Battery Test Engineer

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 Linked In, all applications must be submitted through our official website ().

We are looking for a software engineer to build internal tools that help our battery algorithm team work faster and smarter. You will develop applications for test data analysis, visualization, and documentation, incorporating AI powered capabilities where they accelerate engineering workflows. This is a software engineering role: you will write clean, maintainable code, build intuitive interfaces, and integrate modern AI services into practical tools that engineers actually use.

• Build Python based applications for analyzing and visualizing large scale battery test data, including time series datasets.
• Develop web based GUIs that let engineers explore, filter, and interact with test results.
• Integrate LLM APIs (e.g., OpenAI, Anthropic) into workflows to automate documentation, extract context from requirement sheets, change reports, and code repositories.
• Create data pipelines that pull from multimodal sources and present actionable insights.
• Collaborate with algorithm engineers and test engineers to understand their pain points and build tools that solve real problems.
• Continuously improve tooling based on user feedback and evolving team needs.

• B.Sc. or M.Sc. in Computer Science, Electrical Engineering, Mechanical Engineering, or related field.
• 3+ years of professional software development in Python, including data analysis and visualization libraries (pandas, matplotlib, plotly, etc.)
• Experience building web based tools or applications with a frontend component (e.g., React, Streamlit, Dash, or similar)
• Strong debugging and problem solving skills.
• Comfortable working with APIs and integrating third party services.

• Experience integrating LLM APIs or AI services into applications (prompt engineering, API orchestration, retrieval augmented generation)
• Familiarity with time series data analysis
• Experience with document automation or generation (Word, PDF, slides)
• Exposure to battery management systems or embedded systems workflows
• Experience with CI/CD, version control best practices, and collaborative development environments

• Compensation range: $135,000 - $160,000 USD (salary may vary based on job‑related factors)
• 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

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.

Cupertino, CA

We believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.

We are an equal‑opportunity employer committed to building a respectful and empowering work environment for all people.