Robotics Data & Software Engineer (+ Equity) at early-stage robotics infrastructure startup

Jack & Jill

San Francisco (CA)

On-site

USD 140,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Equity

Job summary

Jack & Jill in San Francisco seeks a senior data engineer to lead the development of high-performance data pipelines. You will transform raw sensor streams into training-ready datasets and shape the data architecture for robotics applications.

You will work with cloud infrastructure on AWS, manage large multimodal datasets, and implement scalable ETL pipelines. The role emphasizes strong software engineering practice and collaboration with ML teams.

Qualifications

Proficient in Python and Linux
Experience managing large-scale multimodal datasets
Experience with cloud infrastructure (AWS)
Experience building ETL pipelines
Familiarity with S3 object storage and data workflows
Strong software engineering fundamentals
Experience designing data pipeline architectures

Responsibilities

Lead development of high-performance data pipelines to transform raw sensor streams into training-ready datasets.
Architect scalable infrastructure for multimodal robotics data, including video and force sensing, to support ML models.

Skills

Python

Linux

AWS

ETL Pipelines

S3 Storage

Multimodal Data Management

Software Engineering

Data Pipeline Architecture

Job description

Lead the development of high-performance data pipelines to transform raw sensor streams into training-ready datasets. Architect scalable infrastructure for multimodal robotics data, including video and force sensing, to support machine learning models.

Requirements

Requires strong software engineering fundamentals with deep proficiency in Python and Linux. Candidates must have extensive experience managing large-scale multimodal datasets and cloud infrastructure via AWS.

Key Skills