Engineering Manager, Kernel Reliability

Cerebras Systems is at the forefront of AI technology, having developed the world's largest AI chip, which is 56 times larger than traditional GPUs. Our innovative wafer-scale architecture delivers the AI computing power equivalent to dozens of GPUs on a single chip, simplifying programming to a single device. This revolutionary design enables Cerebras to provide unmatched training and inference speeds, empowering machine learning practitioners to seamlessly execute large-scale ML applications without the complexities of managing multiple GPUs or TPUs.Our clientele includes elite model labs, global corporations, and pioneering AI-native startups. Notably, OpenAI recently entered into a multi-year partnership with Cerebras to deploy 750 megawatts of scale, significantly enhancing key workloads with ultra high-speed inference.Thanks to our groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution globally, achieving speeds over 10 times faster than GPU-based hyperscale cloud inference services. This substantial speed boost is transforming user experiences in AI applications by enabling real-time iterations and enhancing intelligence through additional agentic computation.The RoleWe are seeking a highly technical and hands-on Engineering Manager to lead our on-field Kernel Reliability team. You will guide a high-performing team in addressing a critical challenge: enhancing the reliability of our advanced compute clusters along with the associated inference, training, and internal production services. In this influential role, you will define the technical vision while remaining closely engaged with the code, crafting scalable solutions for our rapidly expanding system production and software service offerings. If you possess proven expertise in software or hardware reliability, diagnostic tool development, or failure analysis and debugging, we invite you to connect with us.ResponsibilitiesProvide hands-on technical leadership, owning the technical vision and roadmap for kernel-centric reliability concerning both internal and customer-facing systems.

Cerebras Systems is revolutionizing the AI landscape with the world's largest AI chip, which is 56 times larger than traditional GPUs. Our innovative wafer-scale architecture delivers the computational power of multiple GPUs on a single chip, simplifying programming and enabling unparalleled training and inference speeds. This technology allows our users to run extensive machine learning applications seamlessly, eliminating the complexities associated with managing numerous GPUs or TPUs.Our clientele includes leading model labs, global corporations, and pioneering AI startups. Recently, OpenAI announced a multi-year collaboration with Cerebras, aiming to deploy 750 megawatts of power, significantly enhancing their workloads with ultra-fast inference capabilities.With our groundbreaking wafer-scale architecture, Cerebras Inference provides the fastest Generative AI inference solution globally, outperforming GPU-based hyperscale cloud services by over tenfold. This remarkable speed enhancement is transforming user experiences in AI applications, facilitating real-time iterations and amplifying intelligence through advanced computational capabilities.About The RoleWe are in search of a highly technical and hands-on Software Engineer to join our Kernel Reliability team. In this pivotal role, you will address the crucial task of enhancing the reliability of our advanced compute clusters, along with the inference, training, and internal production services. You will work closely with the code to develop solutions that scale alongside our rapidly evolving production systems and software services. If you possess strong foundations in systems, debugging, and failure analysis and have a passion for creating tools and solving complex reliability challenges, we would love to connect with you. New graduates are encouraged to apply.

Cerebras Systems is revolutionizing artificial intelligence with the world's largest AI chip, 56 times larger than traditional GPUs. Our innovative wafer-scale architecture delivers unparalleled AI compute power, equating to dozens of GPUs on a single chip, all while maintaining the programming simplicity of a single device. This unique solution enables Cerebras to achieve unmatched training and inference speeds, allowing 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 that includes leading model labs, multinational corporations, and pioneering AI-native startups. Notably, OpenAI has recently entered into a multi-year partnership with Cerebras, harnessing 750 megawatts of scale to transform critical workloads with ultra-high-speed inference.Our cutting-edge wafer-scale architecture powers the fastest Generative AI inference solution globally, boasting speeds over ten times faster than GPU-based hyperscale cloud inference services. This remarkable acceleration is reshaping the user experience of AI applications, facilitating real-time iterations and enhancing intelligence through advanced agentic computation.About The RoleAs a Kernel Engineer, you will be pivotal in crafting high-performance software solutions at the convergence of hardware and software. Your primary responsibility will be to implement, optimize, and scale deep learning operations that fully utilize our custom, massively parallel processor architecture.You will collaborate with a world-class team focused on designing, tuning for performance, and validating foundational ML and HPC kernels. This role includes building a comprehensive library of parallel and distributed algorithms aimed at maximizing compute utilization and enhancing training efficiency for state-of-the-art AI models. Your contributions will be crucial in unlocking the full capabilities of our hardware and accelerating the advancements in AI.

