Jobs · Quality Assurance · Illinois

Staff Battery Test and Validation Engineer

Rivian · Normal, IL · 3 days ago
On-siteQuality AssuranceFull-time

About the role

The Staff Battery Test Engineer will lead the technical vision for high-voltage battery validation, collaborating across engineering disciplines to ensure robust and scalable testing methods.

Responsibilities

  • Strategic Leadership: Provide technical direction to lab personnel and external partners on battery system behaviors, methodologies, and infrastructure.
  • Methodology Innovation: Develop novel test methodologies and "First Principles" assessments for battery systems.
  • Infrastructure Strategy: Source and specify large-scale test equipment to maintain the lab's technological edge.
  • Advanced Data Analytics: Create automated data pipelines and analytical frameworks to derive insights from test data.
  • Systemic Problem Solving: Lead root cause analysis for complex failure modes and influence design changes at various battery levels.
  • Risk Mitigation & Governance: Lead and approve high-stakes technical assessments, and integrate "Read Across" activities into the global design cycle.
  • Technical Memory & Standards: Design and oversee the organization's Technical Memory, including templates, lessons-learned databases, and toolboxes.
  • Cross-Functional Influence: Represent the Battery Test organization in key stakeholder reviews and executive-level design meetings.

Qualifications

  • 10+ years of experience in battery testing, power electronics, or EV powertrain validation.
  • BS/MS/PhD in Electrical, Mechanical, or Chemical Engineering.
  • Proven track record of leading complex projects across multiple engineering disciplines.
  • Experience with automotive test tools like Vector CANalyzer, CANoe, CANape, Tracetronic ECU-Test, Vehicle SPI.
  • Experience with battery cycling and automation test equipment (NHR, TLU, Lynx).
  • Ability to communicate complex technical failures to non-technical leaders.
  • Expertise in consolidating and interpreting large datasets.

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