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Infrastructure and Cloud Engineer

3 months ago

Cambridge, United States The AI Institute Full time
Our Mission

Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.

Software Engineers will work cross-functionally, creating new technology to improve software development for robots. If you have a passion for developing technology for robots and use it to advance their capabilities and usefulness, you will want to join us We are onsite in our new Cambridge, MA office where we are building a collaborative and exciting new organization

Responsibilities
    • Operate our on-premise and cloud training and production infrastructure
    • Develop our container orchestration in Kubernetes and Helm
    • Develop Infrastructure as Code (Ansible, Terraform)
    • Partner closely with research and applied science teams to put models into production
    • Promote quality and reliability through regular code reviews
    • Strong communication skills
Requirements
    • 10+ years of industry experience developing applications, designing data architectures (e.g. data pipelines, distributed computing engines, ML infrastructure design), or writing software using scripting languages (e.g. Python, R)
    • BS or MS in computer science, engineering, data science, or related technical, math, or scientific field
    • Experience with C++ or Python
    • Experience with git, issue tracking, CI/CD, and modern software engineering practices
    • Experience with Grafana and Prometheus
Bonus (Not Required)
    • Experience architecting large-scale distributed infrastructure
    • Experience with high performance computing (HPC) environments (Slurm/Mesos)
    • Experience with cloud computing infrastructure, either AWS/GCP and distributed computing libraries (e.g. Spark, Hive, Impala, Kafka, etc.)
    • Experience with containerization and orchestration tools (e.g. Docker, Singularity, Airflow, Luigi, Kubernetes, etc)
    • Experience with Airflow
    • Experience with CI/CD and automation tools (Terraform, CloudFormation, Jenkins, Ansible, etc.)
    • Experience with data processing, logging, and visualization tools


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