Full Description

About SteerAI SteerAI is an autonomous mobility technology company powered by VentureOne, the commercialization arm of the Advanced Technology Research Council. SteerAI’s advanced AI-powered autonomy stack, developed by the Technology Innovation Institute, empowers the logistics and defense industries by turning industrial vehicles into autonomous powerhouses that can handle complex off-road missions, transforming operations and protecting organizations' most important assets: their workforce.

Role Overview We are seeking a Senior DevOps Automation Engineer with a strong background in robotics to join our team. The ideal candidate will have experience in automating tests and CI/CD pipelines specifically for robotic systems. This role involves intertwining development processes into workflows, testing and analyzing code, and implementing automation where applicable.

Responsibilities

Develop and maintain automated test frameworks specifically tailored to evaluate the performance of robotic systems. Maintain and optimize CI/CD pipelines, focusing on the unique requirements of robotic software and hardware integration. Define and implement key performance metrics for robotic localization, such as accuracy, reliability, and resilience to outliers. Develop testing strategies for robotic perception systems, including metrics for obstacle detection and tracking accuracy. Create test plans for robotic navigation, focusing on path tracking accuracy, oscillation detection during movement, and overall system efficiency. Establish decision-making metrics to assess the efficiency and reliability of robotic decision processes. Collaborate with robotics engineers to integrate these metrics into the overall development and testing cycle. Analyze test results and provide insightful feedback to guide improvements in robot performance and reliability. Stay updated with the latest advancements in robotics and automation testing methodologies.

Requirements

Proven experience in test automation and CI/CD pipeline development, preferably in a robotics context. Experience with CI/CD tools like (e.g. Jenkins) and scripting languages (Python, Java). Experience in version control (e.g git), docker. Familiarity with orchestrating containerized applications using Kubernetes. Experience in building deployment pipeline preferably in a robotics context. Strong understanding of security principles and best practices, and the ability to provide thought leadership, alongside deploying these ideas and driving adoption. Experience in developing and implementing performance metrics for robotic systems. Strong analytical skills, with the ability to interpret complex data and provide actionable insights. Excellent problem-solving abilities and attention to detail. Effective communication and collaboration skills, capable of working in cross-functional teams. Familiarity with robotic simulation tools and environments is a plus. Bachelor’s or Master’s degree in Robotics, Computer Science, Software Engineering, or a related field.