Autonomy & Data Fusion Engineer - Geospatial Sensing

The Applied Research Laboratory at Penn State University; University Park (TX); Presencial; USD 109.300 - 164.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, and vision coverage

Retirement plans

Paid time off (holidays, vacation, sick time)

75% tuition discount for employees and eligible family members

Descripción de la vacante

The Applied Research Laboratory at Penn State University is seeking an Autonomy and Data Fusion Engineer for its Advanced Phenomenology Department. This role encompasses research and development of innovative data fusion methods using various sensor technologies. Applicants should possess a Bachelor’s degree in Engineering or Science along with programming skills in Python, C++, MATLAB, or Java. The position offers a salary range of $109,300 to $164,000 and a comprehensive benefits package, including health coverage and tuition discounts.

Formación

• 5+ years of relevant experience in field related to Computer Science, Applied Mathematics, Engineering, or Geospatial Sciences.
• Experience with spatio-temporal data fusion and machine learning applications.

Responsabilidades

• Research and test novel collection methods and strategies using multiple networked assets.
• Assist in developing novel sensing and estimation strategies for data-driven decision support.
• Develop data architectures and pipelines for testing and evaluation.
• Design data fusion and estimation frameworks using heterogeneous sensor configurations.
• Collaborate with geospatial imagery analysts and data scientists.

Conocimientos

Python

C++

MATLAB

Java

Spatio-temporal data fusion

Machine learning

Database architectures

Educación

Bachelor’s Degree in Engineering or Science

Descripción del empleo

The Applied Research Laboratory at Penn State University is seeking an Autonomy and Data Fusion Engineer for its Advanced Phenomenology Department. This role encompasses research and development of innovative data fusion methods using various sensor technologies. Applicants should possess a Bachelor’s degree in Engineering or Science along with programming skills in Python, C++, MATLAB, or Java. The position offers a salary range of $109,300 to $164,000 and a comprehensive benefits package, including health coverage and tuition discounts.