The role involves working with Tesla's manufacturing quality data engineering team to design, create, and deploy innovative data services and automation tools. You will focus on scaling infrastructure, implementing automated testing frameworks, and collaborating with cross-functional teams to enhance product reliability and minimize software issues.

• Master’s Degree in Computer Science, Information Technology, or a related field, or equivalent experience
• 3+ years of software testing experience including design and development of test automation frameworks
• Proficient in Python and JavaScript
• Passionate about troubleshooting errors to determine root cause and prevent future occurrences
• Excellent communication skills with a detail and result-oriented mindset
• Comfortable and adaptable in a fast-paced environment and able to handle multiple deadlines

• Led the design, implementation, and optimization of automated testing frameworks for large-scale web and mobile applications
• Collaborated with cross-functional teams to integrate automated testing into CI/CD pipelines using Jenkins
• Developed and maintained comprehensive test automation suites in Java, Python, and JavaScript
• Conducted in-depth code reviews and mentored junior QA engineers on best practices for test automation
• Analyzed test results and defect patterns using data-driven approaches
• Championed quality assurance initiatives by integrating performance and security testing automation
• Drove continuous improvement through root cause analysis of test failures

• Employees at Tesla are often offered day-one coverage with multiple medical options (some at $0 paycheck cost), dental/vision, company HSA contributions, a 401(k) match, and equity programs. Most roles also include paid time off and holidays, family-building support, employee assistance, commuter and childcare benefits, and access to discounts and wellness programs.