Data Platform Engineer

Department: Software

Location: New York City

Employment Type: FullTime

Job Description

We are looking for a Data Platform Engineer to build the foundational data systems that power our robotics and machine learning development. In this role, you will design and implement the infrastructure for collecting, storing, processing, and transforming the vast amounts of data generated by our robots—from sensor telemetry and video streams to operational logs and performance metrics.

You'll work closely with ML teams to ensure data is accessible, well-structured, and ready for training. Your work will enable research teams to iterate faster and operations teams to monitor fleet performance as we scale.

Key Responsibilities

• Design and build scalable data pipelines for ingesting and processing robotics data (sensor streams, video, telemetry, logs).

• Develop and maintain data storage solutions optimized for diverse data types and access patterns.

• Create tools and APIs for researchers and engineers to efficiently query and analyze large datasets.

• Build real-time data processing systems for monitoring robot fleet performance.

• Build and maintain data transformation pipelines that prepare robotics data for ML training.

• Collaborate with ML and robotics teams to ensure data platforms meet their evolving needs.

Required Skills & Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field, or equivalent practical experience.

• Work Experience: 3+ years of experience in data engineering or data platform roles.

• Technical Expertise:

  • Strong programming skills in Python and SQL.

  • Experience with data processing frameworks (e.g., Spark, Flink, Kafka).

  • Proficiency with data storage technologies (e.g., PostgreSQL, object storage).

  • Experience with cloud data platforms (AWS, GCP).

  • Understanding of distributed systems and data architecture principles.

Nice-to-have Skills

• Experience working with robotics or IoT data (time-series, video, point clouds).

• Knowledge of streaming architectures and real-time analytics.

• Familiarity with ML techniques and how data preparation impacts model training.

• Experience with data cataloging, metadata management, and data discovery tools.

What We Offer

• The opportunity to work on groundbreaking robotics technology, enabling the next generation of humanoid robots to interact dynamically with their environments.

• A collaborative and innovative environment that fosters creativity and exploration.

• Equity ownership in the company

• Health Benefits (Medical, Dental, and Vision)

Compensation

$130k - $210k/yr, plus equity