Job Summary (List Format):
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Position: Software QA Engineer
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Location: Fully onsite in Palo Alto, CA (locals only)
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Industry: Electric Vehicles (EV)
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Interview: Video
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Start Date: 2-4 weeks
Key Responsibilities:
- Develop and execute manual and automated test cases.
- Create test plans, test scenarios, and test data.
- Perform functional, integration, system, regression, and end-to-end testing.
- Test web, mobile, and client-server applications.
- Build and maintain automation scripts using Python and Selenium.
- Validate backend data using SQL and MySQL.
- Log, track, and retest defects through resolution.
- Report testing progress, risks, and quality metrics to stakeholders.
- Collaborate with engineering teams to identify and resolve system issues.
- Support application releases and post-deployment validation.
- Maintain testing documentation and contribute to knowledge sharing.
Technical Requirements:
- Proficient in Python and Selenium WebDriver.
- Strong SQL/MySQL skills; experience with Redis.
- Experience with Agile/Scrum methodologies.
- Familiarity with JIRA, Zephyr, or TestLink.
Required Qualifications:
- 3 5 years of Software QA or Test Engineering experience.
- Experience in test automation for web-based and client-server applications.
- Knowledge of black-box and white-box testing methodologies.
- Experience in data validation and backend testing.
- Strong analytical and communication skills.
- Bachelor's or Master's in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience).
Preferred Qualifications:
- Experience with mobile application testing and automation frameworks.
- Familiarity with CI/CD pipelines and release processes.
- Additional programming experience (Java, C#, C++, etc.).
- Experience with deep learning frameworks (PyTorch, TensorFlow, or JAX).
- Knowledge of machine learning, statistics, and model evaluation.
- Experience with LLMs, Generative AI, recommender systems, or enterprise-scale ML platforms.
- Experience working with large, complex datasets.
Additional Information:
- LinkedIn profile required for submission.
- Background check required.
- No visa restrictions.
- No drug screen required.
or continue with email
-
Position: Software QA Engineer
-
Location: Fully onsite in Palo Alto, CA (locals only)
-
Industry: Electric Vehicles (EV)
-
Interview: Video
-
Start Date: 2-4 weeks
Key Responsibilities:
- Develop and execute manual and automated test cases.
- Create test plans, test scenarios, and test data.
- Perform functional, integration, system, regression, and end-to-end testing.
- Test web, mobile, and client-server applications.
- Build and maintain automation scripts using Python and Selenium.
- Validate backend data using SQL and MySQL.
- Log, track, and retest defects through resolution.
- Report testing progress, risks, and quality metrics to stakeholders.
- Collaborate with engineering teams to identify and resolve system issues.
- Support application releases and post-deployment validation.
- Maintain testing documentation and contribute to knowledge sharing.
Technical Requirements:
- Proficient in Python and Selenium WebDriver.
- Strong SQL/MySQL skills; experience with Redis.
- Experience with Agile/Scrum methodologies.
- Familiarity with JIRA, Zephyr, or TestLink.
Required Qualifications:
- 3 5 years of Software QA or Test Engineering experience.
- Experience in test automation for web-based and client-server applications.
- Knowledge of black-box and white-box testing methodologies.
- Experience in data validation and backend testing.
- Strong analytical and communication skills.
- Bachelor's or Master's in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience).
Preferred Qualifications:
- Experience with mobile application testing and automation frameworks.
- Familiarity with CI/CD pipelines and release processes.
- Additional programming experience (Java, C#, C++, etc.).
- Experience with deep learning frameworks (PyTorch, TensorFlow, or JAX).
- Knowledge of machine learning, statistics, and model evaluation.
- Experience with LLMs, Generative AI, recommender systems, or enterprise-scale ML platforms.
- Experience working with large, complex datasets.
Additional Information:
- LinkedIn profile required for submission.
- Background check required.
- No visa restrictions.
- No drug screen required.
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