieve extreme IOPS and cluster-wide throughput at GPU scale for training and inference workloads. Tune storage isolation at the L2/L3 network layers to ensure secure, production-grade multi-tenancy for storage clients. Code Kubernetes storage operators and controllers to enable automated provisioning, self-service abstractions, and quota enforcement. Engineer end-to-end data paths to achieve 10+ GB/s per GPU node; architect multi-tier caching for model weights and datasets; tune parallel filesystems using advanced profiling; and scale storage infrastructure across thousands of nodes. Optimize end-to-end data paths through advanced

MongoDB powers mission‑critical workloads for customers who expect their data to be durable, highly available, and fast to access. The Storage Execution team builds the core infrastructure that makes those guarantees real. We are hiring a Senior Engineering Manager to manage the largely New York-based Storage Execution team. This is a hands-on leadership role for someone who is obsessed with customer success, takes the responsibility of durably storing customer data seriously, and has strong empathy for both their team and our users. This role can be based remotely in Ontario, Canada. About the Storage Execution team The Storage Execution team sits at the heart of MongoDB’s Online Transaction Processing (OLTP) team. We own the core transactional read/write path on each node, across both today’s storage engine and a next‑generation cloud-native storage architecture. Our work determines how correct and performant MongoDB is for customers running mission-critical production workloads. The team’s responsibilities include: Defining and maintaining the internal collection and index APIs used by Replication, Query and Catalog modules, and commands for local reads and writes, plus the transaction and durability primitives that govern visibility, conflict resolution and crash recovery Integrating the next generation of MongoDB’s storage architecture into the server in a way that is predictable for other teams, scales with cloud elasticity, and preserves the performance and safety of the classic configuration Improving transaction processing speed and semantics of both single shard and cross-shard transactions Owning index builds and schema‑level storage operations (build/rebuild, cleanup, resumability) and ensuring they behave well for large, highly available clusters running write-heavy workloads Building validation, diagnostics, and storage‑focused test infrastructure to catch durability issues early and keep the system trustworthy at scale Partnering with neighboring team

MongoDB powers mission‑critical workloads for customers who expect their data to be durable, highly available, and fast to access. The Storage Execution team builds the core infrastructure that makes those guarantees real. We are hiring a Senior Engineering Manager to manage the largely New York-based Storage Execution team. This is a hands-on leadership role for someone who is obsessed with customer success, takes the responsibility of durably storing customer data seriously, and has strong empathy for both their team and our users. This role can be based remotely in the United States. About the Storage Execution team The Storage Execution team sits at the heart of MongoDB’s Online Transaction Processing (OLTP) team. We own the core transactional read/write path on each node, across both today’s storage engine and a next‑generation cloud-native storage architecture. Our work determines how correct and performant MongoDB is for customers running mission-critical production workloads. The team’s responsibilities include: Defining and maintaining the internal collection and index APIs used by Replication, Query and Catalog modules, and commands for local reads and writes, plus the transaction and durability primitives that govern visibility, conflict resolution and crash recovery Integrating the next generation of MongoDB’s storage architecture into the server in a way that is predictable for other teams, scales with cloud elasticity, and preserves the performance and safety of the classic configuration Improving transaction processing speed and semantics of both single shard and cross-shard transactions Owning index builds and schema‑level storage operations (build/rebuild, cleanup, resumability) and ensuring they behave well for large, highly available clusters running write-heavy workloads Building validation, diagnostics, and storage‑focused test infrastructure to catch durability issues early and keep the system trustworthy at scale Partnering with neighboring te

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: Lead HVM photo/overlay metrology yield, quality, productivity, and cost improvement initiatives Resolve complex photo/overlay metrology issues through data ‑ driven root ‑ cause analysis Define and deploy photo/overlay metrology Best Known Methods (BKM) across fabs for HVM and NPI Act as the technical point for cross-fab, complex photo/overlay metrology customer concerns Drive MOR–POR gap closure and cross ‑ fab/node alignment in collaboration with internal teams and suppliers Influence key suppliers and represent OCT in reviews, workshops, and governance forums Job Requirement and Qualifications: BS/MS/PhD in Electrical Engineering, Physics, Materials Science, Chemical Engineering, or related field 5+ years (Senior) or 8+ years (Principal) experience in semiconductor photolithography in NPI/HVM manufacturing Strong hands-on experience in photo/overlay metrology engineering (yield, quality, productivity, cost improvement) Proven experience in solving challenges involving overlay, CDU, metrology, reticle correction, MMM, destack, and yield matching Experience defining and deploying Best Known Methods (BKM) across tools, nodes, or fabs Ability

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: Lead HVM photo yield, quality, productivity, and cost improvement initiatives Resolve complex photo process issues (overlay, CDU, EPE, MMM, destack, RWC, yield matching) through data ‑ driven root ‑ cause analysis Define and deploy Photo Process Best Known Methods (BKM) across fabs for HVM and NPI Act as the technical point for cross-fab, complex lithography customer concerns Drive MOR–POR gap closure and cross ‑ fab/node alignment in collaboration with internal teams and suppliers Influence key suppliers and represent OCT Photo in reviews, workshops, and governance forums Job Requirement and Qualifications: BS/MS/PhD in Electrical Engineering, Physics, Materials Science, Chemical Engineering, or related field 5+ years (Senior) or 8+ years (Principal) experience in semiconductor photolithography in NPI/HVM manufacturing Strong hands-on experience in photo process engineering (yield, quality, productivity, cost improvement) Proven experience in solving challenges involving overlay, CDU, metrology, reticle correction, MMM, destack, and yield matching Experience defining and deploying Best Known Methods (BKM) across tools, nodes, or fabs Ability to act as a t

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 FE CPIE CPI PI Senior Engineer at Micron Technology, Inc., you will be responsible for working with global Micron network to drive each silicon node's Packaging Product yield, quality improvement, new product introduction (NPI) through technical expertise, business process management and project execution. In addition, you will be responsible in integrating solutions by connecting cross-functional expertise, standardizing the business process and regularly benchmarking internal and external intelligence to achieve the highest value bits and productivity. In addition, you will leverage AI-enabled engineering approaches, advanced analytics, and digital tools to accelerate problem solving, improve productivity, enhance decision quality, and drive continuous innovation across product yield, quality, and business processes. Responsibilities and Tasks Promote worldwide synergy for improved benchmark performance and efficiency gains through global project management and execution, network BKM leveraging and enhancement, and business process creation and re-engineering. Define strategies to ensure that Packaging Technology and interaction with Front End manufacturing process are fully developed and qualified well ahead of any qualific

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