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Autonomous System Development Lead
4 months ago
**Date Posted**:
2024-05-16
**Country**:
United States of America
**Location**:
RC1: United Tech Research Center 411 Silver Lane, East Hartford, CT, 06108 USA
**Position Role Type**:
Hybrid
- Job Description
For more than 90 years the RTX Technology Research Center (RTRC) has operated as a multidisciplinary group of experts collaborating on groundbreaking innovations. Our team includes some of the world’s leading scientists, researchers and engineers working to anticipate the discoveries destined to change everything, and they transform that research into the solutions and products that help our businesses shape the future of aerospace and defense. Our unique talent, experience and resources allow us to deliver rapid responses to critical, time-sensitive challenges and develop breakthroughs for a safer, more connected world.
The Dynamics, Control, and Autonomy Team, part of the Aerothermal and Intelligent Systems Department, at RTX Technology Research Center (RTRC) is looking for a highly motivated individual for the position of research engineer specialized in Autonomy and/or Operations-Support Technologies.
Empowering innovation among the company’s businesses.
Solving customers’ critical problems.
Developing breakthroughs for a safer, more connected world.
Working with major universities and national laboratories on groundbreaking research.
The Dynamics, Controls, and Autonomy team supports dynamical system analysis and modeling, control system analysis and design, and autonomous systems research for all RTX business units, including both development of novel solutions for future products and solving the toughest problems with current products. In parallel, we are working with government customers on more broadly applicable technology.
**What You Will Do**:
The responsibilities include:
- leading technology maturation for advanced autonomy algorithms and capabilities for both business and government customers, including AI-assisted course of action generation, collaborative autonomy, mission management, multi-agent path planning, and AI assurance;
- leading validation, demonstration, and transition of autonomy capabilities as part of both government-funded and company-funded R&D programs, including rapid prototype deployment and demonstration on hardware platforms
- leading and supporting externally and internally sponsored programs, writing external and internal research proposals;
- building relationships to support developing business relationships with industry, academia, and government agencies;
- disseminating research results through reports, conference proceedings, and peer-reviewed articles, and developing intellectual property.
- to effectively communicate with a broad range of stakeholders, both technical and non-technical, and manage tech transition efforts with the business unit and government customers.
**Qualifications You Must Have**:
- U.S. Person (U.S. citizen, permanent resident, refugee or asylee) or eligible to obtain necessary export authorizations required.
- strong background and understanding in autonomous systems, from high-level algorithms to embedded software implementation, including industry experience
- leadership experience in delivering complex systems and/or algorithms or software features at product level
- strong background in machine learning, optimization and software engineering
- Artificial Intelligence (AI) and/or Machine Learning (ML) for perception and sensing
- AI-assisted course of action generation
- collaborative autonomy, mission management, and multi-agent path planning
- Embedded software development and validation
**Qualifications We Prefer**:
Experience with one or more of these is desirable:
- Experience with writing proposals for Gov’t funded research, record of grants
- Real-time control prototyping and Software/Hardware-in-the-Loop testing
- Model-Based System Engineering (MBSE)
- Control system analysis and design
- Reinforcement learning
- Experience with 3D rendering pipelines such as trimesh, OpenGL, etc.
- Software life-cycle management experience
- assurance of AI systems
Education
Preferred: Ph.D. in Mathematics, Physics, Computer Science, or Engineering with 5+ years of professional experience, post-degree. MS in the above disciplines with 8+ years of full-time industrial experience may be considered.
Additional Skills and Abilities
Strong analytical, problem-solving 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 and lead others in a fast-paced, dynamic team environment
Ability to work independently with limited direction and in multidisciplinary environment to accomplish project goals
Ability to lead others through uncertainty
Requires expert or mastery level knowledge of work area, typically obtained through advanced educati
