Antora Energy

Antora Energy

Senior System Test Technician (Heat-to-Power)

Sunnyvale, CA · Senior

Sponsorship not specifiedDetected 1 day ago
PythonData AnalysisPower ElectronicsResearchCommunication

About the role

  • The primary function of this role is test technician: hands-on setup, maintenance, and instrumentation of electrical discharge prototypes that generate the data driving Heat-to-Power development.
  • A secondary function is test operator, running and monitoring campaigns (including unattended and overnight runs within defined limits), with an engineer on call for decisions outside those limits.
  • After training, independently set up, operate, monitor, shut down, and disassemble high-temperature test campaigns, including unattended and overnight operation within defined limits.

Responsibilities

  • Antora builds and deploys thermal energy storage to power always-on industrial operations and data centers with low-cost energy.
  • Factory-built in California, Antora's thermal batteries deliver reliable and cost-effective heat and power for industrial loads of any size.
  • Operate and maintain Heat-to-Power's high-temperature test platforms at Antora's R&D facility.
  • Maintain and prepare the test rigs: mechanical assembly and disassembly, instrumentation (thermocouples, RTDs, pyrometers), gas and cooling systems, and DAQ and controls hardware.
  • Collect, validate, and deliver post-test datasets used in design iteration, performance evaluation, and reliability analysis.
  • Support implementation of hardware, instrumentation, or procedural improvements that increases test reliability, repeatability, or usability.
  • We believe that having a diversity of backgrounds and experiences strengthens all of us, and we strive to create an environment where every one of us is empowered to create meaningful change.

Requirements

  • 5+ years of hands-on experience operating and maintaining experimental or production hardware, test rigs, or complex equipment (research, industrial, military, or similar).
  • Associate's or Bachelor's degree in an engineering or technical field, or equivalent hands-on experience.
  • Proven ability to troubleshoot mechanical, thermal, electrical, or instrumentation issues independently.

Nice to have

  • Experience with high-temperature systems, thermal testing, furnaces, heaters, or vacuum environments.
  • Familiarity with data acquisition systems (Python-based DAQ, PLCs, or similar) and controls or automation scripting.
  • Experience with instrumentation such as thermocouples, pyrometers, RTDs, pressure sensors, current/voltage measurement, or optical diagnostics.
  • Prior work with photovoltaics, power electronics, energy conversion, or other experimental energy systems.
  • Experience producing clean, reusable test procedures and lab documentation.
  • Sala ry Basis: Hourly
  • When it comes to stopping climate change, we need everyone.

Skills

  • Strong hands-on skills with fixtures, sensors, and test equipment; demonstrated attention to data quality, repeatability, and rigor.

Compensation

  • Sala ry Basis: Hourly
  • Please note that the salary range listed above reflects Antora Energy's estimated pay for this position.
  • The actual salary offered will be within the posted range and determined based on several factors including but not limited to a candidate's experiences, credentials and expertise, as they pertain to the position's requirements.

Company info

  • Antora is electrifying global industry while supporting U.S. manufacturing jobs, lowering costs for energy consumers, and enhancing the competitiveness of American industry.
  • We are growing our company with people who put team and mission first, value connection through laughter and joy, and build with humility and openness.
  • We are committed to continue building a diverse, passionate, and creative team dedicated to a future where every industrial facility, everywhere on earth, is powered by abundant, clean, low-cost energy.

This listing is sourced directly from Antora Energy's careers page and normalized into a canonical job model.