Member of Technical Staff - Senior Engineer, Data Infrastructure & Data Operations

Walden Robotics

$255K — $340K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong background with production data and distributed systems at scale.
  • Extensive experience in developing cloud-based data infrastructure for automated pipelines.
  • Experience in maintaining the reliability and cost-efficiency of a data platform.
  • Comfortable collaborating closely with ML teams to meet their infrastructure needs.
  • Ability to lead teams and make significant architectural decisions.

Responsibilities

  • Design and scale high-throughput data pipelines for petabyte-scale multimodal data.
  • Maintain platform reliability, speed, and cost-effectiveness for ML teams.
  • Implement quality controls for data quality, lineage, and compliance standards.
  • Develop tools for ML teams to discover, understand, and trust their data.

Benefits

  • Company-subsidized insurance programs.
  • 401(k) with company match.
  • Flexible PTO.
  • Daily lunch provided.
  • Annual cash bonus and company equity.
Full Job Description
Position Summary:

You'll build and scale the data foundation alongside the world-class team training our robot models-the systems that move our multimodal data (robot sensor and action logs, plus web-scale image, video, and text) into the models they build. As a senior IC, you'll own the architecture and reliability at the core of that platform-ingestion, storage, transformation, and the data operations that keep quality high at scale-working hand in hand with the teams who produce and depend on that data.

Core Responsibilities:

  • Data Pipelines: Design and scale high-throughput pipelines for petabyte-scale multimodal data.
  • Platform Ownership: Keep the platform the ML teams build on reliable, fast, and cost-efficient.
  • Quality & Compliance: Implement the platform-level controls for data quality, lineage, and compliance, built to enforce the quality standards the annotation and ML teams define.
  • Discoverability: Build tooling that lets ML teams find, understand, and trust their data.

Required Qualifications:

  • Data / Distributed Systems: Strong background with production systems at real scale.
  • Data Infrastructure Development: Extensive experience developing cloud-based data infrastructure for automated data pipelines.
  • Platform Ownership: Experience owning a data platform's reliability and cost over time.
  • ML Adjacency: Comfort operating close to ML teams and translating their needs into durable infrastructure.
  • Technical Judgment: The ability to lead a workstream and make high-leverage architectural decisions.

Preferred Qualifications:

  • Multimodal or robotics/sensor data experience.
  • Familiarity with compliance and KPI-tracking requirements in customer-facing deployments.
  • Experience with data-lineage, catalog, or governance systems.


Walden Robotics offers a competitive total compensation program, including salary, annual cash bonus, company equity, company-subsidized insurance programs, 401(k) with company match, flexible PTO, daily lunch, and other benefits. The pay ranges noted on our posts is for salary only.

The pay range for this role is:

255,000 - 340,000 USD per year (BOS)

255,000 - 340,000 USD per year (SF)

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