RTX · 3 days ago
Principal Research Scientist - Autonomy
RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. The Principal Research Scientist in Autonomous Collaborative Systems will engage in cutting-edge research in AI and autonomy, focusing on developing algorithms and systems for autonomous capabilities across various applications.
AerospaceManufacturingSecuritySensorTelecommunications
Responsibilities
We are looking for a candidate who is eager to apply and extend state-of-the-art Artificial Intelligence approaches to a variety of application areas. Someone who is especially motivated to work towards enabling autonomous capabilities including sensing & perception, task & motion planning, reasoning & decision making, human-autonomy teaming, and robot learning
Designing and developing algorithms for perception, decision-making, human-machine collaboration, networked and teamed systems, and next generation autonomous platforms
Prototyping and simulating autonomous systems by writing code, developing software (simulation and visualization), creating algorithms, interfacing software/hardware, and supporting real-time demonstrations of autonomy in live, virtual, and simulation test environments
Leading and supporting externally and internally sponsored programs, writing external and internal research proposals
Building relationships to support partnership with leading, worldwide institutions (university, government agencies, national labs, and professional organizations) and meet organizational objectives
Disseminating research results through reports, conference proceedings, presentations, and technical papers for archival journals
Qualification
Required
Ph.D. in Robotics, Computational Cognitive Science, Computer Science, Electrical, or Mechanical Engineering, Aerospace, Mathematics, or a related field
5+ years of hands-on experience in working with autonomous systems, artificial intelligence, deep/reinforcement/machine learning, robotics, dynamics and controls, flight test and evaluation, modeling & simulation, data science, and statistical analysis
Experience applying AI based perception and/or Reinforcement Learning techniques to solve real world problems
Broad awareness of advancements in intelligent autonomous systems
Programming languages: Python, C++, ROS; cloud computing, and configuration management
U.S. citizenship is required, as only U.S. citizens are authorized to access the financial management system due to government contractual requirements
Preferred
Experience using a modern software development environment including automated testing, continuous integration, and deployment, and 'DevSecOps' environments
Experience setting technical direction from initiation to execution of projects and managing technical deliverables for a small team
Experience with PyTorch/TensorFlow, MATLAB, Julia, Java; Real-time control prototyping and Software/Hardware-in-the-Loop testing
Strong analytical, problem-solving, written/verbal communication, and interpersonal skills with track record of teamwork, adaptability, innovation, and initiative
Clear and effective communication with all levels of management, business development, researchers, and customers
Ability to focus on results in a fast-paced, dynamic team environment
Ability to work independently with limited direction and in multidisciplinary environment
Benefits
Parental (including paternal) leave
Flexible work schedules
Achievement awards
Educational assistance
Child/adult backup care
Medical
Dental
Vision
Life insurance
Short-term disability
Long-term disability
401(k) match
Flexible spending accounts
Employee assistance program
Employee Scholar Program
Paid time off
Holidays
Company
RTX
RTX is comprised of three market-leading businesses – Collins Aerospace, Pratt & Whitney and Raytheon – working as one to answer the biggest questions and solve the hardest problems in aerospace and defense.
Funding
Current Stage
Public CompanyTotal Funding
$3.2MKey Investors
LIFT Ecosystem Accelerator
2024-02-22Grant· $0.2M
2019-06-09Acquired
2010-01-14Grant· $3M
Leadership Team
Recent News
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2026-01-22
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2026-01-09
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