Senior Battery Data Engineer - Onsite AI-Driven Analytics

Redwood Materials Inc.

San Francisco (CA)

Hybrid

USD 173.000 - 198.000

Vollzeit

vor 17 Stunden
Sei unter den ersten Bewerbenden
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Zusammenfassung

Redwood Materials in San Francisco is seeking a Senior Battery Data Engineer to build and evolve the software stack powering battery characterization. You will connect test data to modeling and analysis, spanning data pipelines, hardware control services, and workflows that support deterministic tool layers.

The role sits on-site at 100 Hooper and involves partnering with experts to automate workflows, implement digital twins, and accelerate evaluation of battery performance and safety.

Qualifikationen

  • BS or MS in Engineering (Mechanical, Chemical, Materials, Electrical) or related field.
  • Strong Python software development experience with production services, data pipelines and APIs.
  • Familiarity with battery testing platforms (Arbin, Maccor, Neware).
  • Experience with cloud data infrastructure (AWS, GCP, or Azure) for large-scale time-series data storage and processing.

Aufgaben

  • Own the data infrastructure for large-scale battery time-series data from cyclers to cloud storage.
  • Develop and maintain software services that orchestrate testing using lab cyclers and field-level power converters.
  • Build tool layer for battery testing, protocols, APIs, anomaly detection, and digital twin simulations.
  • Collaborate with battery test and algorithm engineers to automate workflows and improve efficiency.
  • Define agent eval suites and correctness criteria for evolving automation.

Kenntnisse

Python
Data pipelines
APIs
Cloud data infra
Collaboration

Ausbildung

BS or MS in Engineering

Tools

Arbin
Maccor
Neware

Jobbeschreibung

Redwood Materials in San Francisco is seeking a Senior Battery Data Engineer to build and evolve the software stack powering battery characterization. You will connect test data to modeling and analysis, spanning data pipelines, hardware control services, and workflows that support deterministic tool layers.

The role sits on-site at 100 Hooper and involves partnering with experts to automate workflows, implement digital twins, and accelerate evaluation of battery performance and safety.

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