2 Ucx Jobs

As an AI Infrastructure Engineer at Cisco, you will join an innovative team with a mission to revolutionize how enterprises utilize AI. Operating with the agility of a startup and the focus of an incubator, we are building a close-knit group of AI and infrastructure experts. Our team is driven by bold ideas and a shared goal: to rethink systems from the ground up and deliver breakthrough solutions that redefine what is possiblefaster, leaner, and smarter. In this dynamic environment, where experimentation is abundant and new technologies are not just welcome but expected, you will collaborate with seasoned engineers, architects, and thinkers. Together, we craft iconic products that have the potential to reshape industries and unlock entirely new operational models for enterprises. If you are energized by solving challenging problems, enjoy pushing the boundaries of what is achievable, and aspire to shape the future of AI infrastructure, we are eager to meet you. Your role as an AI Infrastructure Engineer at Cisco will be instrumental in designing and implementing next-generation AI products. You will be focused on delivering high-performance, efficient, and reliable solutions that power AI workloads across Cisco's ecosystem. Your work will directly impact the performance, efficiency, reliability, and availability of AI systems for Cisco's customers, as well as drive advancements in AI and machine learning infrastructure. Key Responsibilities: - Design and develop node-level infrastructure components to support high-performance AI workloads. - Benchmark, analyze, and optimize the performance of AI infrastructure, including CUDA kernels and memory management for GPUs. - Minimize downtime through seamless configuration and upgrade architecture for software components. - Manage the installation and deployment of AI infrastructure on Kubernetes clusters, utilizing CRDs and operators. - Develop and deploy efficient telemetry collection systems for nodes and hardware components without impacting workload performance. - Work with distributed system fundamentals to ensure scalability, resilience, and reliability. - Collaborate across teams and time zones to shape the overall direction of AI infrastructure development and achieve shared goals. Minimum Qualifications: - Proficiency in programming languages such as Rust, C/C++, Golang, Python, or eBPF. - Strong understanding of Linux operating systems, including user space and kernel-level components. - Experience with Linux user space development, including packaging, logging, telemetry, and lifecycle management of processes. - Strong understanding of Kubernetes (K8s) and related technologies, such as custom resource definitions (CRDs). - Strong debugging and problem-solving skills for complex system-level issues. - Bachelor's degree or higher and a minimum of 5 years of relevant engineering work experience. Preferred Qualifications: - Linux kernel and device driver hands-on expertise is a plus. - Experience in GPU programming and optimization, including CUDA, UCX is a plus. - Experience with high-speed data transfer technologies such as RDMA. - Use of Nvidia GPU operators and Nvidia container toolkit and Nsight, CUPTI. - Nvidia MIG and MPS concepts for managing GPU consumption. At Cisco, we are dedicated to fostering an inclusive future where every individual brings their unique skills and perspectives together. Our employees celebrate diversity and focus on unlocking potential. We prioritize learning and development at every stage, offering opportunities for growth and multiple career paths. Our technology, tools, and culture support hybrid work trends, allowing everyone to excel and thrive. As a company, we recognize our responsibility to bring communities together, and our people are at the heart of that mission. One-third of our employees collaborate in our 30 employee resource organizations, known as Inclusive Communities, to connect, foster belonging, advocate for inclusivity, and make a positive impact. We provide dedicated paid time off for volunteering, allowing our employees to give back to causes they are passionate aboutnearly 86% of our employees actively participate. At Cisco, our purpose is driven by our people, making us a global leader in technology that powers the internet. We help our customers reimagine their applications, secure their enterprise, transform their infrastructure, and achieve their sustainability goals. Every step we take is a step towards a more inclusive future for all. Join us in taking your next step and being your authentic self with Cisco.,

We are an innovation team on a mission to transform how enterprises harness AI. Operating with the agility of a startup and the focus of an incubator, we're building a tight-knit group of AI and infrastructure experts driven by bold ideas and a shared goal: to rethink systems from the ground up and deliver breakthrough solutions that redefine what's possible faster, leaner, and smarter. We thrive in a fast-paced, experimentation-rich environment where new technologies aren't just welcome they're expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise. If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure we'd love to meet you. Cisco is seeking a forward-thinking AI Infrastructure Engineer to help design and implement the next-generation AI products. This role will focus on delivering high-performance, efficient, and reliable solutions that power AI workloads across Cisco's ecosystem. As an AI Infrastructure Engineer at Cisco, you will play a pivotal role in shaping the AI systems that enable cutting-edge innovations. Your work will directly impact: - The performance and efficiency of AI workloads on the node. - The reliability and availability of AI systems for Cisco's customers. - Advancements in AI and machine learning infrastructure, enabling better utilization and improving efficiency for applications across industries. - Collaboration across internal teams to bring system-level innovation across different Cisco products. Your contributions will help Cisco maintain its leadership in AI infrastructure development and influence the broader AI and machine learning community. Key Responsibilities: - Design and develop node-level infrastructure components to support high-performance AI workloads. - Benchmark, analyze, and optimize the performance of AI infrastructure, including CUDA kernels and memory management for GPUs. - Minimize downtime through seamless config and upgrade architecture for software components. - Manage the installation and deployment of AI infrastructure on Kubernetes clusters, including the use of CRDs and operators. - Develop and deploy efficient telemetry collection systems for nodes and hardware components without impacting workload performance. - Work with distributed system fundamentals to ensure scalability, resilience, and reliability. - Collaborate across teams and time zones to shape the overall direction of AI infrastructure development and achieve shared goals. Minimum Qualifications: - Proficiency in programming languages such as Rust, C/C++, Golang, Python, or eBPF. - Strong understanding of Linux operating systems, including user space and kernel-level components. - Experience with Linux user space development, including packaging, logging, telemetry, and lifecycle management of processes. - Strong understanding of Kubernetes (K8s) and related technologies, such as custom resource definitions (CRDs). - Strong debugging and problem-solving skills for complex system-level issues. - Bachelor's degree+ and relevant 5+ years of Engineering work experience. Preferred Qualifications: - Linux kernel and device driver hands-on expertise is a plus. - Experience in GPU programming and optimization, including CUDA, UCX is a plus. - Experience with high-speed data transfer technologies such as RDMA. - Use of Nvidia GPU operators and Nvidia container toolkit and Nsight, CUPTI. - Nvidia MIG and MPS concepts for managing GPU consumption. #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection we celebrate our employees" diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer 80 hours each year allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!,