At Wayve, we are dedicated to fostering a diverse, equitable, and respectful culture that values the unique skills and perspectives of every individual, regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital status, sexual orientation, gender identity, veteran status, pregnancy or related conditions (including breastfeeding), or any other protected status under applicable law.About UsFounded in 2017, Wayve stands at the forefront of Embodied AI technology. Our cutting-edge AI software and foundational models empower vehicles to perceive, comprehend, and navigate complex environments, significantly enhancing the usability and safety of automated driving systems.We envision a future where autonomy drives progress. Our intelligent, mapless, and hardware-agnostic AI solutions are crafted for automotive manufacturers, expediting the transition from assisted driving to full automation. In our dynamic environment, we thrive on tackling significant challenges, embracing uncertainty to unlock innovative solutions. We aim high while remaining humble in our quest for excellence, continually learning and adapting as we forge a smarter, safer future.Your contributions at Wayve are valued. We celebrate diversity, welcome fresh perspectives, and cultivate an inclusive workplace where we support one another in making a meaningful impact.Join Wayve and let us shape the defining experience of your career!The RoleThe Robot Software team is responsible for the software that powers our internal fleet of vehicles, enabling autonomous driving and data collection for training new driving models. You will collaborate with a motivated and skilled team of engineers to deliver a reliable, stable, and flexible software stack that assists on-road experimentation by our model developers and scientists. Your efforts will empower these teams to iterate rapidly and gather the essential data needed to enhance our autonomous driving capabilities and support new product features, which are vital to Wayve’s mission.The OS & Kernel team within Robot Software curates Wayve's custom Linux distribution, which operates across our growing development fleet. The team collaborates closely with various divisions within Wayve, including other sections of Robot Software, hardware and supply chain teams, as well as our field engineering and reliability engineering teams. Responsibilities include developing and maintaining our Linux distribution utilizing Yocto, creating and updating Linux kernels, and ensuring optimal system performance.

Cerebras Systems is at the forefront of AI technology, developing the world’s largest AI chip that is 56 times larger than conventional GPUs. Our innovative wafer-scale architecture delivers the computational power of dozens of GPUs within a single chip, simplifying programming and enhancing performance. This unique capability enables Cerebras to provide unparalleled training and inference speeds, allowing machine learning practitioners to execute large-scale ML applications seamlessly without the complexities of managing extensive GPU or TPU infrastructures.Cerebras serves a diverse clientele, including top-tier model labs, global enterprises, and pioneering AI-native startups. OpenAI has recently partnered with Cerebras to leverage 750 megawatts of power, significantly enhancing key workloads through ultra high-speed inference.Our cutting-edge wafer-scale architecture has made Cerebras Inference the fastest Generative AI inference solution globally, achieving speeds over ten times faster than GPU-based hyperscale cloud inference services. This revolutionary speed is transforming the user experience of AI applications, facilitating real-time iteration and boosting intelligence through enhanced computational capabilities.About The RoleWe invite you to join Cerebras as a Performance & Reliability Engineer within our dynamic Co-Design and Next Generation Team. Our groundbreaking CS-3 system has established benchmarks for high-performance ML training and inference solutions, utilizing a chip the size of a dinner plate with 44GB of on-chip memory that exceeds traditional hardware capabilities. In this role, you will focus on characterizing and optimizing the performance and reliability of state-of-the-art AI models operating on Cerebras' revolutionary hardware.ResponsibilitiesCharacterize and enhance the performance and reliability of advanced ML hardware/software systems, focusing on minimizing power and thermal fluctuations.Analyze ML workloads, software kernels, and hardware architecture for their power and performance impacts, synthesizing high-level insights across these layers.Develop innovative software solutions to enhance system performance and efficiency.

As a Fleet Reliability Engineer at Applied Intuition, you will be at the forefront of ensuring the reliability and performance of our advanced fleet systems. Your expertise will play a crucial role in the development and deployment of our cutting-edge technology, optimizing fleet operations to guarantee safety and efficiency.

