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. We’re searching for a Staff Safety Engineer. 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 system safety engineering. Our team is responsible for understanding the functionality of the full stack and helping to define operational parameters 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

• Take a leading role in ensuring the Aurora Driver system is able to preserve key functionality and continue meeting safety goals in the presence of faults, failures, and functional limitations
• Collaborate with software subject-matter-experts to identify potential insufficiencies and specify countermeasures to ensure that the Aurora Driver is able to achieve safety goals
• Define and develop test, verification, and validation plans for our complex software product capabilities to ensure overall system safety

Required Qualifications

• Degree in Engineering, Computer Science, Robotics, or a related field
• Experience in safety critical industry, particularly with safety-critical software development standards, software safety fault/hazard analysis, and requirements-driven software verification and validation strategies
• Demonstrated proficiency in the application of ISO 21448 (SOTIF)
• Proficiency 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  

• 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
• Experience working within large, production-ready codebases
• Experience with agile/scrum framework

The base salary range for this position is $152,000.00 - $227,000.00 per year.  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.

Working at Aurora

Our work has real purpose. Delivering the benefits of self-driving will save lives around the world, expand access to transportation, revitalize cities, and give people time back every day.

We’re one team. We’re inspired by the challenge of what we’re solving and the impact our work will have on society. Our camaraderie is built on respect for our work and the fundamental belief our success will be a result of working together.

The Founding Team

Aurora has assembled the most experienced leadership team in this space. Chris Urmson helped lead Carnegie Mellon’s efforts in Darpa’s Grand Challenges, then was a founding member of Google’s self-driving team. Sterling Anderson worked on the tech at MIT before leading Tesla’s Autopilot system. Drew Bagnell, also a Carnegie Mellon alum, is a machine learning expert who helped build Uber’s autonomy effort. At Aurora, these three continue to bring experts from all areas of the industry to the team. We are funded by Amazon, T Rowe Price, and some of Silicon Valley’s best venture capital firms, including Sequoia, Greylock and Index Ventures.

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