Computer Engineer

Penn State University • University Park, IL

2d • $76,700 - $164,000 • Onsite

About The Position

We are seeking highly motivated Computer Engineers to join our Access and Evaluation (A&E) Department within the Multimodal Sensing and Systems (MSS) Division of the Applied Research Laboratory (ARL) at Penn State. As part of the MSS Division, you will support our mission by focusing on nascent technologies in the areas of electromagnetics, electromagnetic maneuver warfare, quantum sciences, and sensors through cross-division and cross-office collaborations. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.

Requirements

• Python
• Linux, including familiarity with bash and shell scripts
• Cloud architectures

Nice To Haves

• Additional computer programing languages such as Java, or C/C++
• Development of software within DoD development environment
• Development or evaluation of AI/ML models
• A degree in computer science, statistics, mathematics, or applied mathematics
• Current eligibility for access to classified information at the Secret or Top Secret level or higher and may be subject to a government background investigation to upgrade clearance eligibility, if required

Responsibilities

• Develop software and approaches for full-stack development, including low-level code, working directly with hardware, developing cloud solutions, data engineering for information storage and retrieval, and development of front-end tools for use by data analysts
• Conduct data analysis, incorporating multiple data modalities and formats and exploratory data analysis for testing hypothesis
• Implement, test, and evaluate services to compare models competing to solve the same problem; support test and evaluation of software and models
• Develop and implement data analytics techniques and applications to transform raw data into meaningful information using data-oriented programming languages and visualization software
• Develop and apply algorithms and prototypes to extract and analyze information from large structured and unstructured datasets that support analytics objectives
• Visualize, interpret, and report data findings in dynamic data reports

Benefits

• Comprehensive medical, dental, and vision coverage
• Robust retirement plans
• Substantial paid time off which includes holidays, vacation and sick time
• 75% tuition discount, available to employees as well as eligible spouses and children

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level