Member Of Technical Staff - Training Platform (AI Infrastructure)

TL;DR

Member of Technical Staff - Training Platform (AI Infrastructure): Building a hosted training platform for LoRA and full fine-tuning runs on managed GPU clusters with an accent on Kubernetes orchestration and Python control-plane development. Focus on implementing scheduling for heterogeneous hardware, developing real-time monitoring tools, and productizing new RL training capabilities.

Location: San Francisco or Remote. Full visa sponsorship and relocation support provided.

Salary: $150K–$300K with significant equity

Company

hirify.global is building the open superintelligence stack to enable researchers and enterprises to run end-to-end reinforcement learning at frontier scale.

What you will do

• Design and operate Kubernetes-based training and inference orchestration across multi-cluster, multi-cloud GPU fleets.
• Build Helm charts for reproducible training stacks and develop Python control-plane agents to sync clusters.
• Implement scheduling and autoscaling for H100/H200/B200 hardware using KEDA, LeaderWorkerSet, and gang scheduling.
• Develop developer-facing platform surfaces for job submission and live run monitoring using FastAPI, Next.js, and React.
• Build real-time monitoring tools for streaming logs, step-level metrics, and failure analysis.
• Interface with RL trainers and inference servers to productize new training capabilities and model architectures.

Requirements

• Strong working knowledge of the AI stack: finetuning (LoRA, RLHF), inference engines (vLLM, SGLang), and GPU hardware (NVLink, memory hierarchy).
• Deep Kubernetes operations experience including Helm, CRDs, Operators, KEDA, and GPU operator.
• Proficient Python backend development (FastAPI, async, SQLAlchemy) and modern frontend skills (TypeScript, React, Next.js).
• Experience with GCP (GKE, GCS, Cloud Run) and infrastructure automation via Terraform and Ansible.
• Strong understanding of distributed training fundamentals (data/tensor/pipeline parallelism, NCCL).
• Experience building developer tools, dashboards, and live-monitoring UIs.

Culture & Benefits

• Competitive cash compensation ($150K–$300K) with significant equity.
• Flexible work arrangement with the option for remote work or San Francisco office.
• Full visa sponsorship and relocation support.
• Professional development budget for courses and conferences.
• Regular team off-sites and a culture of contributing to the open-source AI community.