The AI Institute
Infrastructure and Cloud Engineer
The AI Institute, Cambridge, Massachusetts, us, 02140
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
ResponsibilitiesOperate our on-premise and cloud training and production infrastructureDevelop our container orchestration in Kubernetes and HelmDevelop Infrastructure as Code (Ansible, Terraform)Partner closely with research and applied science teams to put models into productionPromote quality and reliability through regular code reviewsStrong communication skillsRequirements
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 fieldExperience with C++ or PythonExperience with git, issue tracking, CI/CD, and modern software engineering practicesExperience with Grafana and PrometheusBonus (Not Required)
Experience architecting large-scale distributed infrastructureExperience 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 AirflowExperience with CI/CD and automation tools (Terraform, CloudFormation, Jenkins, Ansible, etc.)Experience with data processing, logging, and visualization tools
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.
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
ResponsibilitiesOperate our on-premise and cloud training and production infrastructureDevelop our container orchestration in Kubernetes and HelmDevelop Infrastructure as Code (Ansible, Terraform)Partner closely with research and applied science teams to put models into productionPromote quality and reliability through regular code reviewsStrong communication skillsRequirements
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 fieldExperience with C++ or PythonExperience with git, issue tracking, CI/CD, and modern software engineering practicesExperience with Grafana and PrometheusBonus (Not Required)
Experience architecting large-scale distributed infrastructureExperience 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 AirflowExperience with CI/CD and automation tools (Terraform, CloudFormation, Jenkins, Ansible, etc.)Experience with data processing, logging, and visualization tools
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.