Founding Engineer – Edge AIoT Hardware
About the RoleMagnefy is redefining predictive maintenance for critical power infrastructure—transformers, switchgear, and generators—using AI-powered, high-frequency magnetic sensing. We’re looking for an innovative and mission-driven Founding Hardware Engineer to lead the development and integration of our edge AIoT sensing platform. You’ll work hands-on across firmware and hardware—from prototyping and board bring-up to system architecture and field deployment—translating real customer needs into scalable solutions.This is a rare opportunity to shape a transformative climate tech product from the ground up and grow into a key technical leader at a fast-moving, VC-backed Stanford spinout. What You Will DoProduct Development: Lead end-to-end firmware development for Magnefy’s edge AIoT device for predictive monitoring of power assets. • Spec Definition & Design: Translate customer needs into firmware architecture and component specs. Collaborate with internal teams and external experts. • Prototyping: Build and iterate firmware prototypes with engineering teams.Manage third-party partners with clear specs and oversight. • Testing & Validation: Lead testing and debugging. Set up bolthires pipelines for rapid, reliable iteration. • Deployment, Troubleshooting & Data Analytics: Deploy prototypes with pilot users, collect data, troubleshoot issues, and feed insights back into development. Technical Leadership & Roadmapping: Help shape our product roadmap, technical hiring, and operations strategy. Support supply chain and manufacturing strategy with business leads. Key Qualifications• Degree in Electrical, Computer, or Mechanical Engineering (BS, MS, or PhD)• 3+ years of experience in embedded systems and firmware development• Proven hands-on experience with hardware bring-up, debugging, and system integration• Experience integrating FPGAs with MCUs and low-power edge compute platforms• Proficient in edge communication protocols (e.g., MQTT, LoRa, Wi-Fi, cellular), and familiar with wireless compliance and cloud APIs• Solid understanding of power management, battery optimization, and sensor integration• Strong communicator and team player, comfortable working across hardware and software• Thrives in early-stage, fast-moving environments with ambiguity and rapid iteration• 10-20% travel to customer sites for prototype deployment, testing and data collectionNice to Have• Python or embedded scripting for automation and testing• Experience with ML/AI on edge devices• Knowledge of digital signal processing on FPGA/ASIC• Familiarity with cloud IoT platforms (AWS IoT, bolthires Cloud IoT, Azure)• Experience working in early-stage startups Apply tot his job