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Senior Autonomous Systems Research Scientist

Software Engineering Institute | Carnegie Mellon University
Posted 2 months ago, valid for 17 days
Location

Arlington, VA 22226, US

Salary

$62.5 - $75 per hour

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Contract type

Full Time

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Sonic Summary

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  • The AI for Autonomy Lab at SEI's AI Division is seeking a Senior Autonomous Systems Research Scientist to address critical research questions related to AI-enabled autonomous systems.
  • Candidates should have a strong background in applied machine learning, assured autonomy, collaborative autonomy, counter-autonomy, or modeling and simulation.
  • The position requires a BS with 10 years, MS with 8 years, or PhD with 5 years of relevant experience, and the salary is competitive based on qualifications.
  • Responsibilities include leading research, developing solutions, mentoring junior staff, and effective communication with diverse stakeholders.
  • The role is based in Arlington, VA or Pittsburgh, PA, and requires onsite work five days a week, with up to 25% travel.

AsĀ AI-enabled autonomous systemsĀ getĀ closer to widespread deployment, fundamental research questionsĀ remainĀ around 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 maximizeĀ missionĀ objectives? What is theĀ appropriate levelĀ of autonomy to enable a specific mission?Ā 

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The AI for Autonomy Lab within the SEI’s 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 autonomousĀ systems, andĀ helping our sponsors applyĀ AIĀ appropriately to increase system effectiveness without adding unacceptable risk.Ā 

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

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

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

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

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

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

  • Modeling and Simulation:Ā Use simulation to develop techniques for data-driven evaluation of real-worldĀ learning-basedĀ autonomous systems.Ā 

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Duties:  

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

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

  • Collaboration: ActivelyĀ participateĀ with researchers, developers, engineers, designers, technical leads, campus labs, and our government customers to understand challenges, needs, and potential solutions.Ā 

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

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

  • 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.Ā 

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Knowledge, Skills, and AbilitiesĀ 

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  • A publishedĀ track recordĀ of conducting machine learning and robotics research and applying scientific methodsĀ 

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

  • Strong written and verbal communication skills;Ā demonstratedĀ ability to convey complex technical ideas to diverse audiencesĀ 

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

  • Experience with programming languages such as Python, C/C++, and other pertinent languages and frameworksĀ 

  • Familiarity withĀ state of practice,Ā emerging trends and opportunities in industry and governmentĀ 

  • Experience working with Department ofĀ WarĀ and Intelligence Community preferredĀ 

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RequirementsĀ 

  • 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.Ā 
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  • 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 andĀ maintainĀ a Department ofĀ WarĀ security clearance.Ā 
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  • 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.Ā 

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Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full time/Part time

Full time

Pay Basis

Salary

More Information:Ā 

  • Please visit ā€œWhy Carnegie Mellonā€ to learn more about becoming part of an institution inspiring innovations that change the world.Ā 

  • Click here to view a listing of employee benefits

  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.Ā 

  • Statement of Assurance




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