Job description

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website ( monks.com/careers ). The Role We are seeking a hands-on Battery Test Engineer with a proactive, get‑it‑done attitude to join a team qualifying next‑generation BMS algorithms and architectures. In this role, you will be instrumental in validating pack-level battery systems and constructing automated Python data pipelines to turn algorithm designs into production-ready consumer products. Location : Cupertino, California, USA Work Type : Contract Work Schedule : On-site What You’ll Do Execute Pack-Level Test Plans — Run complex electrical, thermal, and battery cycler test plans specifically at the pack level, delivering high-quality dataset outputs on schedule. Build Data Automation & Ingestion Pipelines — Develop and maintain Python scripts to automate data ingestion, process raw cycler logs, and streamline continuous test data analysis. Analyze & Investigate — Process high-volume test data to support algorithm engineers in evaluating pack behavior and investigating electrical or thermal anomalies. Troubleshoot & Maintain — Diagnose equipment, BMS firmware interactions, and pack-level sample failures; repair and calibrate test hardware as needed. Automate Validation Workflows — Co-develop automated testing frameworks and hardware-in-the-loop (HIL) setups alongside test engineering peers. What You Bring (Must-Haves) Pack-Level Battery Testing — Extensive hands-on experience running test profiles, qualification protocols, and diagnostic routines on multi-cell lithium-ion battery packs using high-channel battery cyclers (e.g., Arbin, Maccor, Chroma). Python Data Automation & Ingestion — Strong Python programming skills dedicated to test automation, raw data ingestion, ETL/pipeline creation, and processing large time-series datasets. Hardware & Circuit Debugging — Practical experience working directly with electrical circuits, source meters, oscilloscopes, multimeters, and physical pack assembly hardware. System Troubleshooting — Proven track record of diagnosing complex electrical, firmware, and system-level issues during validation. Education — M.Sc. in Electrical Engineering, Computer Science, or related field; or B.Sc. with substantial relevant industrial experience. What We’d Love to See (Nice-to-Haves) BMS & Protocol Expertise — Experience validating BMS algorithms and firmware, along with familiarity in hardware communication protocols (CAN, I2C, SMBus, SPI). Battery Chemistry Knowledge — Understanding of lithium-ion cell characterization, aging degradation modes, and thermal dynamics. Data Visualization — Experience building custom data dashboards or automated reporting tools in Python (e.g., Pandas, NumPy, Plotty/Matplotlib). Cross-Functional Communication — Ability to articulate complex data trends and hardware failures clearly to algorithm, firmware, and system engineering teams. #LI-MF1 #LI-Onsite What We Offer Benefits Excellent, full coverage medical, dental, and vision insurance Generous PTO and 15 company-wide holidays 401k with company contribution Paid parental leave Work-life balance with an emphasis on personal well-being Career growth in a disruptor space & entrepreneurial opportunities within the Monks network A globally diverse & inclusive culture with employee resource groups such as S4 Melanin, Pride.Monks, Cultura.Monks, and more! Authentic commitment to DEI efforts and sustainable growth. (Why Sir Martin Sorrell signed The Climate Pledge here !) This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time. Monks has provided a compensation range that represents its good faith estimate of what Monks may pay for the position at the time of posting. Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status. Salary Range: $130,000 — $160,000 USD About Monks Monks is the global, digital-first, data-driven, unitary operating brand of S4Capital plc, where our culture centers on how we show up for the work and for one another. That begins with the commitment to strive for mastery—taking deep pride in our craft and creating work that sets the bar. In everyday execution, we drive momentum by choosing bold action rather than waiting for certainty. Above all, our teams are stronger together, bringing diverse perspectives into a unified team that communicates with clarity, trust, and mutual respect. This commitment to craft and innovation translates directly into widespread industry acclaim: Monks was named a Contender in The Forrester Wave™: Global Marketing Services and a leader in the 2026 Gartner® Magic Quadrant™ for Global Digital Marketing Agencies. It ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization (2025), Monks was also awarded Business Intelligence Group’s 2026 Excellence in Artificial Intelligence Award in the Human-Machine Interaction Team category. Additionally, Monks.Flow earned AI-based Marketing Solution of the Year at the 2026 AI Breakthrough Awards and a 2026 Global Generative AI Award in the Agentic Marketing Innovation category. Finally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner. We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.

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Must-haves

Location : Cupertino, California, USA Work Type : Contract Work Schedule : On-site
What You’ll Do
Execute Pack-Level Test Plans — Run complex electrical, thermal, and battery cycler test plans specifically at the pack level, delivering high-quality dataset outputs on schedule.
Build Data Automation & Ingestion Pipelines — Develop and maintain Python scripts to automate data ingestion, process raw cycler logs, and streamline continuous test data analysis.
Analyze & Investigate — Process high-volume test data to support algorithm engineers in evaluating pack behavior and investigating electrical or thermal anomalies.
Troubleshoot & Maintain — Diagnose equipment, BMS firmware interactions, and pack-level sample failures; repair and calibrate test hardware as needed.
Automate Validation Workflows — Co-develop automated testing frameworks and hardware-in-the-loop (HIL) setups alongside test engineering peers.
What You Bring (Must-Haves)
Python Data Automation & Ingestion — Strong Python programming skills dedicated to test automation, raw data ingestion, ETL/pipeline creation, and processing large time-series datasets.
Hardware & Circuit Debugging — Practical experience working directly with electrical circuits, source meters, oscilloscopes, multimeters, and physical pack assembly hardware.
System Troubleshooting — Proven track record of diagnosing complex electrical, firmware, and system-level issues during validation.
Education — M.Sc. in Electrical Engineering, Computer Science, or related field; or B.Sc. with substantial relevant industrial experience.
BMS & Protocol Expertise — Experience validating BMS algorithms and firmware, along with familiarity in hardware communication protocols (CAN, I2C, SMBus, SPI).
Battery Chemistry Knowledge — Understanding of lithium-ion cell characterization, aging degradation modes, and thermal dynamics.
Data Visualization — Experience building custom data dashboards or automated reporting tools in Python (e.g., Pandas, NumPy, Plotty/Matplotlib).
Cross-Functional Communication — Ability to articulate complex data trends and hardware failures clearly to algorithm, firmware, and system engineering teams.
#LI-MF1 #LI-Onsite What We Offer

Nice-to-haves

What We’d Love to See (Nice-to-Haves)

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pythonai

Platform: greenhouse
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Benefits

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Dental

Vision

401k

Pto

Parental Leave