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AI Infrastructure Engineer - C++ & Golang | Artificial Intelligence | Linux | Kubernetes | Docker | 8-12 Yrs

Cisco

Software and Technology Jobs

AI Infrastructure Engineer - C++ & Golang | Artificial Intelligence | Linux | Kubernetes | Docker | 8-12 Yrs

full-timePosted: Nov 13, 2025

Job Description

Job ID: 1445534

Meet the Team
 

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.


IMPACT


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 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 8-12 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.

Why Cisco? 

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. 

We are Cisco, and our power starts with you. 

Locations

  • Bangalore, India

Salary

2,965,900 - 4,621,300 INR / yearly

Skills Required

  • C/C++intermediate
  • Golangintermediate
  • Pythonintermediate
  • eBPFintermediate
  • Linuxintermediate
  • Kubernetesintermediate
  • Dockerintermediate
  • CUDAintermediate
  • RDMAintermediate
  • Nvidia GPU operatorsintermediate
  • Nsightintermediate
  • CUPTIintermediate
  • Nvidia MIGintermediate
  • Nvidia MPSintermediate

Required Qualifications

  • Proficiency in programming languages such as C/C++, Golang, Python, or eBPF. (experience)
  • Strong understanding of Linux operating systems, including user space and kernel-level components. (experience)
  • Experience with Linux user space development, including packaging, logging, telemetry and lifecycle management of processes. (experience)
  • Strong understanding of Kubernetes (K8s) and related technologies, such as custom resource definitions (CRDs). (experience)
  • Strong debugging and problem-solving skills for complex system-level issues. (experience)
  • Bachelor’s degree+ and relevant 8-12 years of Engineering work experience. (experience)

Preferred Qualifications

  • Linux kernel and device driver hands-on expertise is a plus. (experience)
  • Experience in GPU programming and optimization, including CUDA, UCX is a plus. (experience)
  • Experience with high-speed data transfer technologies such as RDMA. (experience)
  • Use of Nvidia GPU operators and Nvidia container toolkit and Nsight, CUPTI. (experience)
  • Nvidia MIG and MPS concepts for managing GPU consumption. (experience)

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.

Benefits

  • general: Worldwide network of doers and experts
  • general: Opportunities to grow and build are limitless
  • general: Work as a team, collaborating with empathy to make really big things happen on a global scale

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Cisco logo

AI Infrastructure Engineer - C++ & Golang | Artificial Intelligence | Linux | Kubernetes | Docker | 8-12 Yrs

Cisco

Software and Technology Jobs

AI Infrastructure Engineer - C++ & Golang | Artificial Intelligence | Linux | Kubernetes | Docker | 8-12 Yrs

full-timePosted: Nov 13, 2025

Job Description

Job ID: 1445534

Meet the Team
 

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.


IMPACT


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 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 8-12 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.

Why Cisco? 

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. 

We are Cisco, and our power starts with you. 

Locations

  • Bangalore, India

Salary

2,965,900 - 4,621,300 INR / yearly

Skills Required

  • C/C++intermediate
  • Golangintermediate
  • Pythonintermediate
  • eBPFintermediate
  • Linuxintermediate
  • Kubernetesintermediate
  • Dockerintermediate
  • CUDAintermediate
  • RDMAintermediate
  • Nvidia GPU operatorsintermediate
  • Nsightintermediate
  • CUPTIintermediate
  • Nvidia MIGintermediate
  • Nvidia MPSintermediate

Required Qualifications

  • Proficiency in programming languages such as C/C++, Golang, Python, or eBPF. (experience)
  • Strong understanding of Linux operating systems, including user space and kernel-level components. (experience)
  • Experience with Linux user space development, including packaging, logging, telemetry and lifecycle management of processes. (experience)
  • Strong understanding of Kubernetes (K8s) and related technologies, such as custom resource definitions (CRDs). (experience)
  • Strong debugging and problem-solving skills for complex system-level issues. (experience)
  • Bachelor’s degree+ and relevant 8-12 years of Engineering work experience. (experience)

Preferred Qualifications

  • Linux kernel and device driver hands-on expertise is a plus. (experience)
  • Experience in GPU programming and optimization, including CUDA, UCX is a plus. (experience)
  • Experience with high-speed data transfer technologies such as RDMA. (experience)
  • Use of Nvidia GPU operators and Nvidia container toolkit and Nsight, CUPTI. (experience)
  • Nvidia MIG and MPS concepts for managing GPU consumption. (experience)

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.

Benefits

  • general: Worldwide network of doers and experts
  • general: Opportunities to grow and build are limitless
  • general: Work as a team, collaborating with empathy to make really big things happen on a global scale

Target Your Resume for "AI Infrastructure Engineer - C++ & Golang | Artificial Intelligence | Linux | Kubernetes | Docker | 8-12 Yrs" , Cisco

Get personalized recommendations to optimize your resume specifically for AI Infrastructure Engineer - C++ & Golang | Artificial Intelligence | Linux | Kubernetes | Docker | 8-12 Yrs. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "AI Infrastructure Engineer - C++ & Golang | Artificial Intelligence | Linux | Kubernetes | Docker | 8-12 Yrs" , Cisco

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Answer 10 quick questions to check your fit for AI Infrastructure Engineer - C++ & Golang | Artificial Intelligence | Linux | Kubernetes | Docker | 8-12 Yrs @ Cisco.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.