Senior Manager, Software Test & Validation

About Redwood Materials 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. Today Redwood is the largest lithium-ion battery recycler in North America — recovering, refining, and redeploying critical minerals from end-of-life batteries back into the supply chain. On the energy side, Redwood has deployed the largest second-life battery project in the world, delivering power to AI data centers in months rather than years using proprietary energy architecture engineered entirely in-house. The company is profitable, the market it operates in is projected to grow 20 to 50 times over the next decade, and Redwood is the only company with the supply chain, the technology, and the operational scale to lead it. Position Summary: At Redwood Materials, we are moving beyond battery recycling to build the most advanced, circular energy ecosystem on the planet—shifting the industry from static, hardware-heavy infrastructure toward agile, software-defined energy assets. The Software Test and Validation organization is the ultimate gatekeeper of quality, reliability, and operational readiness across our entire hardware and software portfolio. As the Senior Manager for Software Test & Validation, you will build and lead the engineering teams responsible for four mission-critical pillars: Power Electronics and Site-Level SIL/HIL Simulation, Manufacturing Test Software, Site Commissioning Tooling, and Fleet Data Analytics for Preventive & Predictive Maintenance. You are the bridge between pure code, factory production, and long-term grid reliability. We are looking for a hands-on technical leader who can architect high-fidelity real-time simulation plants, scalable factory test frameworks, and predictive fleet health models alongside their engineers—driving quality across multiple concurrent hardware programs from R&D bring-up through volume manufacturing and multi-year field operations. This position is based in our San Francisco office and operates on an onsite work model. Essential Duties and Responsibilities Multi-Level SIL & HIL Validation Architecture 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. Manufacturing Software & Factory Test 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. Site Commissioning & Predictive Fleet Analytics 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. 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 & Ea