Autonomous System Development Lead

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

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.

RTRC serves as the innovation hub for RTX. We conduct basic and applied research in a stimulating multi-disciplinary environment where scientists, engineers, practitioners and subject matter experts collaborate and exchange experience. We transform that research into the solutions and products that help our businesses shape the future. We are:

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:

We are looking for a highly motivated candidate with broad expertise in robotics, autonomy, software, machine learning and optimization to apply and extend the state of the art . The candidate is expected to work on transitioning novel concepts from early technology stages to a state that impacts and influences businesses and applications.

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 the development and delivery of integrated robotic, imaging, and machine learning systems for industrial applications like automated inspections of parts.

• 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.

• The preferred candidate will have a strong understanding of science and engineering principles and a record of innovation as evidenced by patent applications, a track record of writing proposals for government funded research programs, and/or high-quality journal and conference publications. The candidate must be self-motivated, and must have excellent written/verbal communication and strong problem-solving skills. US person status (green card) or US citizenship is required.

Qualifications You Must Have:

The candidate will 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

The candidate will have solid skills in the following areas:

• 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

The preferred candidate will look at open-ended tough problems as an opportunity to innovate and develop novel solutions

Requires expert or mastery level knowledge of work area, typically obtained through advanced education combined with experience.

May have deep knowledge of project management. Advanced knowledge of related disciplines within work area and ability to identify links and potential impact on projects, programs or systems.

Typically requires:

A University Degree or equivalent experience and minimum 10 years

prior relevant experience, or An Advanced Degree in a related field and minimum 7 years experience Engineering/Other Technical Positions: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience unless prohibited

by local laws/regulations.

The salary range for this role is 118,000 USD - 246,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms