Sr. Site Reliability Engineer, MLOps, Infrastructure Engineering - Fremont [250321]

$140,000 - $300,000 yearly

Job Description

Our team manages multiple functions across Tesla that includes Devops, MLOps, Cloud Infrastructure (AWS, Azure, GCP), Factory SRE as well. Continued development and automation of deployment, monitoring, self-healing and alerting processes is imperative to the success of our engineering groups. As a Site Reliability Engineer, you will be responsible for maintaining and improving our platform to ensure our cross functional teams have the necessary tools and resources to be productive.

The Role

  • Mature our Machine Learning Operations Platform and advocate best practices to MLops engineers
  • Design and implement scalable, automated workflows for the complete ML lifecycle
  • Maintain Kubernetes-based infrastructure for model training, deployment, and monitoring
  • Develop solutions for workload orchestration and time-slicing using tools like Flyte and Ray
  • Collaborate with engineers to build and maintain robust, pipelines for training and inference workflows
  • Develop Infrastructure-as-Code (IaC) solutions for deploying and managing cloud/on-prem ML environments
  • Design and develop intuitive, user-friendly self-service portals using React to enable data scientists and engineers to manage ML pipelines, monitor models, and access resources seamlessly
  • Package & deploy applications using Helm charts / deploy via ArgoCD
  • Participate in 24x7 on-call rotation

Requirements

  • Strong hands-on experience with tools and frameworks like Kubernetes, Kubeflow, MLflow, Flyte / Ray
  • Proven experience with React for building interactive web applications, especially self-service portals that enhance the user experience for managing ML pipelines and workflows
  • Expertise in MIG, time-slicing, and scaling AI workloads efficiently
  • Proficiency in Python, Golang and bash for pipeline development, and automation
  • Proficiency with Linux fundamentals and performance optimizations
Anthony Antonucci

Qualifications

Relevant experience in Engineering & Information Technology; strong problem-solving skills; commitment to Tesla mission.

Immediate Fill

No