Gatik
Senior AI Infrastructure Engineer
$180K–$240K
Santa Clara, CA +1 · Senior · Full-time · Posted Mar 17, 2026
- Location
- Santa Clara, CA
Santa Clara, California, United States - Experience
- 5+ years in ML infrastructure, MLOps, or DevOps supporting high-scale compute environments.
About the job
Build and scale the AI infrastructure that supports autonomous-driving model training, experiment management, deployment, and operations.
What you'll do
- Scale distributed multi-GPU training and optimize cluster performance, networking, and GPU scheduling.
- Build agent-driven infrastructure, DevOps, and data-automation workflows; manage the model lifecycle and deployment strategies.
- Develop data pipelines and monitoring for infrastructure health, model performance, and drift.
What they ask for
- 5+ years in ML infrastructure, MLOps, or DevOps supporting high-scale compute environments.
- Deep understanding of multi-GPU training strategies and high-performance networking.
- Mastery of Kubernetes, Terraform, and Helm; expertise in MLFlow and Argo Workflows.
- Proficiency in Python and Bash; experience with Docker, Apache Airflow, Kafka, Spark, and GitOps automation.
Nice to have
- Experience with Go or Rust.
- Familiarity with MCP, hybrid cloud and on-prem GPU clusters, or LLM-based observability.
Pay
$180,000- $240,000 USD base salary
Tools
PyTorch Distributed, Ray Train, NCCL, Kubernetes, Terraform, Helm, MLFlow, Argo Workflows
AI focus
Build infrastructure for autonomous-driving AI, including distributed model training, model deployment, and autonomous AI agents for infrastructure monitoring, DevOps, and data curation.
Model-written summary · the original posting is authoritative