Submit Interest in Future Technical Positions with the ARM Institute
Even if there are no technical positions listed above, we encourage those with technical skills centered on robotics and artificial intelligence (AI) to submit their interest in future positions with the ARM Institute using the button below. As the ARM Institute identifies areas of need and robotics/AI capabilities needed to strengthen U.S. manufacturing, we may hire for new technical positions and encourage you to complete the form below if our mission sounds interesting to you.
If you submit interest, we will be in touch when/if a position becomes available that meets your skillset. There is no need to follow-up beyond the form submission.
Technical areas that may be of interest to us in the future may include:
- Robotics Software Engineering – Developing autonomy pipelines for robotics, covering perception, planning, scheduling, and control on diverse platforms. Proficient in multiple robot controller languages, including creating meta-languages for interoperability.
- Artificial Intelligence (AI) Software Engineering – Demonstrated skill base of a variety of AI algorithms, techniques, and methods for assessing their suitability for a technical problem, applying them to manufacturing problems, and instrumenting their deployment context with sensors and instrumentation to detect unanticipated and out-of-bound events. AI includes machine learning (ML) and deep learning (DL)
- Data-driven Software Engineering – Skills at developing tools and tool environments for the filtering, processing, and transformation of data for data-driven analysis, perception and control of automation, robotics, and manufacturing processes. AI software development skills are considered extensions of data-driven software engineering.
- Modeling and Simulation Software Engineering – Development, specification, configuration, and hardware-in-the-loop (HIL) and software-in-the-loop (SIL) integration experiences with modeling and simulation systems that are used in manufacturing and robotics. Such skills may include the use and familiarity with a variety of physics-based modeling engines, as well as the development of reduced order models (ROMs) for specific and ad hoc model and simulation (M&S) purposes
- DevOps Software Engineering – Capable of providing a variety of ad hoc and short-term software system configurations that are principled, architected with well-documented trade-off considerations, and with tools for assessing the performance of their primary quality attributes.
- Web and Microservice Software Engineering – Development of service-oriented architectures at a variety of scales and performance characteristics, understanding of the current state of the art and how to develop extensions beyond the current state of the art (SOTA).
- Software-Intensive Systems Engineering – Experience with executing projects from design to implementation and subsequent operational maintenance while maintaining and applying the principles and best systems engineering practices. Minimum requirement is the ability to maintain provable traceability in system designs and implementations, as well as documentation of the trade spaces that were considered in determining the system architecture. Familiarity with engineering notations and tools is preferred.
