Intel jobs

Principal Engineer, AI Systems and Solutions US, Oregon, Hillsboro posted: Posted 4 Days Ago

Enterprise Systems Analyst US, Arizona, Phoenix posted: Posted 15 Days Ago

Senior Substrate Program Managers 2 Locations posted: Posted 30+ Days Ago

Engineering Manager, Inference ML Runtime 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 The Inference ML Engineering team at Cerebras builds the runtime, APIs, and systems that power the fastest generative AI inference platform in the world. As an Engineering Manager, Inference ML Runtime , you will lead a team responsible for designing and scaling the systems that enable seamless execution of state-of-the-art AI models on Cerebras hardware. You will operate at the intersection of machine learning, distributed systems, and high-performance runtime engineering , translating cutting-edge research into production-ready infrastructure to serve

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

Manager, Business Operations 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. About The Role This role is a high-leverage seat in that build and a deliberate apprenticeship into operating leadership. You will create the business operations, analytics, and execution system that keeps decision-ready insight flowing as the company scales. You will be embedded with operators, turning messy operational reality into durable processes, clear metrics, and repeatable operating rhythms. You will report to the Head of FP&A and work in close partnership with the COO and operations leadership. Why now Cerebras is scaling to meet accelerating demand for fast

Sr. CPU RTL Front End Methodology Engineer 3 Locations posted: Posted Yesterday

FVCTO - Formal Verification Specialist India, Bangalore posted: Posted 30+ Days Ago

Business Operations Lead, Datacenters 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. About The Role This is a high-leverage business operations role embedded in the Datacenter organization. You will partner directly with 5-10 senior leaders to build the operating system that keeps the organization aligned, decision-ready, and executing at speed. The job sits at the intersection of planning, operating cadence, communications, and execution. You will turn complex, fast-moving work into clear priorities, durable mechanisms, and actionable insight. This is not a staff role from the sidelines-you will be in the middle of the work, helping leaders drive performance,

Electromagnetic Modeling Student Worker Mexico, Guadalajara posted: Posted 30+ Days Ago

AI Engineer, Model Quality and Performance 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. About The Role You'll own model quality and performance for Cerebras' inference offerings. You will define what "good" looks like across the models we serve, building AI-driven systems to measure it at scale, and translating those signals into artifacts our customers and product team actually use. You'll use AI agents to spin up custom eval suites per customer use case, mine trajectories for representative test data, automate the repetitive parts of release qual, and help build performance datasets and benchmarking workflows for customer use

Foveros Direct Pathfinding Integration 2 Locations posted: Posted 30+ Days Ago

CPU Performance & Workload Analysis Architect, Platform Architecture Austin, United States of America Modern system-on-chip (SoC) designs have dramatically changed how hardware and software is developed. It is increasingly important to understand the concerns of software developers when designing hardware while it is also increasingly meaningful for software developers to understand how their applications can map efficiently to modern client and server hardware. Those who can understand both and prefer to live at the intersection of hardware and software are deeply valuable, especially to Apple. The Apple CPU Architecture and Performance Team is seeking highly motivated and self-driven engineers who want to live at this intersection, individuals who have or want to develop domain expertise in emerging areas like AI, individuals who have a high-level CPU architecture understanding and desire to work with a world class team for CPU, SoC, and software development. Are you deeply accountable for your work? Your passion for product ownership and track record of product development will prove critical to your success on our team. We drive advanced exploration for next generation CPU architectures. As a member of this team, you are the interface between the CPU team, system teams, and many software teams at Apple. We have a data driven approach that is focused on real user workloads (both existing and emerging) so your work will guide optimizations and the direction of future CPUs. At the same time, you will be working with software developers to optimize code for our CPU designs and roadmap.

FPnA Analyst Israel, Kiryat-Gat posted: Posted 30 Days Ago

Director Government Affairs US, Washington, D.C. posted: Posted 30+ Days Ago

CPU Verification Engineer India, Bengaluru posted: Posted 30+ Days Ago

Senior Verification Engineer, Chip Design Israel, Yokneam posted: Posted 4 Days Ago

SoC Functional Validation Intern Mexico, Guadalajara posted: Posted 11 Days Ago

Consumer Industries Solution Lead 4 Locations posted: Posted 24 Days Ago

Assembly and Test NPI Integrator Malaysia, Penang posted: Posted 30+ Days Ago

CPU Verification Fellow, RISC-V High-Performance Processor United States 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. Tenstorrent is seeking a CPU Verification Fellow to lead verification strategy and execution for next-generation RISC-V high-performance processors. This role requires deep CPU verification expertise, strong microarchitecture understanding, and the ability to guide large engineering teams from early design through tapeout and post-silicon validation. The ideal candidate has verified complex out-of-order, speculative, superscalar CPUs and can define scalable methodology across simulation, formal verification, emulation, FPGA, and silicon bring-up. This role is hybrid, based out of Santa Clara, CA or Austin, TX. 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 have deep experience verifying high-performance superscalar CPUs, ideally including out-of-order and speculative processors. - You have strong knowledge of RISC-V architecture, including ISA compliance, privileged architecture,

Senior Technology Project / Program Manager 3 Locations posted: Posted Yesterday

Supply Chain Engineer (SCE) PRC, Chengdu posted: Posted 29 Days Ago

Senior ML Software Engineer - Integration & Quality 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 looking for a Software Engineer to join the ML Integration and Quality team at Cerebras. This team sits at the intersection of machine learning infrastructure, distributed systems, and hardware/software co-design. In this role, you will help integrate and validate the software stack that powers the Cerebras AI platform, ensuring large-scale ML workloads run reliably and efficiently across our systems. You will work closely with engineers across runtime, compiler, kernel, and hardware teams to debug