Intel jobs

ML Microarchitect Mountain View, California Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world's highest performance automotive compute platforms. This role follows a hybrid work schedule and you will report to the Senior Staff Silicon Engineer. You will: - Work with researchers and architects to translate high level requirements into hardware features - Specify and design microarchitectures to deliver world class

PDK LVS Development Engineer Malaysia, Penang posted: Posted 30+ Days Ago

SoC Functional Validation Engineer Malaysia, Penang posted: Posted 30+ Days Ago

Infrastructure Hardware Technical Program Manager (Server and Network Systems) Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. As an Infrastructure Hardware Technical Program Manager (Server and Network Systems) on the Cluster Architecture Team, you will drive end-to-end delivery of server and network platform programs across Cerebras CS-3-based AI clusters - from requirements and vendor selection through lab bring-up, qualification, and production rollout. You will be the execution owner for multi-team programs spanning OEM/ODM partners, component vendors, internal software/runtime teams and architects, validation/QA, and deployment/operations. This role is intentionally technical: you must understand server, network, and

Identity Security - PKI Engineer 2 Locations posted: Posted 20 Days Ago

Lead Senior Design Engineer – AI SoC Development 4 Locations posted: Posted 24 Days Ago

Senior Account Sales Manager Japan, Tokyo posted: Posted 17 Days Ago

Site Reliability Engineer - Ops & Automation Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role We are building a high-performance SRE function to support one of the world's fastest-growing AI inference services, powered by the Wafer-Scale Engine (WSE), helping deliver infrastructure for frontier-class models from leading model builders such as OpenAI. This role offers immediate ownership of real production systems at a growing scale, direct mentorship from seasoned engineers, and close collaboration with incoming Staff SREs who will focus on long-term automation. After ~1 month of shared hands-on operations with the Staff

AI Software Engineering Intern 2 Locations posted: Posted 30+ Days Ago

Senior Post Silicon CPU Debug Engineer Israel, Haifa posted: Posted 2 Days Ago

Foundry Strategic Industrial Engineer 3 Locations posted: Posted 10 Days Ago

Design Validation Test - Lead/Principal Engineer Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Role Summary We are seeking a hands‑on DVT Technical Lead (Individual Contributor) to own and drive the Design Validation Test (DVT) process end‑to‑end across complex electrical engineering boards and full systems. You will define validation strategy, build test plans and infrastructure, lead deep debug and root‑cause analysis (RCA), and drive closure through design changes and re‑test. The domain includes difficult power delivery technology, fast high‑speed I/O, and electro‑mechanical systems with thermal, optics, and high‑power constraints. People management is not required (mentoring is a plus).

AI Tools Development Intern Mexico, Guadalajara posted: Posted 30+ Days Ago

AI Software Engineer Intern 3 Locations posted: Posted 30+ Days Ago

Senior VLSI Engineer 2 Locations posted: Posted Today

Module Development Engineer US, Oregon, Hillsboro posted: Posted 11 Days Ago

Process Technology Design Engineer Israel, Haifa posted: Posted 24 Days Ago

Senior ASIC Design Engineer, High Speed IO 2 Locations posted: Posted 30+ Days Ago

Module Equipment Technician (Contract) Malaysia, Kulim posted: Posted 30+ Days Ago

IP RTL Design Engineer India, Bangalore posted: Posted 23 Days Ago

Connectivity Systems Validation Engineer India, Bangalore posted: Posted 3 Days Ago

Head of Data Center Acquisition Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Why now Demand for Cerebras inference is high and climbing. We need ever-more power-ready data center capacity to meet demand for the world's fastest inference solution. Project facts often change as providers work through power, site, capital, design, security, and schedule issues. This work shapes customer delivery, capital use, and risk for years. The job demands a hands-on deal leader who can separate real capacity from optimistic claims and keep priority transactions on track. Role at a glance - Own the data center capacity pipeline

GenAI Software Solutions Engineer Malaysia, Penang posted: Posted 21 Days Ago

End to End GPU AI Software Architect 4 Locations posted: Posted 30+ Days Ago