Illumio’s Senior Site Reliability Engineer role is based at the company’s Sunnyvale, California headquarters. This is an on-site position, requiring presence in the office five days a week. Role overview This position focuses on building and maintaining reliable, scalable infrastructure for Illumio’s applications and services, with an emphasis on Azure cloud solutions. The Senior SRE supports both SaaS and on-premises offerings, working closely with engineering teams to ensure operational resilience and security across hybrid environments. What you will do Design, deploy, and maintain highly available infrastructure on Azure for Illumio’s products. Automate provisioning and configuration management using Infrastructure as Code tools such as Terraform or ARM templates. Develop and manage CI/CD pipelines to improve software delivery and deployment processes. Monitor system and application health using Azure monitoring and logging tools, and optimize for performance and availability. Lead incident response, perform root cause analysis, and document findings to drive continuous improvement. Collaborate with development teams to design scalable, reliable architectures and provide guidance on cloud-native best practices. Engineering at Illumio The engineering team values autonomy, ownership, and collaboration. Work centers on advancing cybersecurity with scalable SaaS services and solutions for on-premises environments. The team emphasizes disciplined engineering, quality, and a supportive culture.

Join Us on Our Mission!At Illumio, we are pioneering the way organizations combat ransomware and data breaches. Our innovative breach containment platform, driven by the Illumio AI Security Graph, enables businesses to effectively identify and mitigate threats across hybrid multi-cloud environments, preventing attacks from escalating into severe crises.As a recognized leader in the Forrester Wave™ for Microsegmentation, Illumio's solutions empower organizations to adopt Zero Trust models, enhancing cyber resilience for the critical infrastructure that sustains the global economy.On-Site Work:This position requires 5 days a week on-site presence at our Sunnyvale, CA headquarters.Our Vision:Our Engineering team thrives on a culture of visionary leadership, autonomy, and ownership, fostering an innovative environment that propels us through the dynamic landscape of cybersecurity.By joining our team, you will contribute to the forefront of Zero Trust Segmentation, utilizing an advanced technology stack that encompasses diverse operating systems, distributed applications, and cutting-edge UI/visualization tools.Together, we are shaping the future of cybersecurity, committed to developing world-class products guided by diverse perspectives and a shared dedication to innovation amidst unprecedented cyber threats.Your Role:As a Site Reliability Engineer II, you will oversee our multi-cloud infrastructure on platforms such as Azure, AWS, and/or GCP. Your responsibilities will include designing new cloud services and applications, collaborating closely with Engineering, SRE/OPS, and Security teams to transition these projects from development to production.Daily tasks will involve enhancing the reliability and scalability of Illumio's SaaS products while driving continuous improvement initiatives.We seek candidates with a strong passion for cloud technology, automation, and collaboration, as well as a solid understanding of the Azure cloud platform and related DevOps practices.

We are seeking a talented and motivated Reliability Manager to join our team at dstaff, focusing on Photonic Integrated Components. In this role, you will lead initiatives to enhance the reliability of our products and ensure that they meet the highest quality standards. You will collaborate with cross-functional teams to conduct reliability testing, analyze data, and implement improvements.

Join Us in Securing the Future!At Illumio, we are pioneers in ransomware and breach containment, transforming how organizations defend against cyberattacks and fortifying operational resilience. Our innovative Illumio AI Security Graph powers a breach containment platform that swiftly identifies and neutralizes threats across hybrid multi-cloud environments, preventing minor issues from escalating into catastrophic events.As a recognized leader in the Forrester Wave™ for Microsegmentation, we enable Zero Trust, bolstering the cyber resilience of the infrastructures, systems, and organizations that keep the world functioning smoothly.Location: This role requires on-site presence in our Sunnyvale, CA headquarters five days a week.Vision of Our Team:Our Engineering team flourishes within a culture that champions visionary leadership, autonomy, and ownership. This dynamic synergy propels us forward in the constantly evolving realm of cybersecurity.As a member of our team, you will be at the forefront of Zero Trust Segmentation, working with an advanced technology stack that encompasses operating systems, distributed applications, and immersive UI/visualization tools.We're not just shaping the future of cybersecurity; we’re committed to developing world-class products led by diverse perspectives, backgrounds, and an unwavering commitment to innovation amidst unprecedented cybersecurity challenges.Your Role:As a Site Reliability Engineer II, you will oversee and optimize our multi-cloud infrastructure across Azure, AWS, and/or GCP. You will have the opportunity to design new services and applications in the cloud, guiding them from development to production while collaborating closely with Engineering, SRE/Operations, and Security teams.Your daily responsibilities will include enhancing the reliability and scalability of Illumio's SaaS offerings and spearheading continuous improvement initiatives.The ideal candidate is driven by a passion for cloud technology, automation, and collaboration, coupled with a solid foundation in Azure cloud platforms and relevant DevOps practices.Design, deploy, and maintain robust cloud infrastructure solutions on Azure, AWS, and/or GCP to support our applications and services.Implement Infrastructure as Code (IaC) principles using tools such as Terraform, ARM templates, or CloudFormation to automate provisioning and configuration management.Develop and maintain CI/CD pipelines for automated software delivery and deployment, utilizing tools like Azure DevOps, AWS CodePipeline, or Jenkins.Monitor system performance and availability, ensuring optimal operational efficiency.

