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Experience Level
Manager
Qualifications
Proven experience in hardware project management, preferably within the tech industry. Strong understanding of hardware development processes and lifecycle. Excellent communication and leadership skills to work effectively with diverse teams. Ability to manage multiple projects simultaneously and meet tight deadlines. Technical background in hardware engineering or related fields is highly desirable.
About the job
Join Cerebras Systems as a Senior Hardware Technical Program Manager to lead and drive cutting-edge hardware projects. In this pivotal role, you will collaborate with cross-functional teams to ensure the successful delivery of innovative solutions, leveraging your extensive knowledge and experience in hardware development.
Your leadership will be essential in coordinating project timelines, overseeing product specifications, and optimizing resource allocation. If you are passionate about technology and seeking to make a significant impact in the hardware domain, we invite you to apply.
About Cerebras Systems
Cerebras Systems is a pioneering company in the field of artificial intelligence and computing technology. Our mission is to accelerate AI workloads with innovative hardware solutions. We pride ourselves on our culture of collaboration and creativity, providing an environment where talented individuals can thrive and push the boundaries of what is possible.
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Search for Infrastructure Hardware Technical Program Manager Server And Network Systems
Cerebras Systems is pioneering the field of artificial intelligence with the development of the world's largest AI chip, which is 56 times larger than traditional GPUs. Our innovative wafer-scale architecture delivers the computational power equivalent to dozens of GPUs on a single chip, simplifying programming to a single device. This breakthrough allows Cerebras to achieve unparalleled training and inference speeds, enabling machine learning practitioners to seamlessly run extensive ML applications without the complexity of managing numerous GPUs or TPUs. Our clientele includes leading model labs, global corporations, and cutting-edge AI-native startups. Cerebras recently formed a transformative multi-year partnership with OpenAI, focusing on deploying 750 megawatts of scale to enhance critical workloads through ultra-fast inference. Thanks to our unique wafer-scale architecture, Cerebras Inference provides the fastest Generative AI inference solution globally, outperforming GPU-based hyperscale cloud services by over ten times. This dramatic increase in speed is revolutionizing the user experience of AI applications, facilitating real-time iterations and enhancing intelligence through additional agentic computation. As an Infrastructure Hardware Technical Program Manager (Server and Network Systems) within the Cluster Architecture Team, you will oversee the comprehensive delivery of server and network platform programs across Cerebras CS-3-based AI clusters. Your responsibilities will range from requirements gathering and vendor selection to lab bring-up, qualification, and production rollout. You will act as the execution lead for multi-team programs involving OEM/ODM partners, component vendors, internal software/runtime teams, architects, validation/QA, and deployment/operations.This position requires a strong technical background; you should grasp server, network, and system-level trade-offs to effectively conduct technical reviews, keep programs aligned with real-world constraints, and maintain clear decision documentation. Collaborating closely with Compute, Server, and Network Platform Architects, you will ensure detailed technical direction and approval. Additionally, you will work to establish mutual understanding with our rack/elevations and physical data center design partners to ensure server and network modifications are implemented smoothly in real deployments (without directly managing physical data center design).
Join Cerebras Systems as a Senior Hardware Technical Program Manager to lead and drive cutting-edge hardware projects. In this pivotal role, you will collaborate with cross-functional teams to ensure the successful delivery of innovative solutions, leveraging your extensive knowledge and experience in hardware development.Your leadership will be essential in coordinating project timelines, overseeing product specifications, and optimizing resource allocation. If you are passionate about technology and seeking to make a significant impact in the hardware domain, we invite you to apply.
We are seeking a highly experienced Senior Staff Technical Program Manager to lead our Core Infrastructure team at LinkedIn. In this pivotal role, you will be responsible for driving complex technical projects, ensuring their successful execution from conception through delivery. You will work closely with cross-functional teams to deliver innovative infrastructure solutions that meet the needs of our growing user base.
Cerebras Systems is at the forefront of AI technology, having developed the world's largest AI chip, which is 56 times larger than conventional GPUs. Our innovative wafer-scale architecture combines the computational power of numerous GPUs onto a single chip with the ease of programming akin to a single device. This unique design enables Cerebras to achieve unparalleled training and inference speeds, making it possible for machine learning practitioners to seamlessly execute large-scale ML applications without the complexities of managing multiple GPUs or TPUs.Our esteemed clientele includes leading model labs, global enterprises, and pioneering AI-native startups. Notably, OpenAI has recently forged a multi-year partnership with Cerebras, committing to deploy 750 megawatts of scale, thereby revolutionizing critical workloads through ultra high-speed inference.Thanks to our groundbreaking wafer-scale architecture, Cerebras Inference delivers the fastest Generative AI inference solution available today, exceeding the speed of GPU-based hyperscale cloud inference services by more than tenfold. This significant speed enhancement is reshaping the AI application user experience, facilitating real-time iterations and amplifying intelligence through additional agentic computation.About The RoleThis Senior Technical Program Manager role is pivotal in overseeing site and data center operations programs that support Cerebras’ AI Cloud and customer deployments. This position is based at our Sunnyvale headquarters and involves close collaboration with Hardware Engineering, Inference Engineering, and Operations leadership to ensure that Cerebras systems are deployed, operated, and scaled reliably.This is a highly technical, execution-driven TPM role emphasizing operational readiness, cross-functional collaboration, and the establishment of metrics and KPIs.ResponsibilitiesLead end-to-end technical programs for data center and site operationsServe as the single-threaded owner across: Hardware & Systems EngineeringAI Cloud Infrastructure & Operations
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About Applied IntuitionApplied Intuition, Inc. is at the forefront of shaping the future of physical AI. Established in 2017 and currently valued at $15 billion, this cutting-edge Silicon Valley firm is developing the essential digital infrastructure required to integrate intelligence into every moving machine globally. We cater to various industries, including automotive, defense, trucking, construction, mining, and agriculture, across three primary domains: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, along with the United States military and its allies, rely on our solutions for delivering physical intelligence. Headquartered in Sunnyvale, California, Applied Intuition has a global presence with offices situated in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.We maintain an in-office culture, expecting our employees to primarily work from their Applied Intuition offices five days a week. However, we also value flexibility and trust our employees to manage their schedules responsibly, which may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier to accommodate family commitments.About the RoleWe seek a dedicated Technical Program Manager to spearhead vital multi-disciplinary engineering projects from concept to execution. This role demands strong leadership, communication, planning, and engineering skills to navigate the complexities of our releases and customer demands. Our ideal candidate will have extensive experience guiding intricate releases within a fast-paced, customer-focused software environment. This position will require collaboration across Engineering, Design, Customer, and Product teams.At Applied Intuition, You Will:Oversee projects that span multiple organizations, monitor progress, and ensure the successful achievement of all milestones, metrics, and final deliverables.Engage with customers to identify pain points and explore additional project opportunities.Maintain regular communication with Applied Intuition's internal teams to facilitate project success.
