Job Summary

Test Engineers serve as key stakeholders in the R&D process, planning and executing tests for the software and hardware that goes into our autonomous vehicles. May uses a variety of requirements-based testing techniques to accomplish this. Since we operate in a relatively new space, Test Engineers often have to get creative to get the job done, pioneering new processes along the way. Our testing touches both R&D for future systems and quality validation of deployed products. The Senior Test Engineer helps develop and execute test plans while mentoring the engineering team. You will be responsible for designing, building, and optimizing simulation tests that validate autonomous vehicle systems. Your work will play a critical role in accelerating the deployment of safe, reliable, and efficient autonomous vehicles.

Essential Responsibilities

• Guide a team of test engineers as they develop and execute comprehensive, well- structured test plans for May’s autonomous vehicle fleet and infrastructure, including software, firmware, hardware, and mechanical components
• Champion product quality, introspection, and validation throughout the product development process
• Interpret test results, produce follow-up plans, and ensure compliance with quality standards
• Work with Autonomy and Systems Engineering engineers and designers to fully understand validation needs in order to provide testing support in a fast-moving development environment
• Ensure issues are thoroughly documented when encountered during testing and validation
• Contribute to product quality metrics and acceptance criteria
• Use automated, functional, performance, stress, regression, white-box, black-box, and soak testing methodologies to test systems, subsystems, and products efficiently in both real-world and simulated environments
• Create and manage processes and guidelines for vehicle validation testing and deployment
• Conduct thorough testing and validation of simulation environments and provide detailed reports on system performance.
• Develop diverse and complex scenarios to validate autonomous driving algorithms, including perception, planning, and control systems.

Skills and Abilities

Success in this role typically requires the following competencies:

• Ability to construct, plan and complete tests in an environment where precedent may not be set
• Flexibility with roles and responsibilities to accommodate rapidly changing testing needs
• Demonstrated ability to prioritize and plan complex deliverables
• Strong communication skills with technical and non-technical teams
• Familiarity with product and software life cycles
• Ability to undergo a driving record check
• Ability to operate and drive May Mobility test vehicles
• Demonstrated expertise in designing and executing simulations

Qualifications and Experience

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

Required Qualifications:

• Bachelor’s degree in an applicable engineering field
• 5 years experience testing complex safety-critical systems involving software, firmware, and/or hardware, preferably in an automotive context
• Valid driver’s license and clear driving record
• Experience using Linux-based operating systems

Desirable Qualifications:

• Master’s degree in an applicable engineering field (Robotics, Compute Science)
• Experience testing vehicles or autonomous robotic systems
• Previous contributions to engineering processes
• Coding and/or scripting experience in high level languages (Java / Python)
• Experience with Autonomous Vehicle Simulation tools (Applied Intuition, Carla, Gazebo, Unity, or Unreal Engine)
• Knowledge of OpenScenario, OpenDrive, or other simulation standards.
• Experience with cloud-based simulation platforms or containerization tools like Docker.

Physical Requirements

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

Travel required? -  Moderate: 11%-25%