Senior/Staff Safety Research Engineer, Crash and Injury Modeling

To become a Senior/Staff Safety Research Engineer at Zoox, you should hold an M.S. or higher degree in an Engineering or Science discipline, especially focusing on fields like biomechanical engineering or injury epidemiology. Additionally, you should have a minimum of 5 years of relevant experience analyzing automotive crash and naturalistic databases, along with strong quantitative analysis skills.

As a Senior/Staff Safety Research Engineer at Zoox, your responsibilities include leading data analysis to establish safety benchmarks, developing collision injury modeling, enhancing safety risk assessment methodologies, and collaborating with cross-functional teams to evolve Zoox's safety case framework. Your work directly impacts the design and safety of our autonomous driving technology.

The contributions of a Senior/Staff Safety Research Engineer at Zoox are critical for elevating the safety standards of our autonomous vehicles. Through rigorous analysis of crucial data sources and development of collision injury models, you will inform design decisions that directly affect the safety performance of our robotaxis on the road.

Essential tools and skills for a Senior/Staff Safety Research Engineer at Zoox include proficiency in quantitative analysis and modeling tools, as well as experience with Python for data manipulation. Familiarity with automotive safety research and strong communication skills are also important for effective team collaboration.

The salary range for a Senior/Staff Safety Research Engineer at Zoox typically falls between $176,000 to $290,000. The final compensation may vary based on geographical location, level of experience, and performance in interviews, along with the possibility of additional bonuses and stock options.

When answering this question, discuss specific projects or tasks where you analyzed crash data, detailing the methodologies you employed and the outcomes of your analysis. Emphasize your ability to interpret complex data and how it informed safety protocols.

In your response, outline your step-by-step process for developing collision injury models. Include any relevant data sources you use, your analytical framework, and how you ensure the reliability of your models.

Explain how you collaborate with various departments, such as engineering and policy, to strengthen your research findings. Highlight specific examples where teamwork led to better safety assessments or design improvements.

List specific risk assessment methodologies you're experienced with and provide examples of how you have applied them in past projects to assess the safety of autonomous systems effectively.

Discuss how you engage with ongoing education, such as attending conferences, reading peer-reviewed research, or networking within the industry. This shows your commitment to staying at the forefront of safety research.

Share a challenging project that illustrates your critical thinking and problem-solving skills. Highlight the obstacles you faced and how you overcame them, detailing your contributions to the project's success.

Your answer should reflect your understanding of the importance of safety in autonomous systems. Discuss your rationale for prioritizing safety data and how it shapes your research and development practices.

Mention the software tools (e.g., statistical analysis programs, data visualization tools) that you regularly use. Explain how these tools facilitate your research processes and enhance your ability to derive insights from data.

Define your approach to conflict resolution. Emphasize the importance of open communication, presenting evidence-based arguments, and collaborating to reach a consensus for the benefit of the project's goals.

Articulate your vision for how your research contributes to Zoox's goals. Discuss the potential outcomes of your work, particularly regarding improving safety and fostering public trust in autonomous mobility solutions.