Join our dynamic team as a Senior Site Reliability Engineer focused on AI/ML solutions. In this role, you will leverage your expertise to enhance the reliability, scalability, and performance of our cutting-edge AI-driven products. You will work collaboratively with cross-functional teams to design, implement, and maintain robust systems that support our mission to revolutionize surgical technology.

Your ContributionBecome an integral part of a dynamic team dedicated to developing the next generation of cybersecurity solutions from the ground up. Work alongside industry experts with a proven history of innovation as you design, construct, and launch groundbreaking products that will make a significant impact in the field. This role offers you the chance to enhance your career and skills as part of a world-class organization from the very outset.Job ResponsibilitiesYou will play a pivotal role in architecting and implementing the platform layer, from the Bootloader to system software, for a large-scale embedded system. This encompasses image and software lifecycle management, including packaging, upgrades, high availability, and telemetry/debug infrastructure. You will have the chance to design and implement this system from the ground up.

Cerebras Systems is at the forefront of AI innovation, manufacturing the largest AI chip in the world, which is 56 times bigger than conventional GPUs. Our cutting-edge wafer-scale architecture provides the computational power equivalent to dozens of GPUs on a single chip, simplifying programming to the level of a single device. This pioneering approach enables us to offer unmatched training and inference speeds, allowing machine learning practitioners to smoothly execute large-scale ML applications without the complexity of managing numerous GPUs or TPUs. Our clientele includes leading model laboratories, major global corporations, and innovative AI-native startups. Notably, OpenAI has recently partnered with Cerebras to leverage 750 megawatts of scale, revolutionizing critical workloads with ultra-high-speed inference. Our advanced wafer-scale architecture makes Cerebras Inference the fastest Generative AI inference solution available, outperforming GPU-based hyperscale cloud inference services by over tenfold. This remarkable speed enhancement is reshaping the user experience of AI applications, enabling real-time iterations and enhanced intelligence through additional agentic computation.In late 2024, we launched Cerebras Inference, setting a new standard for Generative AI inference speed. Since its launch, we have rapidly scaled our services to meet the rising demand from AI labs, enterprises, and a vibrant developer community.In October 2025, we celebrated our Series G funding round, successfully raising $1.1 billion USD to accelerate the growth of our product offerings and services to satisfy global AI demand.About the TeamThe Cerebras Inference team is dedicated to delivering the most efficient, secure, and reliable enterprise-grade AI service. We design and manage expansive distributed systems that facilitate AI inference with unparalleled speed and efficiency. Join us in scaling our inference capabilities to new heights!

Role Overview Intuitive Surgical seeks a Manager of Supplier Engineering to guide the engineering processes that support supplier quality and performance. This position is based in Sunnyvale. What You Will Do Lead a team of engineers focused on supplier relationships and performance. Develop and maintain strong partnerships with suppliers. Drive continuous improvement efforts across supplier operations. Ensure supplier compliance with relevant regulations and standards. Support innovation in surgical product development through supplier collaboration.

Join Intuitive Surgical, a pioneering leader in minimally invasive robotic-assisted surgery, as a Managing Staff Engineer. In this critical role, you will oversee engineering projects and lead a talented team of engineers to innovate and improve our surgical systems. You will have the opportunity to drive advancements in technology and contribute to transforming surgical practices across the globe.

Join our dynamic team as a Manufacturing Engineering Manager at Intuitive Surgical, Inc. in Sunnyvale, California. In this pivotal role, you will lead a talented team of engineers focused on enhancing manufacturing processes and ensuring the highest quality standards in our innovative surgical systems. Your leadership will drive continuous improvement initiatives and foster a culture of excellence within the manufacturing department.

