Job Openings

AI Infrastructure Engineer, Cisco

Written By : Srinivas
Reviewed By : Sankha Ghosh

Cisco is a technology company focused on innovation, revolutionizing how enterprises utilize AI. The role of an AI Infrastructure Engineer includes designing and implementing high-performance and reliable AI systems that support workloads across Cisco’s ecosystem. This position plays a crucial role in enhancing AI efficiency and reliability while promoting collaboration to create groundbreaking solutions that redefine enterprise operations and uphold Cisco’s leadership in AI infrastructure.

Location: Bangalore, India

Technology Interest: Software Development

Area of Interest: Engineer - Software

Job Type: Professional

Job ID: 1445534

Apply: Click Here

Primary Responsibilities

As an AI Infrastructure Engineer at Cisco, you will:

  • 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 GPU memory management.

  • 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 that do not impact workload performance.

  • Work with fundamental concepts of distributed systems 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

  • Experience with programming languages such as Rust, C/C++, Golang, Python, or eBPF.

  • Familiarity with Linux operating systems at both the user space and kernel level.

  • Experience with Linux user space development, including packaging, logging, telemetry, and lifecycle management of processes.

  • Familiarity with Kubernetes (K8s) and related technology, such as custom resource definitions (CRDs).

  • Ability to debug and problem solve at a system level for complex issues.

  • A Bachelor's degree plus 5 years of relevant engineering experience.

Preferred Qualifications

  • Experience with the Linux kernel and device drivers is a plus.

  • Experience with GPU programming and optimization, including CUDA and UCX, is a plus.

  • Experience with high-speed data transfer technologies such as RDMA.

  • Experience with the use of Nvidia GPU operators, Nvidia container toolkit, and Nsight, CUPTI.

  • Experience with Nvidia MIG and MPS concepts for managing GPU consumption.

About Cisco

Cisco is a worldwide technology leader that is reinventing how enterprises leverage AI. We act like a start-up with our innovation team, building enterprise-level, cutting-edge AI infrastructure and software solutions, and enabling them to collaborate on ideas and prototype new solutions at a high pace. Our culture is built on diversity, continuous education, and empowering our employees to create industry-defining breakthroughs.

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