Safety Engineer - Risk Management

Risk Assessment Methodologies

You will architect best practices for risk assessment methodologies, including publishing internal guidance on risk models, data sources and computation methods.

Collaboration and Expertise

You will collaborate with domain experts to build robust risk assessments with sustainable overhead for execution and flexibility in the face of an expanding product scope.

Stakeholder Engagement

You will connect with stakeholders, learn their pain points, and work to unblock barriers to scale.

Process Streamlining

You will streamline rate limiting processes, automate repetitive tasks, and develop tools to enable future projects.

Tool Familiarity and Innovation

You will familiarize yourself with tools available inside and outside the team/company/industry to unlock increased scale without compromising on rigor.

Culture Champion and Continuous Improvement

You will champion and promote a robust safety culture and the continuous improvement of the Waymo safety program across the engineering and operations organizations.

Technical Skills and Experience

• An advanced degree in Computer Science, Robotics, Engineering or other relevant technical field OR 4 years of practical experience involving safety risk assessments and quantitative statistical methods.
• Experience in software engineering for simulation and data evaluation, using Python or other high level language (e.g. SQL, R, C++)
• Direct experience developing risk models, sourcing and validating data, and using findings to make decisions/recommendations.
• Strong foundation in the process of risk management, including the end-to-end lifecycle of risk: identification, assessment, mitigation and acceptance of risk (e.g. following ISO 31000 or equivalent standards).
• Comprehensive understanding of safety critical system design and the systems engineering “Verification and Validation” process.
• Demonstrated technical project management skills with the ability to effectively manage multiple parallel, cross-functional safety-critical projects and teams.
• Ability to thrive in ambiguity.

Advanced Skills and Experience

• Advanced skills in data science and statistics with a focus on analyzing large data sets for quantitative risk reduction, safety insights, and performance assessment.
• Experience building automated, scalable data pipelines and working in production software environments.
• Experience in the role of “Trainer” of quantitative risk assessment methods for a variety of engineering backgrounds.
• Experience with C++ and Python.

Leadership and Influence

• Demonstrated technical project management skills with the ability to effectively manage multiple parallel, cross-functional safety-critical projects and teams.
• Ability to thrive in ambiguity.
• Proven leadership experience in working with external partners, contractors, suppliers, and regulatory bodies/auditors.

Pay and Benefits

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.

Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.