Intel jobs

Senior Verification Engineer Virtual Canada posted: Posted Today

Senior EDA Tools Hardware Engineer Virtual US posted: Posted 22 Days Ago

CPU Microarchitect/RTL Engineer - Fetch, Out of Order Santa Clara, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, hard-working people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products! The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Do you want to join us in these pursuits? Join us to help deliver the next groundbreaking Apple product! Apple's Silicon Engineering Group (SEG) designs high-performance, low power microprocessors that power our innovative products, including the iPhone, iPad, Watch, Vision Pro, and Mac. We are looking for an experienced engineer to drive architecture and RTL development of CPU front-end and/or out-of-order subsystem for our performant cores. As a CPU Microarchitect/RTL Engineer, you will own or participate in the following: • Micro-architecture development and specification - from early high-level architectural exploration, through micro-architectural research and arriving at a detailed specification • RTL ownership - development, assessment and refinement of RTL design to target power, performance, area and timing goals • Verification - support the verification team in test bench development, formal methods, and simulation/emulation for functional verification • Performance exploration and correlation - explore high-performance strategies and

DFT Engineer Israel, Haifa posted: Posted 16 Days Ago

Retail Sales Specialist - Intel Computing As a Retail Sales Specialist for our Intel computing products, you'll engage with customers to understand their needs, preferences and budget while providing expert service and recommendations. You'll maintain knowledge of Intel products through required trainings, certifications and self-development. In this role, you'll make our customers feel excited, confident and appreciated by providing them with relevant and memorable solutions. What you'll do - Engage with customers in your department to support the customer experience, complete transactions, drive profitable growth and achieve sales goals - Use skills learned from training to engage with customers, provide them with complete solutions and create positive experiences - Use available tools to stay current on promotional initiatives and help drive profitable growth - Generate future opportunities by discovering customers' current and long-term tech needs - Embrace our learning culture to continuously improve existing skills while acquiring new ones - Maintain specified department merchandising and organization Basic qualifications - Must be at least 18 years old - Ability to work successfully as part of a team Preferred qualifications - 3 months of experience working in customer service, sales or related fields What's in it for you We're committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially key moments in your life. Our benefits include: - Competitive pay - Generous employee discount - Physical and mental well-being support About us As part

Engineering Analyst, Trust and Safety, Intel Collections Austin, TX, USA Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what's right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. As a member of the T&S Intel Collection team, your mission is to detect new abuse threats and vulnerabilities, triage and enrich signals, and share with teams for action, supporting teams working on new and existing Google products. The Engineering Analyst will drive crucial AI and automation efforts to scale internal tooling, specifically by building the infrastructure that powers our threat discovery through external data integration and automated detection systems. You will architect and implement technical solutions using scripting languages, database design, and system architecture to optimize daily workflows. You'll serve as a critical technical bridge across intel and core engineering teams to ensure operational needs align seamlessly with broader strategic goals. In addition, you will translate complex

Senior Front End Design Engineer (Microarchitecture) 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 As a senior front-end design engineer, you will be a key part of the world-class team designing and developing the next generations of the Cerebras Wafer Scale Engine (WSE). This role requires deep expertise in RTL design and integration, with a strong focus on delivering high-performance, power-efficient, and scalable solutions. You will collaborate closely with the design verification, physical design, software and system teams to bring innovative semiconductor architectures from concept to production, addressing the unique challenges of building WSE systems.

FPGA Engineer Staff Penang, Malaysia

Electrical Validation Intern Mexico, Guadalajara posted: Posted 30+ Days Ago

Factory Planning Coordinator 2 Locations posted: Posted 29 Days Ago

Neural Engine Performance Engineer, Platform Architecture Cupertino, United States of America At Apple, Platform Architecture is responsible for connecting our hardware and software into one unified system. Join this team, and you'll collaborate with engineers across Apple to design how all of our technologies work in unison. In this role, you will be part of the Neural Engine IP architecture team and work to improve the performance of the Neural Engine IP through SW optimizations and HW architectural enhancements. As a Neural Engine Performance Engineer, you will be responsible for analyzing, debugging and optimizing the performance of the Neural Engine. Prototyping performant and flexible programming models for the Neural Engine. Defining and implementing performance studies to identify performance bottlenecks in the Neural Engine HW and SW. Developing and maintaining tools for performance profiling. Minimum Qualifications: BS degree Experience with C++ and Python Experience with performance profiling of HW or SW Experience in at least one hardware IP: ML HW accelerators or processing units such as GPUs, ISPs, Video CODECs, CPUs, or similar Preferred Qualifications: MS or PhD degree 3+ years of software experience Experience writing low level software interfaces to hardware Experience debugging complex system level performance issues Experience writing automation software for data collection and analysis Understanding of OS scheduling and memory management Understanding of ML workloads and deployment for inference Understanding of SoC cache hierarchy and its performance implications

