About the job
About Basis
Basis is a nonprofit organization dedicated to advancing applied AI research with two interconnected objectives.
Our primary goal is to understand and develop intelligence. This involves establishing the mathematical foundations of reasoning, learning, decision-making, comprehension, and explanation, as well as creating software that embodies these principles.
The second objective is to enhance society’s capacity to tackle complex challenges. We aim to broaden the range, scale, and complexity of issues we can address today, while also accelerating our future problem-solving capabilities.
To fulfill these objectives, we are constructing a new technological framework inspired by human reasoning and fostering a collaborative organization that prioritizes human values.
About the Role
As the Hardware Systems & Lab Engineer, you will play a pivotal role in both designing and constructing robotic hardware systems and overseeing the safe, efficient operation of our robotics lab. Your creations will serve as the physical embodiments of our AI research, while your management will facilitate rapid and secure experimentation.
We seek an individual who marries hands-on engineering prowess with operational excellence. The ideal candidate will possess experience in building custom robotic systems, a thorough understanding of the complete mechatronics stack from sensors to actuators, and the capability to maintain a lab environment conducive to safe and productive research. You will design modular hardware for testbeds, develop sensor/actuator systems for experiments, and uphold the infrastructure essential for physical AI research.
This position requires a balance of innovative hardware development with strict adherence to safety and operational protocols. You will collaborate closely with researchers to translate algorithmic needs into tangible systems, all while ensuring a well-organized, secure, and efficient laboratory setting.
We are looking for candidates who excel in both the construction and operation realms, prioritize safety, and recognize that excellent research relies on robust infrastructure.

