Qualifications
To excel in this role, candidates should possess:Strong programming skills in languages such as Python, C++, or Java. Experience with automated testing frameworks and methodologies. Familiarity with robotics and machine learning principles. Proficiency in software development practices including version control and agile methodologies. Excellent problem-solving abilities and a collaborative mindset.
About the job
FieldAI is at the forefront of embodied AI innovation, located within the vibrant robotics hub of Southern California. Our Irvine team is dedicated to creating robust, field-ready AI systems that tackle complex challenges in robotics. We prioritize real-world applications and strive for continuous improvement through extensive testing and deployment. If you're passionate about engineering solutions that make a tangible impact, FieldAI's Irvine office is the ideal setting for you. Our approach blends rigorous engineering with advanced learning systems, ensuring our robots not only perform well but also evolve with each deployment.
We are seeking a Software Engineer, Test Infrastructure to spearhead the development and scaling of systems that guarantee the reliability of our robotics platform.
In this pivotal role, you will be tasked with designing and building the infrastructure, tools, and automation necessary for comprehensive testing across both simulation and real-world environments. Collaboration with robotics, machine learning, and infrastructure teams will be key to enhancing software quality, minimizing manual testing, and boosting confidence in our software releases.
About FieldAI
FieldAI stands as a leader in the development of AI systems that integrate seamlessly with real robots and sensors. Our commitment to risk-aware and reliable solutions positions us as pioneers in the robotics sector, pushing the boundaries of what embodied intelligence can achieve.