Senior Autonomous Systems Research Scientist

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profile Job Location:

Pittsburgh, PA - USA

profile Monthly Salary: Not Disclosed
Posted on: 10 days ago
Vacancies: 1 Vacancy

Job Summary

AsAI-enabled autonomous systemsgetcloser to widespread deployment fundamental research questionsremainaround their development and use especially in high-stakes environments. How can we guarantee systems respond appropriately in critical scenarios How can we employ collaborative autonomy to maximizemissionobjectives What is theappropriate levelof autonomy to enable a specific mission

The AI for Autonomy Lab within the SEIs AI Division is recruiting a Senior Autonomous Systems Research Scientist who has a passion for solving complex problems in real-world mission-critical environments to tackle questions like these. The lab is focused on the lifecycle of AI-enabled autonomoussystems andhelping our sponsors applyAIappropriately to increase system effectiveness without adding unacceptable risk.

Position Summary:As a Senior Autonomous Systems Research Scientist you willidentify lead and conduct research in support of critical U.S. government needs.

The ideal candidate will have a strong background with hands-on experience solving problems in one or more of the following technology areas:

  • Applied Machine Learning and AI:Research and implement machine learning principles techniques and architectures on autonomous systems in varying domains (e.g. air sea land).

  • Assured Autonomy:Create tools and techniques for evaluating and explaining AI-enabled autonomous system performance.

  • Collaborative Autonomy:Study AI approaches to motion planning task planning mission planningand command and control to enable effective resilient and scalable teaming.

  • Counter-Autonomy:Investigate system development approaches and methods for mitigating vulnerabilities associated with the inclusion of machine learning in autonomous systems.

  • Modeling and Simulation:Use simulation to develop techniques for data-driven evaluation of real-worldlearning-basedautonomous systems.

Duties:

  • Hands-on Research:Lead novel research in applied machine learning and robotics.

  • Solution Development:Lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.

  • Collaboration:Activelyparticipatewith researchers developers engineers designers technical leads campus labs and our government customers to understand challenges needs and potential solutions.

  • Mentoring:Mentor and teach junior staff lead technical sessions and contribute to the establishment of technical norms for the Lab.

  • Intellectual Curiosity:Maintainawareness of the latest in AI-enabled autonomous systems especially as it pertains to National Security use cases.

  • Technical Communication: Develop and deliver compelling technical presentations for diverse audiences tailor content for varied stakeholders speak at conferences and workshops and publish in pertinent peer-reviewed journals.

Knowledge Skills and Abilities

  • A publishedtrack recordof conducting machine learning and robotics research and applying scientific methods

  • Experience leading research projects and collaborating across research teams and stakeholders

  • Strong written and verbal communication skills;demonstratedability to convey complex technical ideas to diverse audiences

  • Experience writing and delivering successful research proposals to funding agencies and leading the resulting projects

  • Experience with programming languages such as Python C/C and other pertinent languages and frameworks

  • Familiarity withstate of practiceemerging trends and opportunities in industry and government

  • Experience working with Department ofWarand Intelligence Community preferred

Requirements

  • BS in Robotics Computer Science Machine Learning Electrical Engineering or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in the same fields with five (5) years of experience.

  • You must be able and willing to work onsite at an SEI office in Pittsburgh PA or Arlington VA 5 days per week.

  • Eligible to obtain andmaintaina Department ofWarsecurity clearance.

  • Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Arlington sponsor sites conferences and offsite meetings.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical prescription dental and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits take well-deserved breaks with ample paid time off and observed holidays and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass access to our Family Concierge Team to help navigate childcare needs fitness center access and much more!

For a comprehensive overview of the benefits available explore our Benefits page.

At Carnegie Mellon we value the whole package when extending offers of employment. Beyond credentials we evaluate the role and responsibilities your valuable work experience and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; its about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization! Apply today!

Location

Arlington VA Pittsburgh PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff Regular

Full Time/Part time

Full time

Pay Basis

Salary

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Required Experience:

Senior IC

AsAI-enabled autonomous systemsgetcloser to widespread deployment fundamental research questionsremainaround their development and use especially in high-stakes environments. How can we guarantee systems respond appropriately in critical scenarios How can we employ collaborative autonomy to maximize...
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Carnegie Mellon University will have a transformative impact on society through continual innovation in education, research, creativity, and entrepreneurship. Our Mission To create a transformative educational experience for students focused on deep disciplinary knowledge, problem so ... View more

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