Join Us in Shaping the Future!At Illumio, we are pioneers in ransomware and breach containment, transforming how organizations manage cyber threats and ensure operational resilience. Our advanced Illumio AI Security Graph empowers our breach containment platform to identify and contain threats across hybrid multi-cloud environments, effectively halting the spread of attacks before they escalate into crises.As acknowledged leaders in the Forrester Wave™ for Microsegmentation, we facilitate Zero Trust frameworks that enhance cyber resilience for critical infrastructures and organizations worldwide.Location: 5 days a week on-site at our Sunnyvale, CA Headquarters.Our Team's Vision:Our Engineering team thrives on a culture fueled by visionary leadership, autonomy, and a strong sense of ownership. This dynamic synergy propels us forward in the rapidly evolving realm of cybersecurity.When you join us, you become part of a leading force in Zero Trust Segmentation, engaging with a cutting-edge technology stack that spans operating systems, distributed applications, and immersive UI/visualization tools.We are committed to shaping the future of cybersecurity and building world-class products driven by diverse perspectives and a dedication to innovation in these unprecedented times of cyber threats.Your Impact:As the Senior Manager of Cloud Engineering, you will lead a talented team focused on developing scalable, distributed cloud services through containerized microservices within a multi-cloud environment. You will steer the design, development, and delivery of cloud solutions, ensuring high standards for automation, observability, and operational excellence.Lead and manage a cloud engineering team dedicated to developing distributed microservices for a multi-tenant, scalable platform.Supervise cloud service development, prioritizing performance, security, and reliability.Establish coding standards, engage in code and design reviews, and ensure high-quality automation and testing.Collaborate with Product Management to align development efforts with business objectives.Oversee the entire software development lifecycle, from requirements gathering to deployment and operations.Cultivate a culture of continuous learning and innovation, embracing best practices in cloud engineering.

Join DoorDash as an Engineering Manager and play a pivotal role in shaping our transportation and logistics strategies for long-distance deliveries across the United States. This dynamic team is responsible for innovating beyond traditional food delivery methods, unlocking new business opportunities, and driving significant growth. You will lead a cross-functional team focused on both pioneering initiatives and scaling established businesses, ultimately enhancing merchant growth and optimizing earning opportunities for drivers. The scope of your work will encompass mobile, backend, and web components, tackling complex challenges such as integration with external transportation aggregators and developing our proprietary Transportation Management System (TMS). Our mission is to design industry-leading mid-mile logistics solutions that empower businesses to deliver items seamlessly throughout their cities and across the nation.

Managing Staff Mechanical EngineerAt Intuitive Surgical, we are revolutionizing the healthcare landscape through our state-of-the-art robotic surgical platforms designed to improve patient outcomes and transform surgical practices. Our dedicated team is at the forefront of pioneering surgical robotics technology. We are in search of a Managing Staff Mechanical Engineer who will spearhead the mechanical engineering initiatives for innovative robotic capital equipment in an exciting new clinical application.Why You Should Join Our Team:Lead the comprehensive development of cutting-edge surgical robotic system hardware — from initial concept and prototyping to manufacturing and market launch.Work collaboratively with clinicians and multidisciplinary teams (software, electrical, controls) to deliver innovative, integrated solutions.Steer technical strategy and provide hands-on leadership in a dynamic, entrepreneurial environment.Participate in early architectural decisions, shaping a new system and product portfolio aimed at minimizing surgical invasiveness and enhancing patient outcomes globally.Key Responsibilities:Oversee and mentor a small, high-performing team of mechanical engineers dedicated to robotic systems for minimally invasive surgery.Adopt a “player-coach” approach; engage in tackling complex technical challenges with creativity, rigorous engineering analysis, and rapid design iteration.Manage all stages of mechanical design, from prototype development to testing and validation, ensuring durable and reliable products.Direct cross-functional projects, managing scope, schedule, budget, and risks to meet aggressive development objectives.Contribute to strategy formulation and execution for product development, regulatory submissions, and intellectual property generation.Promote a culture of innovation, quality, and continuous improvement within the team and across departments.Serve as a key technical resource, resolving intricate design and manufacturing issues while integrating inputs from various disciplines.Provide updates on team progress and risks to senior management, ensuring transparent and proactive communication.

About Applied Intuition Applied Intuition, Inc. builds digital infrastructure that brings intelligence to physical machines. Founded in 2017 and based in Sunnyvale, California, the company is valued at $15 billion. Applied Intuition serves sectors such as automotive, defense, trucking, construction, mining, and agriculture, focusing on tools and infrastructure, operating systems, and autonomy. Its technology supports 18 of the top 20 global automakers, the United States military, and allied forces. In addition to its Sunnyvale headquarters, Applied Intuition has offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. More information is available at applied.co. Work Location and Flexibility Applied Intuition values in-person collaboration. Employees are expected to work from the Sunnyvale office five days a week. Some flexibility is possible, such as handling morning meetings from home or adjusting hours for family needs.