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Research Scientist - Autonomous Collaborative Systems

RTX · East Hartford, CT · 2 mo ago
HybridFull-time

This is a hybrid role based in East Hartford, CT. U.S. citizenship or lawful permanent resident status is required.

About the Role

RTX Technology Research Center (RTRC) has a newly created position of Research Scientist in Autonomous Collaborative Systems (ACS). In this role, you will join the ACS team under the Artificial Intelligence (AI) discipline at RTRC. The team is engaged in a wide variety of research areas including computer vision, decision making, trustworthy and explainable AI, and human-machine symbiosis for high-impact real-world problems in aerospace, manufacturing, and defense industries. Examples include multi-agent coordination, self-functioning systems of systems, cybersecurity, automated visual inspection of parts, and robotic perception and manipulation.

Responsibilities

  • Design and develop algorithms for perception, decision-making, human-machine collaboration, networked and teamed systems, and next-generation autonomous platforms.
  • Prototype and simulate autonomous systems by writing code, developing software (simulation and visualization), interfacing software/hardware, and supporting real-time demonstrations of autonomy in live, virtual, and simulation test environments.
  • Lead and support externally and internally sponsored programs, including writing research proposals.
  • Build relationships to support partnerships with leading worldwide institutions (universities, government agencies, national labs, and professional organizations) to meet organizational objectives.
  • Disseminate research results through reports, conference proceedings, presentations, and technical papers for archival journals.

Requirements

  • University Degree or equivalent experience and minimum 8 years of prior relevant experience, or an Advanced Degree in a related field and minimum 5 years of experience. PhD required.
  • Hands-on experience 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.

Preferred Qualifications

  • Experience using modern software development environments, including automated testing, continuous integration, deployment, and "DevSecOps" environments.
  • Experience setting technical direction from initiation to execution of projects and managing technical deliverables for a small team.
  • Proficiency with PyTorch/TensorFlow, ROS, MATLAB; real-time control prototyping, and Software/Hardware-in-the-Loop testing.
  • Strong analytical, problem-solving, written/verbal communication, and interpersonal skills with a track record of teamwork, adaptability, innovation, and initiative.
  • Clear and effective communication with all levels of management, business development, researchers, and customers.
  • Ability to work independently with limited direction and in a multidisciplinary environment.
  • Experience with Python, C++, cloud computing, and configuration management.
  • Broad awareness of advancements in intelligent autonomous systems.
  • Track record of innovation through patents, research contributions, or publications in prestigious venues such as NeurIPS, CVPR, ICRA, IROS, RSS, and AAAI.

Schedule

This is a hybrid role. Employees will work regularly both onsite and offsite, with the ratio of onsite time determined in partnership with your leader.

Pay

The salary range for this role is 107,500 USD - 204,500 USD. The range provided is a good-faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including role, function, responsibilities, work experience, location, education/training, and key skills.

Benefits

  • Medical, dental, and vision insurance.
  • Life insurance, short-term disability, and 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.
  • Eligibility for annual short-term and/or long-term incentive compensation programs (dependent on role level and collective-bargaining agreements).

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