Forward Deployed Engineer I

Hiringeye Solutions; Bengaluru; Hybrid; INR 400,000 - 700,000; Full time

Job summary

Hiringeye Solutions is seeking a Senior FDE with deep expertise in AI infrastructure, GPU clusters, Kubernetes and distributed systems to work with customers on production AI workloads. You will design and optimize GPU infrastructure and LLM inference platforms.

You will deploy and manage Kubernetes-based AI infrastructure, automate with Terraform, Ansible and Helm, and troubleshoot GPU drivers and networking. Strong customer-facing skills are essential.

Qualifications

• 6+ years of experience in AI infrastructure, FDE, distributed systems, or technical consulting.
• Strong Linux, Kubernetes, Python, and Go skills.
• Hands-on experience with NVIDIA/AMD GPU infrastructure and CUDA/ROCm.
• Knowledge of LLM inference, GPU optimization, RDMA/InfiniBand/RoCE.
• Experience with Terraform/Helm in production cloud infrastructure.
• Strong customer-facing and problem-solving skills.

Responsibilities

• Design and optimize GPU infrastructure and LLM inference platforms.
• Work with NVIDIA/AMD GPUs, CUDA/ROCm, vLLM, TensorRT-LLM, and SGLang.
• Deploy and manage Kubernetes-based AI infrastructure.
• Automate infrastructure using Terraform, Ansible, and Helm.
• Troubleshoot GPU drivers, NCCL/RCCL, networking, and storage issues.
• Collaborate directly with customer engineering teams to deliver production AI solutions.

Skills

AI Infrastructure

FDE

Distributed Systems

Kubernetes

Python

Go

GPU Infrastructure

CUDA/ROCm

Terraform

Helm

NCCL/RCCL

Job description

We are looking for a Senior FDE with strong expertise in AI infrastructure, GPU clusters, Kubernetes, and distributed systems to work directly with customers on production AI workloads.

Key Responsibilities

• Design and optimize GPU infrastructure and LLM inference platforms.
• Work with NVIDIA/AMD GPUs, CUDA/ROCm, vLLM, TensorRT-LLM, and SGLang.
• Deploy and manage Kubernetes-based AI infrastructure.
• Automate infrastructure using Terraform, Ansible, and Helm.
• Troubleshoot GPU drivers, NCCL/RCCL, networking, and storage issues.
• Collaborate directly with customer engineering teams to deliver production AI solutions.

Required Skills

• 6+ years of experience in AI Infrastructure, FDE, Distributed Systems, or Technical Consulting.
• Strong Linux, Kubernetes, Python, and Go skills.
• Hands-on experience with NVIDIA/AMD GPU infrastructure and CUDA/ROCm.
• Knowledge of LLM inference, GPU optimization, RDMA/InfiniBand/RoCE.
• Experience with Terraform/Helm and production cloud infrastructure.
• Strong customer-facing and problem-solving skills.

Preferred: Experience with production AI systems, GPU vendors/cloud platforms, and high-performance computing environments.