Senior Autonomy Software Test Engineer

What you’ll do:

• Work with stakeholders through the software development life cycle creating test plans, test cases, and test execution of software features.
• Study CONOPS and customer requirements to ensure strong test coverage.
• Support Hardware-In-The-Loop (HIL), simulation (SIL), and flight testing for Shield AI’s autonomy software.
• Help stand up and drive automated testing and reporting pipelines as needed.
• Help drive high-quality software releases at a regular cadence to service customer needs.
• Seek out gaps in testing and implement solutions to fill them.
• Jointly own test coverage for all of Hivemind Edge software along with the Hivemind Test team.
• Document issues and communicate with the software and hardware teams to resolve the issues and drive them to closure.
• Help drive improvements in testing frameworks and pipelines.
• Resolve challenges and optimize software architecture at all levels of the stack from kernel to third party and internal libraries.
• Other duties as assigned.

Required qualifications:

• Bachelor’s degree in computer science or equivalent degree.
• 4+ years of professional work experience as a software engineer.
• 2+ years of professional experience in software test engineering.
• Proficient in developing test harnesses for production software.
• Proficient with designing test metrics.
• Strong experience in automated testing.
• Experience in ROS or related robotics frameworks.
• Experience with Gazebo or other simulation frameworks.
• Experience with integration of robotic software on hardware platforms.
• Experience with CI/CD tools such as Jenkins.
• Strong software skills in C++ and python.
• Experience in testing Object-Oriented Design, Distributed Systems, and Service-Oriented Architectures.
• You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.
• Demonstrated ability to quickly and effectively debug software that you are not familiar with.
• Strong verbal and written communications and presentations skills to accurately document and report findings to a variety of audiences.

Preferred qualifications:

• Master’s degree in computer science or equivalent degree.
• Experience with Azure, AWS, or GCP.
• Technical expertise in integrating and verifying software distributed systems.
• Familiarity with virtualization technologies such as Docker and Virtual Machines.
• Familiarity with database technology such as MySQL, Oracle, and MongoDB.
• Familiarity with SysML and git.
• Familiarity with networking.
• Experience in the self-driving car, UAV or other related autonomy industry.