Technology Enablement Engineer (AI Infrastructure)

Location: Ann Arbor, Michigan, United States; onsite

Salary: $129,600–$190,067 annually

Company

hirify.global develops inspection tools, metrology systems, process solutions, and computational analytics used to manufacture advanced electronics.

What you will do

• Design and deploy scalable, multi-node GPU clusters on Kubernetes, including compute, networking, storage, scheduling, security, and observability.
• Build distributed training and reinforcement learning platforms with Ray, NVIDIA NeMo RL, PyTorch, and JAX.
• Deploy and optimize high-throughput LLM inference using vLLM, SGLang, and NVIDIA Dynamo.
• Implement GPU scheduling, quotas, isolation, autoscaling, health monitoring, and capacity management for multi-tenant environments.
• Profile and troubleshoot GPU workloads across compute, memory, networking, and storage layers using NVIDIA diagnostic tools.
• Automate provisioning, upgrades, deployments, and operational recovery with infrastructure-as-code and GitOps practices while contributing to open-source AI infrastructure.

Requirements

• Bachelor's degree and eight years of software engineering experience.
• At least four years in software, cloud, platform, HPC, or infrastructure engineering, including two years supporting distributed AI/ML workloads.
• Hands-on experience building GPU clusters from the ground up and operating them at production scale.
• Deep Kubernetes expertise, including operators, CRDs, Helm, networking, storage, scheduling, and cluster lifecycle management.
• Production experience with Ray and at least two of NVIDIA NeMo RL, vLLM, SGLang, or NVIDIA Dynamo.
• Strong knowledge of NVIDIA GPUs, CUDA, NCCL, GPU Operator, DCGM, MIG, RDMA, containers, CI/CD, GitOps, infrastructure-as-code, Python, and Linux.

Nice to have

• Experience with Google TPUs and TPU-oriented frameworks or distributed workloads.
• Experience with large language model training, fine-tuning, RLHF, or agentic reinforcement learning.
• Knowledge of TensorRT-LLM, Triton Inference Server, DeepSpeed, Megatron-LM, or similar performance-oriented frameworks.
• Experience operating secure, multi-tenant AI platforms in enterprise or regulated environments.

Culture & Benefits

• Full-time employment with medical, dental, vision, life, and other benefits.
• 401(k) with company matching and an employee stock purchase program.
• Paid time off, company holidays, and family care and bonding leave.
• Tuition reimbursement, student debt assistance, financial planning, wellness, and career development programs.
• Equal opportunity employment with reasonable accommodation available for qualified individuals with disabilities.