Vision Hardware Engineering Manager

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

About the TeamOriginating from X, Google's innovative Moonshot Factory, Taara is dedicated to transforming internet access for billions of people worldwide. We are pioneering the utilization of light for faster, more affordable, and reliable connectivity. Join us in revolutionizing wireless optical communication and photonics chip technologies, driving our expansion as we deliver innovative solutions globally. Together, we can illuminate the future and bridge the digital divide.About the RoleWe are in search of a Senior Hardware Program Manager specializing in Manufacturing and Quality at Taara. The ideal candidate will possess extensive experience in leading manufacturing processes, manufacturing engineering, and quality assurance for high-volume production of Wireless Optical Communication (WOC) systems, essential for providing widespread and affordable internet.This strategic leadership role involves overseeing product build planning, production, and shipping, while ensuring adherence to quality and performance specifications. You will develop, implement, and enforce robust quality control (QC) and quality assurance (QA) protocols throughout the production lifecycle.We're looking for highly motivated individuals who thrive in a dynamic team environment, collaborating with engineers, technicians, suppliers, and partners. If you are passionate about tackling diverse challenges in manufacturing, scaling, and continuous improvement projects that can lead to significant technological advancements, we want you on our team.Your ImpactProduction Oversight: Supervise daily manufacturing operations, including production, scheduling, and resource allocation across diverse shifts or value streams. Ensure production capacity, layout, and equipment readiness to meet manufacturing objectives. Proactively assess and mitigate risks, crafting contingency plans to minimize production schedule disruptions.Strategy & Planning: Formulate and implement long-term manufacturing strategies, including budget oversight, capacity planning, and capital expenditure proposals. Monitor and enhance Key Performance Indicators (KPIs) such as Overall Equipment Effectiveness (OEE), yield rates, and unit costs.Quality Management: Establish and maintain a comprehensive Quality Management System (QMS), ensuring ISO compliance and industry-specific certifications as necessary. Design, review, and enforce testing protocols to assess raw materials, in-process production, and final products, ensuring adherence to quality standards.

Join Kaseya, a leading provider of IT management software, as the Director of Technical Program Management. In this pivotal role, you will oversee the planning and execution of multiple technical programs, ensuring alignment with organizational goals and driving operational excellence.Your expertise will be vital in coordinating cross-functional teams, managing project timelines, and delivering impactful results. This is an exciting opportunity to play a key role in shaping the future of our technology initiatives.

Join CoreWeave as a Technical Program Manager specializing in Security Compliance. In this pivotal role, you will oversee and drive security compliance initiatives across our technical programs. Your expertise will ensure that we adhere to industry standards and best practices, thereby safeguarding our infrastructure and data integrity.

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.

Join Us on Our Journey!At Illumio, we are pioneering the fight against ransomware and data breaches, transforming how organizations manage cyber threats and maintain operational resilience. Our cutting-edge breach containment platform, powered by the Illumio AI Security Graph, effectively identifies and mitigates threats across diverse hybrid multi-cloud environments, preventing the escalation of cyberattacks into full-blown crises.As a recognized leader in the Forrester Wave™ for Microsegmentation, Illumio champions Zero Trust principles, bolstering cyber resilience for critical infrastructures, systems, and organizations that keep our world functioning smoothly.Internship Duration: 12 weeks starting either May 26th, 2026, or June 22nd, 2026.Work Arrangement: Onsite at our Headquarters in Sunnyvale, CA, 5 days a week.Team Vision:We are looking for a proactive and analytical intern to join our Program Management team, focusing on automation, data analysis, and AI-enhanced efficiency. This internship presents a unique opportunity to delve into how intelligent systems and automation can optimize program operations at scale. You will collaborate closely with program managers, data analysts, and engineering teams to identify inefficiencies, design prototypes, and derive insights that inform intelligent decision-making. If you are enthusiastic about addressing operational challenges using data and emerging technologies, we would love to have you on board!

Join LinkedIn as a Senior Technical Program Manager focused on finance. In this role, you will lead cross-functional teams to deliver innovative solutions that drive financial performance and operational excellence. Your expertise in program management will be critical in ensuring that projects are completed on time and within budget. You will collaborate with key stakeholders to define project scope, objectives, and deliverables while managing risks and dependencies.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technology. Established in 2017 and currently valued at $15 billion, this Silicon Valley powerhouse is dedicated to creating the digital backbone essential for integrating intelligence into every moving machine globally. We cater to various sectors including automotive, defense, trucking, construction, mining, and agriculture, focusing on three main areas: innovative tools and infrastructure, operating systems, and autonomous solutions. Our technologies are trusted by 18 of the top 20 global automakers, alongside the United States military and its allies, to enhance physical intelligence. Our headquarters is located in Sunnyvale, California, with additional offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. To learn more, visit applied.co.We emphasize an in-office work culture, with the expectation that our employees work at the Applied Intuition office five days a week. We also value flexibility and trust our employees to manage their schedules responsibly, which may include occasional remote work or adjustments to accommodate personal commitments.About the RoleWe are seeking a Technical Program Manager to lead and manage intricate engineering projects in the autonomous trucking domain. This role involves identifying project gaps and implementing best practices to achieve our customers' autonomy deployment goals. You will collaborate closely with engineers at Applied Intuition and our customers to deliver effective solutions.Responsibilities:Lead strategic autonomy projects within the trucking sector that are vital for our engagements with global truck OEMs.Oversee the execution of large-scale, cross-disciplinary initiatives aimed at achieving Level 4 (L4) autonomy in trucks, integrating hardware, software, and operations to enhance development, deployment, and commercialization.Work in partnership with customers and stakeholders, directly engaging with OEM clients, engineering teams, and executives to understand use cases and requirements.

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.

We are seeking a highly skilled Technical Project Manager with expertise in implementing Budget Systems to lead a significant project for our client. In this role, you will be responsible for coordinating with internal teams and external vendors to ensure successful execution of the Budget System implementation.Your responsibilities will include developing the project scope and objectives while engaging all relevant stakeholders to ensure technical feasibility. You will be tasked with delivering all project milestones on time, within scope, and within budget. Your role will also involve monitoring resource availability and allocation, establishing effective communication strategies, and providing regular status updates to management. Additionally, you will create and maintain thorough project documentation throughout the project lifecycle.

Join Intuitive Surgical as a Managing Network Principal, where your leadership will guide our network management team towards excellence in operational efficiency and innovation. In this pivotal role, you will oversee the development and implementation of network strategies, ensuring that our systems are robust, secure, and aligned with our organizational goals.

Join LinkedIn as a Principal Staff Software Engineer specializing in Systems and Infrastructure. We are looking for a visionary leader who can drive the architecture and development of our core systems, ensuring scalability and efficiency. You will collaborate with cross-functional teams to innovate and enhance our infrastructure, making a significant impact on our global user base.

We are seeking an experienced Infrastructure Project Manager to lead and oversee critical infrastructure projects. You will be responsible for planning, executing, and finalizing projects according to strict deadlines and within budget. This involves coordinating with various stakeholders, managing project teams, and ensuring the highest quality of deliverables.

Join Cerebras Systems as a Senior WAN Network Engineer, where you will play a crucial role in designing and optimizing our wide area network infrastructure. You will work alongside a talented team to ensure high availability and performance of network services.

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.