Senior Staff Engineer, ML Ops (R4941)

Location: San Mateo, California; on-site

Company

hirify.global builds autonomy systems for defense applications across air, maritime, and space platforms.

What you will do

• Design and implement the AI Factory Reference Architecture as a Kubernetes-native platform for AI development, distributed training, simulation, evaluation, and deployment.
• Partner with ML researchers and autonomy teams to support foundation model development, reinforcement learning, distributed training, and evolving research workflows.
• Build self-service developer workflows that support movement from local experimentation to large-scale distributed execution.
• Develop shared GPU infrastructure and improve scheduling, storage, networking, observability, resource utilization, and reliability.
• Enable dataset management, experiment tracking, artifact management, model versioning, evaluation, deployment, monitoring, and continuous model improvement.
• Create repeatable infrastructure deployment and lifecycle management solutions for commercial cloud, on-premises, sovereign, and air-gapped environments.

Requirements

• Experience building Kubernetes-native AI or MLOps platforms for distributed machine learning workloads.
• Deep knowledge of PyTorch, Hugging Face Transformers, modern AI training frameworks, and distributed training techniques.
• Experience operating GPU-accelerated infrastructure and distributed training systems.
• Strong understanding of Kubernetes, Linux, networking, security, storage, and distributed systems.
• Experience with Terraform, Helm, Python, Golang, and modern cloud-native technologies.
• Experience translating ML research workflows into scalable platform capabilities.

Nice to have

• Experience with Ray, KAI, Slurm, or other distributed AI orchestration and GPU scheduling technologies.
• Experience with reinforcement learning, simulation-driven training, robotics, autonomy workloads, or edge AI deployment.
• Experience designing infrastructure for classified, sovereign, or air-gapped environments.
• Experience with OpenTelemetry, Prometheus, Grafana, or open-source infrastructure projects.

Culture & Benefits

• Work at the intersection of modern AI, distributed systems, Kubernetes, and defense.
• Build a reference architecture used by internal engineering teams and delivered to customers.
• Contribute to an open-source-oriented AI infrastructure ecosystem.