Intel jobs

Construction Project Manager Malaysia, Kulim posted: Posted 21 Days Ago

Prognostics & Health Monitoring 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 Quality, reliability, and uptime are foundational to scaling Cerebras systems. We are seeking an engineer to define and build our prognostics and health monitoring (PHM) capability-developing frameworks to monitor, assess, and predict hardware health across our fleet. In this role, you will transform telemetry and operational data into actionable insights and automated responses, enabling early detection of degradation, accurate failure prediction, and proactive actions to keep systems highly available, performant, and resilient. This is a highly cross-functional role spanning reliability engineering, data science,

Ethernet Product Manager 2 Locations posted: Posted 11 Days Ago

Senior Staff Mixed Signal IP Enablement and Debug Engineer 2 Locations posted: Posted 11 Days Ago

Manufacturing Operators (Contract) Malaysia, Penang posted: Posted 20 Days Ago

CPU Structural Design – Technology and Path finding 2 Locations posted: Posted 30+ Days Ago

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

Robotics/Physical AI Sales Japan, Tokyo posted: Posted 7 Days Ago

Senior Mixed Signal IP Enablement and Debug Engineer 2 Locations posted: Posted 11 Days Ago

Staff Inference ML Runtime Engineer 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 Systems is dedicated to enabling our fast generative inference solution through simple APIs powered by a distributed runtime that runs on large clusters of our own hardware. Our mission is to empower enterprises, developers, and researchers to unlock the full potential of our platform, leveraging its performance, scalability, and flexibility. The team works closely with cross-functional groups, including compiler developers, cluster orchestrators, ML scientists, cloud architects, and product teams, to deliver high-impact

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

Full Stack LLM Engineer Toronto, Ontario, 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 seeking a versatile and experienced engineer to join our Inference Core Model Bringup team. This team is responsible to rapidly bring up state-of-the-art open-source models (like LLaMA, Qwen, etc) or customer-provided proprietary models on our Cerebras CSX systems. Success in this role requires a system-minded generalist who thrives in fast-paced bringup environments and is comfortable working across the entire Cerebras software stack. Your work will play a critical role in achieving unprecedented levels of performance, efficiency, and scalability for AI

Principal CPU Power Architect 3 Locations posted: Posted 28 Days Ago

CPU Processor Performance Verification Engineer 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! Join us to help deliver the next groundbreaking Apple product. In this highly visible role, you will be at the center of a chip design effort collaborating with all subject areas, with a critical impact on getting functional products to millions of customers quickly. You will be responsible for silicon performance verification, correlation, characterization and tuning for CPUs. The role involves pre-silicon performance verification as well as developing tests to characterize CPU performance, analyzing and profiling software/applications, correlating and comparing performance across silicon/system software version, and working with OS and compiler teams on performance debug and tuning. As a CPU Processor Performance Verification Engineer owning the verification of a certain area of performance features in a chip design, you will have responsibilities as follows: • Work closely with architects and RTL designers on verifying the performance features of the design and correlating with performance models (both pre-silicon and post-silicon)

Analog Design Architect India, Bangalore posted: Posted 30+ Days Ago

Senior Chip Design Engineer Israel, Tel Aviv posted: Posted 2 Days Ago

GenAI Software Architect 2 Locations posted: Posted 30+ Days Ago

Ecosystem Development Specialist 3 Locations posted: Posted 3 Days Ago

Chief Engineer, Intel Systems Reston, Virginia, United States Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE JOB Anduril is seeking a Chief Engineer to lead the design, development, and technical integration for a product line of critical network capabilities. This role is not just about leading; it's about re-envisioning the technical future of secure, resilient, and high-bandwidth communication for all of Anduril and the DoW's autonomous platforms and integrated defense solutions. A successful candidate will not only have a strong technical background, but must also possess a vision for leadership that embraces Anduril's mission to disrupt the defense technology ecosystem across technical and programmatic domains. As Chief Engineer, you will be responsible for the end-to-end technical success and architectural coherence of complex, multi-disciplinary network systems. You will operate at the intersection of complex engineering challenges in embedded systems, networking protocols, mechanical integration, and strategic program execution. You will

System Software Engineer India, Bangalore posted: Posted 30+ Days Ago

Kernel Engineer Bengaluru, Karnataka, India 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 Kernel Engineer on our team, you will develop high-performance software solutions at the intersection of hardware and software, developing high-performance software for cutting-edge AI and HPC workloads. Your focus will be on implementing, optimizing, and scaling deep learning operations to fully leverage our custom, massively parallel processor architecture. You will be part of a world-class team responsible for the design, performance tuning, and validation of foundational ML and HPC kernels. This includes building a library of parallel and distributed algorithms that maximize

Capital Accounting Analyst Malaysia, Penang posted: Posted 30+ Days Ago

Lead Full Stack Machine Learning Engineer Bengaluru, Karnataka, India 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 T he Role This teams' principal responsibility is to rapidly bring up state-of-the-art open-source models, frameworks and data engineering. Success in this role requires a system-minded generalist who thrives in fast-paced bringup environments and is comfortable working across the entire software stack. Your work will play a critical role in achieving unprecedented levels of performance, efficiency, and scalability for AI applications. Responsibilities - Contribute to the end-to-end bring up of frameworks for RL, inference serving, ML models on Cerebras CSX systems. -

Middleware Development Engineer 3 Locations posted: Posted 30+ Days Ago