Formal Verification Student Israel, Haifa posted: Posted 8 Days Ago

Memory Validation Intern Mexico, Guadalajara posted: Posted 30+ Days Ago

Security SWE 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 As a frontend engineer on our AI cloud, you will work on our customer-facing inference, training, and admin consoles and API experiences. In this role, you will be responsible for designing and building responsive, user-friendly frontend interfaces that provide an optimal experience for our developers, handling high traffic and throughput efficiently. Your familiarity with the latest web development frameworks and best practices, coupled with a keen eye for design and user experience, will drive team success. We're looking for talented software engineers

IT Support Specialist India, Bangalore posted: Posted 17 Days Ago

CPU Performance Architect US, CA, Santa Clara posted: Posted 30+ Days Ago

Hardware Systems Engineer - Data Center HWE Austin, United States of America At Apple, new ideas have a way of becoming products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple. Do you want to impact billions of users by developing extraordinary products with a prime focus on accuracy, understandability and performance of the product? You will become part of a hardware development team that furthers engineering perfection, creativity and innovation. Dynamic, inspiring people and innovative technologies are the norm here. Bring passion and dedication to your job and there's no telling what you could accomplish. We are seeking an experienced Server Hardware Engineer with deep expertise in CPU architectures, compute performance analysis, and cloud-scale hardware optimization. In this role, you will evaluate next-generation server platforms, assess workload requirements, and guide strategic decisions on processor selection across x86, ARM, and accelerator-enabled systems. You will partner closely with SRE, platform engineering, and capacity planning teams to ensure our Compute cloud infrastructure runs on the most efficient and cost-effective compute platforms. CPU Architecture & Performance Engineering: Evaluate and compare CPU architectures (Intel, AMD, ARM, emerging, accelerators) for cloud and containerized workloads. Conduct microbenchmarking and workload-specific benchmarking (DB, caching, ML inference, microservices, network-heavy workloads). Analyze CPU metrics including IPC, cache hierarchy behavior, NUMA topology, SMT/Hyperthreading efficiency, turbo behaviors, and power/performance curves. Build performance models to predict workload scaling, throughput, and cost efficiency across CPU generations. Server Hardware & Platform Analysis: Assess server platforms including memory configurations, PCIe

APTM NPI Integrator 2 Locations posted: Posted 8 Days Ago

eCOTS Product Owner 6 Locations posted: Posted 16 Days Ago

CPU Design Verification Lead/Engineer India, Bangalore posted: Posted 30+ Days Ago

IP Development Engineer India, Bangalore posted: Posted 7 Days Ago

Module Process Engineer Ireland, Leixlip posted: Posted 7 Days Ago

Head of IT 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 We are hiring a Head of IT to build and run the internal technology backbone of a company that is scaling quickly and operating at the edge of AI hardware and software. This is not a steady-state IT leadership job, It is a build-and-scale role for someone who thrives when the ground is moving. You will own the systems that Cerebras employees, contractors, and executives rely on every day: laptops, identity, SaaS, networking, collaboration, endpoint security, internal support, and the IT controls that a

CPU MicroArchitect / RTL Engineer - Site Lead Beaverton, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, hard-working people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products! The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver groundbreaking Apple products! Apple's Silicon Engineering Group (SEG) designs high-performance, low power microprocessors that power our innovative products, including the iPhone, iPad, Watch, Vision Pro, and Mac. We are looking for an experienced technical leader and manager to drive microarchitecture and RTL development in multiple areas of our performant cores, leading the CPU RTL team at this growing site. As a CPU MicroArchitect / RTL Engineer, you will own or participate in the following: • Microarchitecture development and specification - from early high-level architectural exploration through micro architectural research and arriving at a detailed specification • RTL ownership - development, assessment and refinement of RTL design to target power, performance, area and timing goals • Validation - support test bench development and simulation for functional and performance verification • Performance exploration and correlation - explore high performance strategies and validate that the