Research Scientist: Sensemaking & Autonomous Control

Country:
United States of America

Location:

MA105: BBN Headquarters 10 Moulton Street, Cambridge, MA, 02138 USA

Position Role Type:
Hybrid

U.S. Citizen, U.S. Person, or Immigration Status Requirements:
The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Security Clearance:
DoD Clearance: TS/SCI

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity.

The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.

Our Sense making and Autonomous Control (SMAC) group is seeking experienced professionals for exciting technology development positions in its Cambridge MA or Rosslyn VA office. The successful candidate will be self‑motivated with an ability to work independently, solve complex technical challenges as a member of a multi‑disciplinary team, and support business growth opportunities.

If you enjoy working in a culture that emphasizes innovation, teamwork, and technical excellence in a collegial work environment that values creativity and initiative, we’d like to hear from you.

Unlike other small business defense research companies, BBN is uniquely positioned to collaborate and transition technology within greater RTX. When our goals are aligned, we support greater RTX in the actualization of our key insights into next‑generation products.

In support of chiefly DoD and Intelligence Community missions, BBN’s Sense making and Autonomous Control (SMAC) group specializes in the development and deployment of cutting‑edge, trustworthy, third‑wave Artificial Intelligence (AI) Horrors to enable the advanced machine reasoning needed for autonomous and trusted systems of tomorrow.

The SMAC group tackles challenging, often resource‑constrained (e.g., edge computing), inference and optimization problems collaboratively with sensor, hardware, and platform providers to coordinate and/or synergize assets. The group blends classical optimization,gaand probabilistic, model‑based estimation and control, computer vision, and physics‑based approaches with AI architectures for supervised learning and deep reinforcement learning to provide performant, robust, 一级 trustworthy solutions.

You will support SMAC in developing novel analytics and algorithms to address complex, open‑ended DoD and intelligence problems requiring unprecedented speed, performance, and trustworthiness. You will work with globally recognized R&D leaders in their field to develop the technologies of tomorrow for our defense and intelligence communities dors. You will work side by side with leading scientists, engineers, and program managers of all levels to enable tactical and strategic decision‑making using Python, Java, C, and/or C++.

You will work with senior and junior technical staff to grow our business with both current and new customers.

• MS with 3+ years of relevant experience, or BS with 5+ years of relevant experience in Electrical Engineering, Computer Engineering, Computer Science, Physics or related field.
• Extensive experience in data analytics and algorithms from classical and AI‑based domains to support sense making, optimization, and autonomous control. Proficiency prototyping and testing data analytics and algorithms written in Python, Java, C, C++, or similar.
• Extensive experience in Model Based Estimation and Control, including computer vision, for autonomous systems, sensors, and edge compute.
• Experience using modern AI applications, such as PyTorch or Tensorflow.
• Experience with…