Gatik
Senior Cloud 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 Cloud Infrastructure, DevOps, or MLOps supporting high-scale compute environments.
About the job
Architects and operates scalable cloud, GPU, data, and ML infrastructure that supports autonomous-driving model training, deployment, and simulation.
What you'll do
- Build and manage Kubernetes-based GPU infrastructure, infrastructure-as-code, and self-healing operations.
- Develop data, CI/CD, and MLOps pipelines for sensor data, model lifecycle management, and deployment.
- Support distributed multi-node model training and optimize cluster networking and performance.
What they ask for
- 5+ years in Cloud Infrastructure, DevOps, or MLOps supporting high-scale compute environments.
- Deep expertise in K8s, Helm, and container orchestration.
- Strong background in Apache Airflow, Argo Workflows, MLFlow, and Terraform.
- Practical experience with Ray and PyTorch Distributed; proficiency in Python and Bash, and understanding of IAM/RBAC.
Nice to have
- Deep understanding of FSDP and DeepSpeed.
- Experience with agentic workflows (LangGraph, AutoGen) or familiarity with Model Context Protocol (MCP).
Pay
$180,000- $240,000 USD base salary
Tools
Kubernetes, Helm, Apache Airflow, Argo Workflows, MLFlow, Terraform, Ray, PyTorch Distributed
AI focus
Builds infrastructure for autonomous-driving AI, including distributed model training, MLOps, model serving, and AI-agent workflows for infrastructure monitoring and automation.
Model-written summary · the original posting is authoritative