Senior Data Infrastructure & Operations Engineer

Walden Robotics; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Annual bonus

Company equity

401(k) with company match

Job summary

Walden Robotics is building a data foundation to power multimodal robot models, handling sensor logs, image, video, and text data at scale. As a senior IC, you’ll own architecture and reliability of ingestion, storage, transformation, and data operations that ensure data quality across the platform.

You will work closely with ML teams to translate needs into durable infrastructure, guiding architecture decisions and driving scalable data solutions across the stack.

Qualifications

• Data / Distributed Systems: strong background with production systems at real scale.
• Data Infrastructure Development: cloud-based data infrastructure for automated pipelines.
• Platform Ownership: reliability and cost ownership of a data platform.
• ML Adjacency: operate close to ML teams and translate needs into durable infra.
• Technical Judgment: lead work streams and make high-leverage architectural decisions.

Responsibilities

• Data Pipelines: design and scale high-throughput pipelines for petabyte-scale multimodal data.
• Platform Ownership: keep the ML data platform reliable, fast, and cost-efficient.
• Quality & Compliance: implement platform-level data quality, lineage, and compliance controls.
• Discoverability: build tooling to help ML teams find, understand, and trust their data.

Skills

Data / Distributed Systems

Data Infrastructure Development

Platform Ownership

ML Adjacency

Technical Judgment

Job description

Walden Robotics is building a data foundation to power multimodal robot models, handling sensor logs, image, video, and text data at scale. As a senior IC, you’ll own architecture and reliability of ingestion, storage, transformation, and data operations that ensure data quality across the platform.

You will work closely with ML teams to translate needs into durable infrastructure, guiding architecture decisions and driving scalable data solutions across the stack.