Battery Test Data Tools Engineer (AI‑Enhanced)

Monks; Cupertino (CA); On-site; USD 135,000 - 160,000; Full time

Benefits offered by this job

Full coverage medical, dental, and vision insurance

Generous PTO and company-wide holidays

401k with company contribution

Paid parental leave

Work-life balance initiatives

Career growth opportunities

Diverse and inclusive company culture

Job summary

Monks is seeking a Software Engineer in Cupertino, CA, to build internal tools for their battery algorithm team. You'll develop applications for test data analysis and visualization, utilizing AI to enhance engineering workflows. The role requires proficiency in Python and experience with data libraries. You will collaborate closely with engineers to develop user-friendly applications, improve existing tools based on feedback, and integrate modern AI services into practical applications. The compensation range is $135,000 - $160,000 USD.

Qualifications

• 3+ years of professional software development in Python.
• Experience with data analysis and visualization libraries.
• Strong debugging and problem solving skills.

Responsibilities

• Build Python based applications for analyzing and visualizing battery test data.
• Develop web based GUIs to let engineers explore test results.
• Integrate LLM APIs to automate documentation.

Skills

Python programming

Data analysis

Problem solving

API integration

Frontend development

Education

B.Sc. or M.Sc. in Computer Science, Electrical Engineering, Mechanical Engineering, or related field

Tools

pandas

matplotlib

plotly

React

Job description

Monks is seeking a Software Engineer in Cupertino, CA, to build internal tools for their battery algorithm team. You'll develop applications for test data analysis and visualization, utilizing AI to enhance engineering workflows. The role requires proficiency in Python and experience with data libraries. You will collaborate closely with engineers to develop user-friendly applications, improve existing tools based on feedback, and integrate modern AI services into practical applications. The compensation range is $135,000 - $160,000 USD.