Autonomy Engineer II, Simulation

May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. We believe strongly in the need to demonstrate the safety of our Autonomous Vehicles, so that people can ride with confidence.  In many ways, this is an even more important goal for the AV industry than getting the vehicles to drive autonomously.  Simulation-based testing is a big part of our strategy to achieve this.  

We are looking for a versatile Simulation Infrastructure Engineer to join our team. This role is unique: you will help maintain our core simulation interface while also building out the surrounding ecosystem that turns raw simulation results into meaningful, actionable insights.

• →Develop, maintain, and enhance the simulation interface and APIs to support continuous AV system development.
• →Collaborate with data team members and other stakeholders to identify, implement, and validate software to measure autonomous vehicle performance indicators.
• →Develop, maintain, and support simulation tools to support the validation of safety and performance of autonomous vehicles.
• →Design and build systems to manage the simulation test portfolio and test results,  improving simulation test discoverability and usefulness across the organization.
• →Work with cross functional teams to develop software and system requirements.
• →Initiate and participate in team product quality activities including design reviews, code reviews, and documentation

Success in this role typically requires the following competencies:

• Excellent attention to detail and rigorous testing methodology
• Communicate effectively, clearly, concisely in written and verbal form both technical and non technical material
• Understands and applies industry best practices.
• Independently determines approach to assigned tasks.

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

• B.S. Degree in Computer Science, Computer Engineering, or an equivalent degree and a minimum of 2 years of industry experience
• Experience working in modern C++ (C++14/17/20)
• Strong working knowledge of design patterns, data structures, and algorithms
• Experience in some form of real-time simulation platform development and integration (game engine, autonomous vehicle simulation, etc…) 
• Previous experience developing in Linux environments or ability to adapt to this environment

We don't expect you to be an expert in everything, but experience with (or a desire to learn) in these areas will help you contribute quickly

• M.S. Degree in Computer Science, Computer Engineering and 2+ years of industry experience
• Experience designing, building, and expanding complex software systems with real-time or other performance constraints.
• Familiarity with AWS, Databricks, and Python for working with large-scale data processing.
• Experience in building web front ends, database schemas, and infrastructure-as-code to make complex data more accessible.
• Problem Solving: A "detective" mindset for triaging simulation failures and identifying root causes in complex, distributed systems.
• Experience with Applied Intuition simulation software (Simian, Logstream, Spectral, etc…), or other AV testing suite is a plus
  
  

• Standard office working conditions which includes but is not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use