Autonomy and Data Fusion Engineer

APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday. If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants . Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . ​ POSITION SPECIFICS ​ We are searching for an Autonomy and Data Fusion Engineer to join the Advanced Phenomenology Department of the Applied Research Laboratory (ARL) at Penn State. As part of our Geospatial Image and Data Science Division, this highly collaborative team is comprised of adaptable, curious, creative, lateral thinkers with both traditional and non-traditional backgrounds and multidisciplinary points-of-view. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply. You will: Research and test novel collection methods and strategies using multiple networked assets, evaluate and optimize sensor deployment and autonomy in sea, ground, air and space environments Assist our research efforts to develop novel sensing and estimation strategies that facilitate data-driven decision support. Utilizing state-of-the-art tools in machine perception, autonomy, and data fusion Develop data architectures and pipelines for test and evaluation, document findings and recommend system modifications Design data fusion and estimation frameworks using heterogenous sensor network configurations, while establishing uncertainty measures Collaborate with geospatial imagery analysts and/or UxV operators to understand and automate workflows and improve human processes to advance the discovery and modeling of associations, trends, patterns and system dynamics Collaborate with computer vision algorithm developers and data scientists to integrate machine learning algorithms, and incorporate physics-based and mathematical models where appropriate for validation and verification Apply scientific methods and best practices across multiple disciplines to advance data and geospatial sciences and develop data analytics through systematic experimentation Engage in research efforts ranging from proof-of-concept through integrated production Required skills/experience areas include: Experience in a field directly applicable or highly related to Computer Science, Applied Mathematics, Engineering, or Geospatial Sciences Computer programming in one or more of the following: Python, C++, MATLAB, Java Experience with spatio-temporal data fusion, applicable database architectures and machine learning applications Preferred skills/experience areas include: Experience working within DoD/IC Analysis or Operational environments An active government security clearance Master’s degree Your work location will be fully on-site located in State College, PA. Questions related to flexible work should be directed to the hiring manager during the interview process. MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS Bachelor's Degree - Engineering or Science 5+ years of relevant experience Required Certifications: None ARL’s purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC). FOR FURTHER INFORMATION on ARL, visit our website at . BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance with University policies. All positions at ARL require candidates to possess the ability to obtain a government security clearance; you will be notified during the interview process if this position is subject to a government background investigation. You must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen. SALARY & BENEFITS The salary range for this position, including all possible grades, is $109,300.00 - $164,000.00.**THE PROPOSED SALARY RANGE MAY BE IMPACTED BY GEOGRAPHIC DIFFERENTIAL** Salary Structure - Information on Penn State's salary structure Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page . CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here . EEO IS THE LAW Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473. Federal Contractors Labor Law Poster PA State Labor Law Poster Penn State Policies Copyright Information Hotlines