The QA Engineer is responsible for ensuring the quality and reliability of Tesla’s software products
through systematic testing, automation, and continuous improvement. This role combines manual
and automated testing methodologies to validate functionality, performance, and compliance
across software systems.
Develop, modify, and execute comprehensive test plans, test cases, and automated
scripts.
Perform functional, regression, performance, and basic security/compliance testing.
Conduct exploratory testing to uncover edge cases and improve test coverage.
Design and implement robust automated test frameworks and scripts using industrystandard tools and programming languages (e.g., Python, Java, Selenium, PyTest).
Maintain and scale automation suites to support agile and continuous
integration/continuous delivery (CI/CD) pipelines.
Identify, document, and prioritize software defects.
Collaborate with software development teams to reproduce, debug, and resolve issues.
Conduct root cause investigations of field failures using fleet-level data analytics and
source code inspection when applicable.
Analyze test results and provide actionable feedback to improve software quality.
Recommend corrective actions and process enhancements to prevent recurrence of
defects.
Contribute to the development of test standards, procedures, and best practices.
Work closely with software engineers, product managers, and systems engineers to
understand requirements and ensure quality is built into the development lifecycle.
Support post-change validation after software updates or fixes.
Maintain detailed records of test results, automation scripts, and quality metrics.
Generate test reports and dashboards for stakeholders and leadership.
Bachelor’s degree in computer science, Engineering, or related field, or equivalent practical
experience.
Proven experience in software quality assurance, with strong focus on test automation.
Proficiency in programming/scripting languages (e.g., Python/ Java, JavaScript).
Experience with test automation frameworks (e.g., Playwright, Selenium, PyTest,TestNG).
Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI).
Knowledge of version control systems (e.g., Git).
Understanding of software development lifecycle (SDLC) and agile methodologies.
Strong analytical skills and attention to detail.
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