Autonomy & Data Fusion Engineer — On‑Site (State College)
Penn State University
Pennsylvania
On-site
USD 109,300 - 164,000
Full time
14 days+
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Benefits offered by this job
Health insurance
75% tuition discount for employees, spouses, and children
Comprehensive retirement plans
Job summary
Penn State University seeks an Autonomy and Data Fusion Engineer for its Applied Research Laboratory in State College, PA. The role involves researching novel collection methods and data-driven decision strategies. Candidates should have a Bachelor's in Engineering or Science, with at least 5 years of relevant experience in fields like Computer Science or Applied Mathematics. Proficiency in programming languages such as Python and C++ is essential, along with experience in machine learning. The salary range is competitive from $109,300 to $164,000, along with generous benefits including tuition discounts.
Qualifications
5+ years of experience in a field related to Computer Science, Applied Mathematics, Engineering, or Geospatial Sciences.
Experience working within DoD/IC Analysis or Operational environments is preferred.
An active government security clearance is preferred.
Responsibilities
Research and test novel collection methods using multiple networked assets.
Assist in developing sensing and estimation strategies for data-driven decision support.
Collaborate with analysts and algorithm developers to improve workflows.
Skills
Computer programming in Python, C++, MATLAB, Java
Experience with spatio-temporal data fusion
Applicable database architectures
Machine learning applications
Education
Bachelor's Degree in Engineering or Science
Job description
Penn State University seeks an Autonomy and Data Fusion Engineer for its Applied Research Laboratory in State College, PA. The role involves researching novel collection methods and data-driven decision strategies. Candidates should have a Bachelor's in Engineering or Science, with at least 5 years of relevant experience in fields like Computer Science or Applied Mathematics. Proficiency in programming languages such as Python and C++ is essential, along with experience in machine learning. The salary range is competitive from $109,300 to $164,000, along with generous benefits including tuition discounts.