Covariant
Senior Software Engineer, AI Infrastructure
Covariant, Emeryville, California, United States, 94608
The Company
Our mission is to build the Covariant Brain, a universal AI to give robots the ability to see, reason and act on the world around them. Bringing AI from research in the lab to the infinite variability and constant change of our customer’s real-world operations requires new ideas, approaches and techniques.Success in the real world requires a team that represents that world: diversity of backgrounds, points of view, and experiences. Our common denominator: ambitious expectations, love of learning, empathy for those around us, and a team-first mindset.THE ROLE
The AI Infrastructure team makes Covariant’s robot data accessible and easy to leverage to develop, debug, and deploy AI-based software. Our vision is to automate and refine every step of the AI lifecycle, from collecting, indexing, and annotating data to training and deploying new models and monitoring performance across our robot fleet. To this end we are designing a data platform that processes terabytes of robot telemetry data every day making it searchable and usable by the rest of the company. We build the core libraries, services, and tools that form the foundation of AI software development at Covariant and we are hiring senior engineers to help us achieve our vision.AREAS OF FOCUS
Building services and APIs to search and annotate our rapidly growing robot datasetDesigning libraries to help us train, deploy, monitor, and understand our modelsFull stack development of tools that leverage our libraries and services to visualize and explore Covariant’s robot dataYOU WILL
Work closely with the research and solutions teams to spec, develop, and ship features for our robot data platformLead and manage full-stack projects with cross-functional stakeholdersBuild tools to search and visualize robot telemetry data and facilitate fast performance iterationImplement scalable data pipelines to ingest and process robot telemetry dataDevelop and deploy distributed systems that span customer warehouses to the public and private cloudAdvocate for and facilitate quality software design principles including system observability and debuggabilityYOU HAVE
4+ years of programming experience in modern programming languages such as Python4+ years of experience working on full stack, backend web development, or cloud infrastructureDesigned, built, and deployed modern web APIsDesigned and deployed solutions using public cloud providers like AWSExperience with containerization technologies like Docker and container orchestration platforms like Kubernetes and Amazon ECSStrong communication skills; able to efficiently communicate technical details to a varied audienceExperience with building model training infrastructure, libraries, and toolsThe ability to work independently on open-ended cross-functional projectsNICE TO HAVES
Experience architecting data infrastructure for machine learning systemsExperience with Django and/or PostgresSAMPLE WEEK IN THE LIFE
Develop a scalable data pipeline leveraging services like Amazon SQS or KinesisDesign a new database model and corresponding API endpoints and viewsDeploy a service to Kubernetes and monitor its performanceTriage and debug a performance issue in PostgresAdd a feature to a computational graph libraryMeet with the research team to gather requirements and understand how we should support a new research project, such as training and deploying a new modelPrepare a technical deep-dive presentation on a project you recently completedIndependently run a meeting for your latest project to keep stakeholders on other teams up-to-date
#J-18808-Ljbffr
Our mission is to build the Covariant Brain, a universal AI to give robots the ability to see, reason and act on the world around them. Bringing AI from research in the lab to the infinite variability and constant change of our customer’s real-world operations requires new ideas, approaches and techniques.Success in the real world requires a team that represents that world: diversity of backgrounds, points of view, and experiences. Our common denominator: ambitious expectations, love of learning, empathy for those around us, and a team-first mindset.THE ROLE
The AI Infrastructure team makes Covariant’s robot data accessible and easy to leverage to develop, debug, and deploy AI-based software. Our vision is to automate and refine every step of the AI lifecycle, from collecting, indexing, and annotating data to training and deploying new models and monitoring performance across our robot fleet. To this end we are designing a data platform that processes terabytes of robot telemetry data every day making it searchable and usable by the rest of the company. We build the core libraries, services, and tools that form the foundation of AI software development at Covariant and we are hiring senior engineers to help us achieve our vision.AREAS OF FOCUS
Building services and APIs to search and annotate our rapidly growing robot datasetDesigning libraries to help us train, deploy, monitor, and understand our modelsFull stack development of tools that leverage our libraries and services to visualize and explore Covariant’s robot dataYOU WILL
Work closely with the research and solutions teams to spec, develop, and ship features for our robot data platformLead and manage full-stack projects with cross-functional stakeholdersBuild tools to search and visualize robot telemetry data and facilitate fast performance iterationImplement scalable data pipelines to ingest and process robot telemetry dataDevelop and deploy distributed systems that span customer warehouses to the public and private cloudAdvocate for and facilitate quality software design principles including system observability and debuggabilityYOU HAVE
4+ years of programming experience in modern programming languages such as Python4+ years of experience working on full stack, backend web development, or cloud infrastructureDesigned, built, and deployed modern web APIsDesigned and deployed solutions using public cloud providers like AWSExperience with containerization technologies like Docker and container orchestration platforms like Kubernetes and Amazon ECSStrong communication skills; able to efficiently communicate technical details to a varied audienceExperience with building model training infrastructure, libraries, and toolsThe ability to work independently on open-ended cross-functional projectsNICE TO HAVES
Experience architecting data infrastructure for machine learning systemsExperience with Django and/or PostgresSAMPLE WEEK IN THE LIFE
Develop a scalable data pipeline leveraging services like Amazon SQS or KinesisDesign a new database model and corresponding API endpoints and viewsDeploy a service to Kubernetes and monitor its performanceTriage and debug a performance issue in PostgresAdd a feature to a computational graph libraryMeet with the research team to gather requirements and understand how we should support a new research project, such as training and deploying a new modelPrepare a technical deep-dive presentation on a project you recently completedIndependently run a meeting for your latest project to keep stakeholders on other teams up-to-date
#J-18808-Ljbffr