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Tacit

AI-driven digital twin for building operations

System Electrical Engineer

Hardware Validation & Testing +1Confirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • A Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field.
  • At least 3 years of experience in electrical engineering, hardware design, or hardware validation.
  • Strong fundamentals in analog and mixed-signal circuits, power conversion and regulation, signal integrity, power integrity, and grounding.
  • Hands-on debugging skills and a track record of root-causing hardware issues on real boards.
  • Hands-on experience with board bring-up and lab instruments such as oscilloscopes, logic analyzers, power supplies, electronic loads, and probes.
  • Experience with schematic capture and PCB design for multilayer boards, using Altium Designer or an equivalent tool.
  • Working knowledge of high-speed interfaces such as USB, Quad-SPI, MIPI, or DDR, and low-speed buses such as I2C, SPI, and UART.
  • Experience with power and battery systems, including DC-DC converters, LDOs, PMICs, and lithium-ion or lithium-polymer charging.
  • Ability to write clear validation plans and reports.
  • Comfort working in a fast-moving startup where engineers own large parts of the hardware.

Responsibilities

  • Bring up prototype boards and get them to a stable, measurable state.
  • Write and run validation plans for architectural blocks, including power rails, battery charging and power management, high-speed interfaces, sensor front ends, and mixed-signal paths.
  • Characterize blocks across voltage, load, temperature, and operating modes, and compare results against design intent.
  • Run systematic debugging across analog, digital, and power domains using oscilloscopes, logic and protocol analyzers, spectrum analyzers, power supplies, electronic loads, and current probes.
  • Root-cause issues such as rail noise and ripple, signal-integrity problems, noise coupling into sensitive analog paths, unexpected resets, and excess power draw.
  • Separate real failures from measurement artifacts and support conclusions with data.
  • Turn validation findings into schematic and layout changes for the next prototype cycle.
  • Own schematic and PCB updates for validated blocks, working with the senior hardware team on architecture and component choices.
  • Reduce power consumption, quiescent current, board area, and component count without sacrificing performance.
  • Build repeatable bench test setups and automate measurements where useful.
  • Use statistics across units and builds to set limits, identify outliers, and track yield.
  • Run reliability and stress testing, and feed failure findings back into the design.
  • Help turn bench tests into production tests and support builds with contract manufacturers as production ramps.
  • Work with mechanical, firmware, and software engineers on bring-up, debugging, and design trade-offs.
  • Write validation reports and debugging summaries that drive design decisions.

Desired Qualifications

  • Python or similar scripting for lab automation and instrument control, including PyVISA or SCPI.
  • Embedded firmware experience in C or C++, sufficient to add test hooks and diagnostics.
  • Background in signal-integrity and power-integrity simulation using tools such as HyperLynx, Ansys SIwave, or Cadence Sigrity.
  • Familiarity with RF circuits and components.
  • Experience with wearable, body-worn, or battery-powered devices with tight power, size, and thermal limits.
  • Experience with low-noise analog front ends, biopotential sensing, or other sensitive sensor interfaces.
  • Statistical analysis of test data across units and builds, including yield, limits, and outlier detection.
  • Production-test exposure, including test fixtures, boundary scan/JTAG, ICT, or calibration flows, and experience supporting EVT, DVT, or PVT builds with contract manufacturers.
  • Familiarity with EMI/EMC pre-compliance testing and reliability or environmental testing.

About the Company

Tacit

AI-driven digital twin for building operations

Tacit develops an AI-powered digital twin platform for real estate buildings that automates and optimizes operations by connecting to HVAC, BMS, meters and IoT sensors to form a unified view. Its Agentic AI uses context-aware agents to diagnose, troubleshoot, and autonomously adjust systems to reduce manual intervention. It provides root-cause analysis, predictive maintenance, and energy optimization based on real-time data like occupancy and weather, aiming to lower OpEx and energy waste. Audit trails log automated actions and reasoning to ensure compliance, with the goal of freeing facilities teams for more strategic work.

Company size
1-10
Company stage
Seed
Total funding
$330K
Headquarters
London, United Kingdom
Founded
1997

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