Forward Deployed Engineer I at Hiringeye… · Hybrid -…

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.