Sensors And Analytics Lead P4 (Hybrid)

Key Skills

Agile methodologies, AWS, Azure, Java Programming, Kubernetes-K8s, Machine learning techniques, Python Programming, Sensor fusion Algorithms, Signal processing, SPARK Programming

Job Description

The Sensors and Analytics technical lead role will be responsible for maintaining and improving the F135 engine’s prognostic sensor capabilities to enable condition-based maintenance and inspections, and to ensure data integrity and availability for the DPHM discipline. They work with the immediate team to develop data products, analytics and detection algorithms that measure and predict the health of various F135 subsystems. In this role, the Sensor and Analytics lead will collaborate with engineering teams to develop next generation data analytics and algorithms for military applications.

The position is based at the P&W East Hartford facility and is a hybrid role.

Key Responsibilities:

• Deploying algorithms to customer facing systems to enable condition-based engine maintenance and improve fleet health.
• Continuously monitor and evaluate the F135 sensing suite to ensure optimized performance.
• Propose, coordinate, and execute hardware improvement and sensing capability enhancement activities.
• Controls software improvements and development for health monitoring functions and algorithms.
• Integrating external or new datasets into existing data pipelines.
• Analytics development with data scientists and data analysts using statistical analysis, physics-based models, and artificial intelligence efforts.
• This role will give you exposure to a wide variety of engineering challenges. You will be involved in a critical role for Pratt & Whitney’s military engine programs.

Basic Qualifications:

• Bachelor’s degree in Science, Technology, Engineering or Mathematics (STEM)
•  8+ years of engineering experience, or An Advanced Degree with 5+ years’ experience.
• U.S. Person or eligible to obtain necessary export authorizations required.

Preferred Qualifications:

• Familiarity with modern data analysis and signal processing techniques.
• Demonstrated capability in applying advanced analytics to real-world sensor data, including machine learning methods and life prediction / time-to-event estimation.
• Experience in hardware/software risk reduction and capability validation efforts
• Experience in coordinating multiple organizations to deliver on schedule and on budget.
• Knowledge of and exposure to aerospace control and diagnostic systems.
• Proficiency with Python, Java, Kubernetes, Apache Spark, and Agile
• Knowledge of Cloud Computing tools and methods, particularly AWS and/or Azure.
• Security Clearance is preferred; willing to obtain and maintain.

What is my role type?

In addition to transforming the future of flight, we are also transforming how and where we work. We’ve introduced role types to help you understand how you will operate in our blended work environment. This role is:

Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. This means that responsibilities of the job need to be performed onsite on a regular basis.

Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility.