We are on a mission to transform how critical power infrastructure—such as transformers, generators, and switchgear—is monitored and maintained. The company is leveraging cutting-edge magnetic sensing and AI to develop smart, edge-based systems that deliver predictive insights for industrial assets.

BONUS POINTS FOR EXPERIENCE IN:

• ASIC design processes (RTL to GDSII, DFT, prototyping)
• Edge ML/DSP co-design for hardware acceleration
• Ultra-low-power design and sensor fusion
• Secure embedded systems and firmware update infrastructure
• IoT platforms such as AWS IoT, Azure IoT, or Google Cloud IoT
• Writing system-level code in C/C++ or Python
  Job Type: Full-time
  Pay: $75,000.00 - $100,000.00 per year
  Work Location: Hybrid remote in San Francisco, CA 9410

• Lead the development of embedded DSP systems on FPGA or ASIC platforms, focused on filtering, FFT, and spectral analysis
• Build and validate signal processing models in Python or MATLAB
• Optimize hardware for real-time performance, low latency, and power efficiency
• Integrate FPGA-based systems with sensors, microcontrollers, and communication modules (LoRa, Wi-Fi, MQTT, etc.)
• Collaborate with cross-functional teams to ensure seamless data flow from device to cloud
• Manage field testing, debugging, and deployment of systems at customer sites
• Contribute to product documentation, roadmap planning, and technical knowledge-sharing