Software QA Engineer II

As a Software QA Engineer II at Woven by Toyota, your responsibilities include creating and maintaining evaluation codes that measure vehicle data, extracting customer requirements to establish testing criteria, and applying evaluators to driving datasets. You'll collaborate with internal teams to facilitate data-driven analyses, monitor performance, and ensure data quality. Your role also involves providing detailed documentation for workflows and testing plans, contributing significantly to our commitment to continuous improvement and safety in autonomous driving technology.

To apply for the Software QA Engineer II position at Woven by Toyota, candidates should have a minimum of 3 years of experience working with simulation systems and requirements testing, along with at least 5 years of software development experience in Python, C++, and SQL. A strong understanding of large-scale data generation, automated driving technologies, and common software development practices is also required. Familiarity with tools like GitHub, Jira, and a foundational comprehension of QA/QC processes will give candidates an edge.

At Woven by Toyota, the software testing environment is unique due to our integration of cutting-edge mobility technologies with a commitment to human-centered design. Our team thrives on collaboration and continuous improvement, following the Kaizen philosophy. You will have the opportunity to work with advanced simulation systems and contribute directly to autonomous driving and driver assist systems, making a meaningful impact on vehicle safety and performance.

Yes, Woven by Toyota values familiarity with specific tools that enhance project efficiency and collaboration. As a Software QA Engineer II, having experience with GitHub Enterprise for release management, Jira for issue tracking, and Confluence for documentation will be beneficial. Moreover, proficiency in test management tools will vastly improve the quality of your contributions as you work closely with cross-functional teams on developing and testing automotive software solutions.

The expected salary range for a Software QA Engineer II at Woven by Toyota is between $112,000 and $184,000 annually. This compensation is part of a comprehensive package that includes short-term and long-term incentives, as well as excellent health, wellness, and retirement benefits. Salaries vary based on the individual's skills, experience, and qualifications, reflecting our commitment to fair and competitive compensation.

When answering this question, highlight your relevant experience with specific simulation systems you’ve worked on in previous roles. Discuss the complexities of the environments, the types of simulations you conducted, and how they relate to autonomous vehicle testing. Mention any specific projects where you played a crucial role in addressing quality issues.

Discuss your approach to gathering requirements from customers, emphasizing excellent communication and active listening skills. Highlight techniques such as workshops, interviews, and surveys to ensure you capture their needs accurately. Sharing a specific example where you effectively translated customer requirements into measurable testing criteria would further strengthen your answer.

List the programming languages you are proficient in, specifically Python, C++, and SQL as highlighted in the role. Describe projects where these languages were crucial, including examples of how you used them for automation, data analysis, or quality control in software testing, showcasing your technical skill set.

Use the STAR (Situation, Task, Action, Result) method to describe a specific situation where you encountered a critical bug. Explain the context, your responsibilities, the steps you took to identify and resolve the issue, and the positive outcome that followed, reinforcing your problem-solving skills and attention to detail.

Emphasize your systematic approach to maintaining quality standards, such as developing comprehensive test plans, implementing automated testing where feasible, and ensuring thorough documentation. Share past examples of strategies that led to successful outcomes, like reducing defects and improving product reliability.

Discuss the methods you employ to validate and verify that the datasets align with real-world vehicle behavior. This can include cross-referencing with telemetry data, peer reviews, and collaborating with engineering teams to understand performance expectations. Highlighting specific examples where your validation improved data accuracy can further enrich your response.

Share your collaborative experiences, emphasizing your ability to work effectively with teams across engineering, product management, and customer support. Provide specific examples that showcase your communication skills and how collaborative efforts led to successful project outcomes, enhancing overall performance.

Describe a project where your initiatives led to enhanced testing efficiency. Focus on the specific actions you took, such as introducing automation tools, streamlining processes, or enhancing data analytical techniques, and quantify improvements if possible, such as reduced testing times or increased coverage.

Express your understanding of the Kaizen philosophy as a commitment to continuous improvement. Illustrate how you integrate this mindset into your daily work by actively seeking areas for enhancement and soliciting feedback from peers. Sharing examples of minor iterative improvements that led to significant project advantages can provide insight into your approach.

Tailor your answer to reflect your admiration for Woven by Toyota’s mission, culture, and innovation within the autonomous driving sector. Discuss how your skills align with the needs of the company and express your enthusiasm for contributing to cutting-edge projects that prioritize safety and user satisfaction.