Senior Manager, Software Test & ValidationPosted today$220K

The opportunity

Redwood Materials was founded in 2017 by JB Straubel, co-founder and former CTO of Tesla, on a simple but radical idea: the critical minerals powering the energy transition already exist. They just need to come back.

What you'll do

  • Power Electronics & Site-Level Simulation: Direct the architecture and scaling of our Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) infrastructure (Typhoon HIL, Opal-RT) across both sub-microsecond power conversion stages and multi-asset, site-level controllers.

  • Custom HIL Hardware & Plant Modeling: Oversee the design of custom signal-conditioning interface hardware, fault-injection panels, and high-fidelity virtual plant models (battery arrays, resonant DC/DC and multi-level AC/DC converters, and dynamic grid conditions) to stress-test embedded firmware and site software before field deployment.

  • Continuous Verification & CI/CD: Integrate automated SIL and HIL regression suites into containerized CI/CD pipelines (GitHub Actions/Jenkins, Docker), serving as the definitive release gate for all production-bound embedded Rust, C/C++, and site-level software.

  • Production Line Software: Lead the development of automated manufacturing test software and end-of-line (EOL) functional test frameworks for multiple Redwood hardware product lines, including our custom Power Conversion Systems (PCS) and energy storage enclosures.

  • Factory-to-Engineering Integration: Build reliable firmware flashing, hardware calibration, serialization, and automated pass/fail diagnostics systems that scale from low-volume prototype builds (EVT/DVT) to high-volume factory production.

  • Commissioning Tooling: Architect and deliver intuitive, automated field commissioning tools that streamline site bring-up, verify hardware-software wiring and communications (CAN, Modbus TCP, Ethernet, SPI), and execute automated site acceptance testing (SAT) for new energy storage deployments.

What they're looking for

  • Preventive & Predictive Maintenance Analytics: Lead the architecture of fleet-wide data analytics frameworks and time-series observability pipelines (e.g., InfluxDB, Prometheus, Grafana, Python) that ingest continuous telemetry from deployed field assets to drive preventive and predictive maintenance.
  • Prognostics & Early Fault Detection: Develop automated health-monitoring models and anomaly detection algorithms that track thermal drift, component degradation, switching efficiency shifts, and battery state-of-health (SoH) trends—flagging incipient hardware or control issues for proactive servicing before they cause unplanned downtime.
  • Team Growth & Technical Mentorship: Recruit, mentor, and lead a multidisciplinary team of validation, test automation, manufacturing software, and data/reliability engineers; foster an engineering culture obsessed with breaking complex state machines and catching failure modes early.
  • Cross-Functional Execution: Partner closely with Power Electronics Controls, Embedded Firmware, Hardware Engineering, Manufacturing Operations, and Field Service teams to close the loop between factory test signatures, HIL models, and real-world predictive maintenance actions.