Data Infrastructure Engineer
Pivot RoboticsIndustrial Robotics company
San Francisco, United StatesMid
Y Combinator
NuVentures
FAST — by GETTYLAB
Pioneer Fund
Four Cities Capital
Phillip Pierini
Data & AINew
About the role
TL;DR
Design and build data infrastructure and ML pipelines on AWS.
- •Pivot Robotics is seeking a Data Infrastructure Engineer to design and build the data systems that power their robotic solutions.
- •This role involves working across the stack to create robust data pipelines and ML infrastructure.
- •Key Responsibilities Design and own schemas and data models for production systems.
- •Build and maintain data infrastructure on AWS.
- •Develop artifact stores for scans, meshes, and model checkpoints.
- •Construct edge-to-cloud pipelines for robotic data.
- •Build ML infrastructure for training, versioning, and deployment.
- •Requirements 2+ years building data infrastructure on AWS.
- •Strong schema design and data modeling skills.
- •Experience with ML infrastructure.
- •Ability to work across the full stack.
- •Willingness to travel to customer sites.
Required skills
AWSSQLPythonBashDockerKubernetesMLflowSageMakerPostgreSQLMySQLRedisElasticsearchDynamoDB
Domain expertise
aerospaceautomotiveai
Tech stack
AWSPythonSQLBashDockerKubernetesMLflowSageMakerPostgreSQLMySQLRedisElasticsearchDynamoDB
