Staff Systems and Behavioral Safety Engineer na Aurora Innovation

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. 

This role is within Aurora's Systems and Safety Engineering group, which is responsible for the engineering work of designing and developing architecture, algorithms, and tools needed to ensure that the Self Driving Vehicle meets Aurora's Safety Case - an unsolved problem for the industry and one of the most difficult challenges in the history of systems/safety engineering. Our team is responsible for understanding the functionality of the autonomy stack and helping to define operational parameters and strategies important to maintain safe driving conditions. The successful candidate will be a self-starter and able to work independently, learn, tailor and execute processes, and perform in a collaborative environment.

In this role, you will 

• Own the definition of vehicle behaviors, capabilities, and operational contexts: 
• Develop Use Cases;
• Develop Concepts of Operation that support Safety Analysis, Platform Requirements development, and feature/function definition;
• Develop Operational Design Domain (ODD) ontology; 
• Identify applicable policy and regulations in collaboration with subject matter experts.
• Collaborate with Software, Systems and Safety Engineering teams to: 
• Support defining system architectures;
• Define system level requirements for AV capabilities, end-to-end behavior, and applicable performance metrics;
• Perform detailed data analysis to rationalize the desired system level requirements and test coverage;
• Decompose requirements down to sub-system level with sufficient traceability;
• Support requirement management workflows, traceability, and tooling.
• Facilitate cross-functional co-development activities and working groups including support to design reviews, reconciliation of requirements, and producing high quality documentation.
• Develop verification and validation strategies, and demonstrate coverage against requirements, in conjunction with software and test teams.
• Develop analysis strategies, explore potential system deficiencies and propose statistical approaches for coverage 
• Ensure best practices from industry, academia, and internal lessons learned are understood and consistently applied throughout the organization.
• Define and get cross functional alignment on new processes to support systems and safety engineering work

Required Qualifications 

• Degree in Engineering, Computer Science, Robotics, or a related field
• Five or more years experience in a safety critical industry with safety-critical software development standards, software safety fault/hazard analysis, and requirements-driven software verification and validation strategies
• Experience in Python for engineering and data-driven analysis 
• Experience writing testable system-level and software-level requirements
• Experience assessing software design and performing code reviews
• Comfortable working with ambiguity, evolving priorities, and challenging problems
• Excellent communication and presentation skills

Desirable Qualifications

• Demonstrated proficiency in the application of ISO 26262, ASPICE, and ISO 21448 (SOTIF)
• Familiarity with the applications of Artificial Intelligence or Autonomous Systems technologies (e.g., Reinforcement Learning, Deep Learning, Machine Learning) to sensing, perception, multi-unit planning, or command and control of autonomous systems
• Familiarity with C++ and modern software development practices and designs, unit testing, integration test, and release processes
• Experience with various testing modalities

The base salary range for this position is $189,000 - $303,000. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

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#Mid-Senior