Infrastructure and Cloud Engineer

Bostondynamicsaiinstitute in Cambridge, MA

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
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
    • 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
    • 5+  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 E
    • Experience with git, issue tracking, CI/CD, and modern software engineering practices
    • Experience with Grafana and Prometheus
    • 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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