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Cerebras Systems is pioneering the future of artificial intelligence with the development of the world's largest AI chip, which is an astonishing 56 times bigger than conventional GPUs. Our innovative wafer-scale architecture enables the AI computational power equivalent to dozens of GPUs on a single chip, while maintaining programming simplicity akin to that of a single device. This state-of-the-art approach allows us to deliver unparalleled training and inference speeds, enabling machine learning practitioners to seamlessly execute large-scale ML applications without the complexities of managing multiple GPUs or TPUs.We proudly serve a diverse clientele, including leading model labs, multinational corporations, and innovative AI-native startups. Notably, OpenAI recently announced a multi-year partnership with Cerebras to harness 750 megawatts of scale, revolutionizing critical workloads with ultra-high-speed inference.With our groundbreaking wafer-scale architecture, Cerebras Inference provides the fastest Generative AI inference solution globally, achieving speeds over ten times faster than GPU-based hyperscale cloud inference services. This remarkable enhancement in speed is transforming the user experience for AI applications, unlocking real-time iteration and enriching intelligence through enhanced computational capabilities.About The RoleAs a Network Architect on the Cluster Architecture Team, you will collaborate closely with vendors, internal networking teams, and industry experts to create top-tier interconnect architecture for both current and future generations of Cerebras AI clusters. Your responsibilities will include developing proof-of-concept designs for new network features that promote a resilient and reliable network tailored for AI workloads. This role demands cross-functional collaboration and engagement with a variety of hardware components, including network devices and the Wafer-Scale Engine, as well as software across multiple layers of the stack, from host-side networking to cluster-level coordination. A strong understanding of network monitoring systems and debugging methodologies is essential.ResponsibilitiesDesign AI/ML and HPC Clusters.Identify and mitigate performance or efficiency bottlenecks, ensuring optimal resource utilization, low latency, and high-throughput communication.Lead technical projects involving multiple teams and diverse software and hardware components to realize advanced network solutions.
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Cerebras Systems is at the forefront of AI technology, creating the largest AI chip in the world, which is 56 times larger than traditional GPUs. Our innovative wafer-scale architecture provides AI compute power equivalent to dozens of GPUs on a single chip, while ensuring the programming simplicity of a single device. This unique approach enables Cerebras to achieve industry-leading training and inference speeds, empowering machine learning practitioners to run extensive ML applications without the complexities of managing multiple GPUs or TPUs.Our clientele includes leading model labs, global corporations, and pioneering AI-native startups. Recently, OpenAI announced a multi-year collaboration with Cerebras to utilize 750 megawatts of scale, revolutionizing important workloads with ultra-high-speed inference.With our groundbreaking wafer-scale architecture, Cerebras Inference delivers the fastest Generative AI inference solution globally, outperforming GPU-based hyperscale cloud inference services by over tenfold. This remarkable speed enhancement is reshaping the user experience of AI applications, facilitating real-time iterations and amplifying intelligence through enhanced agentic computation.About The RoleAs a Compute / Server Platform Architect within the Cluster Architecture Team, you will be responsible for the server-side platform architecture that empowers Cerebras CS3-based AI clusters (for both training and inference), ensuring predictable performance, scalability, and reliability. Our accelerators are network-attached, making the x86 server fleet an integral component of the end-to-end system. This system supports critical runtime functions such as orchestration, prompt caching, and IO/control services, necessitating co-design with software to optimize token-level latency, throughput, and cost efficiency. You will translate workload behaviors into requirements for CPU, memory, IO, PCIe, and host networking, lead platform evaluations with vendors, and provide technical direction through qualification and production adoption in close collaboration with other leaders and technical project managers.
Join Wayve as a Hardware Engineer and be at the forefront of driving innovative technology solutions. In this role, you will engage in the design, development, and testing of cutting-edge hardware systems. We are looking for passionate engineers who thrive in a collaborative environment and are eager to push the boundaries of hardware engineering.
Mar 30, 2026
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