Data Infrastructure Engineer

Pivot Robotics; San Francisco (CA); Presencial; USD 140 000 - 190 000; Tempo integral

Resumo da oferta

Pivot Robotics in San Francisco is seeking a data infrastructure engineer to design and own the schemas behind our production systems, and to build scalable AWS-based data platforms. You will build the artifact store for scans, meshes, model checkpoints, and calibration files, and you will create edge-to-cloud pipelines between robotic cells and our infrastructure.

Experience with 2+ years building data infrastructure on AWS, strong data modeling, ML infra, and a willingness to travel to

Qualificações

• 2+ years building data infrastructure on AWS (application-side, not platform operations).
• Strong schema design and data modeling, including distributed systems tradeoffs.
• ML infrastructure experience.
• Ability to work across the stack, from analyzing data to designing the systems around it.
• Willingness to travel to customer sites.

Responsabilidades

• Design and own the schemas and data models behind our production systems.
• Build and maintain data infrastructure on AWS.
• Build the artifact store for scans, meshes, model checkpoints, and calibration files.
• Build edge-to-cloud pipelines between robotic cells and our infrastructure.
• Build ML infrastructure: training pipelines, dataset versioning, and model deployment.

Conhecimentos

AWS data infra

Schema design

ML infrastructure

Full-stack data analysis

Willing to travel

Descrição da oferta de emprego

Responsibilities

• Design and own the schemas and data models behind our production systems

• Build and maintain data infrastructure on AWS

• Build the artifact store for scans, meshes, model checkpoints, and calibration files

• Build edge-to-cloud pipelines between robotic cells and our infrastructure

• Build ML infrastructure: training pipelines, dataset versioning, and model deployment

Requirements

• 2+ years building data infrastructure on AWS (application-side, not platform operations)

• Strong schema design and data modeling, including distributed systems tradeoffs

• ML infrastructure experience

• Ability to work across the stack, from analyzing data to designing the systems around it

• Willingness to travel to customer sites

Preferred

• Data infrastructure in a robotics, autonomy, or industrial IoT setting

• Edge computing experience

• Interest in manufacturing