Senior Manager, Software Test & Validation

Redwood Materials•San Francisco, CA
•$220,000 - $290,000•Onsite

About The Position

Redwood Materials is seeking a Senior Manager for Software Test & Validation to build and lead engineering teams responsible for power electronics and site-level SIL/HIL simulation, manufacturing test software, site commissioning tooling, and fleet data analytics for preventive and predictive maintenance. The role spans software, factory production, and grid reliability, and involves hands-on technical leadership in designing real-time simulation systems, factory test frameworks, and predictive fleet-health models across multiple hardware programs, from R&D bring-up through volume manufacturing and field operations. The position is based in Redwood Materials’ San Francisco office and follows an onsite work model. The role leads multidisciplinary engineers and collaborates with Power Electronics Controls, Embedded Firmware, Hardware Engineering, Manufacturing Operations, and Field Service teams to improve quality, operational readiness, and reliability across deployed energy systems.

Requirements

  • MS or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or a BS with equivalent depth.
  • 10+ years of industry experience in software validation, HIL simulation, manufacturing test, and fleet reliability analytics for complex hardware systems.
  • 5+ years leading technical engineering teams.
  • Proven experience architecting real-time simulation environments such as Typhoon HIL, Opal-RT, or dSPACE for power electronics converters and distributed system or site controllers.
  • Experience building and deploying automated factory test software (ICT/FCT/EOL), hardware bring-up utilities, and field commissioning frameworks across multiple hardware product lifecycles.
  • Expert-level Python proficiency, including test automation and time-series or predictive modeling tools such as Pytest, Pandas, and SciPy.
  • Working fluency in Rust and C/C++ to inspect, instrument, and debug low-level firmware and application code.
  • Experience designing automated CI/CD pipelines for HIL targets, using Docker, and developing scalable time-series telemetry architectures for fleet health monitoring.
  • Comfort working in high-voltage power electronics lab environments and using oscilloscopes, logic analyzers, and power analyzers.
  • Experience with industrial communication protocols including CAN/CAN-FD, Ethernet, Modbus, and SPI.

Nice To Haves

  • Experience validating grid-scale BESS, utility-interactive inverters, or mixed-chemistry/second-life EV battery installations against UL 1741, UL 1973, and IEEE 1547 standards.
  • Experience building prognostic algorithms that correlate factory end-of-line baseline signatures with field telemetry to predict remaining useful life of power electronics or energy storage components.
  • Experience designing custom automated fault-injection hardware and breakout PCB interfaces for multi-rack HIL testbeds.

Responsibilities

  • Direct the architecture and scaling of SIL and HIL infrastructure for power-conversion stages and multi-asset, site-level controllers.
  • Oversee custom signal-conditioning interface hardware, fault-injection panels, and high-fidelity virtual plant models for validating embedded firmware and site software.
  • Integrate automated SIL and HIL regression suites into containerized CI/CD pipelines as release gates for production-bound software.
  • Lead development of automated manufacturing test software and end-of-line functional test frameworks for power conversion systems and energy storage enclosures.
  • Develop firmware flashing, hardware calibration, serialization, and automated pass/fail diagnostics systems that support prototype and high-volume production.
  • Architect field commissioning tools that verify hardware-software wiring and communications and automate site acceptance testing.
  • Lead fleet-wide data analytics and time-series observability pipelines that use deployed-asset telemetry to support preventive and predictive maintenance.
  • Develop health-monitoring models and anomaly-detection algorithms to identify equipment degradation and control issues before they cause unplanned downtime.
  • Recruit, mentor, and lead validation, test automation, manufacturing software, and data/reliability engineers.
  • Partner with controls, firmware, hardware, manufacturing, and field-service teams to connect factory test results, HIL models, and predictive maintenance actions.
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