Autonomy and Data Fusion Engineer

The Pennsylvania State University; Ferguson Township (PA); On-site; USD 116,000 - 174,000; Full time

Benefits offered by this job

75% tuition discount

Job summary

The Pennsylvania State University is seeking an Autonomy and Data Fusion Engineer to join the Advanced Phenomenology Department of ARL. You will work in a collaborative Geospatial Image and Data Science Division on sensor deployment optimization and data-driven decision support.

Responsibilities include developing data architectures, fusion frameworks, and integrating ML with physics-based models, with research spanning from proof-of-concept to production.

Qualifications

• Bachelor's degree in Engineering or Science required with 5+ years of relevant experience.
• Experience in Python, C++, MATLAB, or Java and proficiency in one or more ML tools.
• Experience with spatio-temporal data fusion and related databases is required.
• Experience with DoD or intelligence community environments is preferred.

Responsibilities

• Research and test novel collection methods and strategies using networked assets; evaluate and optimize sensor deployment and autonomy.
• Assist research to develop sensing and estimation strategies for data-driven decision support.
• Utilize 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 changes.
• Design data fusion and estimation frameworks for heterogeneous sensor networks with uncertainty measures.
• Collaborate with geospatial imagery analysts and UxV operators to automate workflows and improve processes.
• Integrate machine learning algorithms with physics-based models for validation and verification.
• Apply scientific methods across disciplines to advance data and geospatial sciences via systematic experimentation.
• Engage in research from proof-of-concept to integrated production.

Skills

Python

C++

MATLAB

Java

Spatio-temporal data fusion

Database architectures

Machine learning applications

Education

Bachelor's Degree - Engineering or Science

Job description

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

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.

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

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 www.arl.psu.edu.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies. Notice regarding employment at the Applied Research Laboratory (ARL): Employees must be eligible to obtain a government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements applicable to federal contractors. ARL operates in a secure information environment involving Unclassified, Controlled Unclassified Information (CUI), and Classified information. Personal electronic devices brought onsite must be registered and may be restricted from certain areas. You must be a U.S. citizen to apply.

SALARY & BENEFITS

The salary range for this position, including all possible grades, is $115,860.00 - $173,844.00.

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.

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.

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