Research and Development Engineer

Prattwhitney; Tanauan; On-site; PHP 535,680 - 669,600; Full time

Job summary

Prattwhitney is seeking a motivated Research Engineer to join its Advanced Manufacturing team in Tanauan, Batangas, Philippines. This role focuses on Robotics and Additive Manufacturing, requiring strong technical skills and a foundational understanding of materials science.

The ideal candidate will work on next-generation solutions, developing and optimizing robotic systems, supporting additive manufacturing processes, and collaborating across engineering disciplines to scale lab concepts into production-ready systems.

Qualifications

• Degree in a relevant field such as Mechanical Engineering or Robotics.
• Hands-on experience with additive manufacturing systems.
• Strong foundation in robotics and automation.

Responsibilities

• Develop and optimize robotic systems for automated manufacturing workflows.
• Support design of additive manufacturing processes.
• Integrate robotics into additive manufacturing systems.

Skills

Robotics

Automation

Additive Manufacturing

Programming (Python, C++)

Problem-solving

Communication

Education

Degree in Mechanical Engineering, Mechatronics, or closely related field

Tools

CAD (CATIA, NX, Fusion 360)

Additive Manufacturing Systems (Desktop FDM)

Simulation tools (ANSYS, Abaqus)

Job description

Position Summary

We are seeking a motivated Research Engineer to join our Advanced Manufacturing team with a focus on Robotics and Additive Manufacturing (AM). This role is ideal for an engineer with strong technical skills in automation and digital manufacturing, who also brings a foundational understanding of materials science to support process development and material‑technology alignment. You’ll work on next‑generation manufacturing solutions involving robotic integration, 3D printing, and smart production systems across multiple application areas.

Key Responsibilities

• Develop and optimize robotic systems for automated and autonomous manufacturing workflows.
• Support the design and implementation of additive manufacturing processes for both prototyping and functional parts.
• Integrate robotics into AM systems for tasks such as material handling, inspection, and post‑processing.
• Develop control algorithms and automation scripts using tools such as ROS, Python, or PLC programming environments.
• Troubleshoot and improve existing manufacturing setups, emphasizing repeatability, precision, and throughput.

Materials Engineering (Secondary Focus)

• Apply basic materials knowledge to support selection and qualification of polymers, metals, and composites for AM applications.
• Interpret material property data and failure modes to recommend design and process changes.
• Collaborate with materials engineer to understand interactions between processing parameters and material behavior.

General Responsibilities

• Contribute to experimental design, data collection, and analysis of manufacturing process performance.
• Work collaboratively across engineering disciplines to scale lab concepts into robust production‑ready systems.
• Document processes, findings, and results in technical reports and presentations.
• Stay up to date with advancements in robotics, additive manufacturing, and smart materials.
• Operate and maintain laboratory and workshop equipment, including 3D printers, robotic arms, and automation rigs.
• Perform testing and characterization of materials, components, and assemblies.
• Document test procedures, analyze results, and prepare reports with recommendations.

Required Qualifications

• A degree in Mechanical Engineering, Mechatronics, Robotics, Manufacturing Engineering, or a closely related field.
• Strong foundation in robotics, automation, or controls engineering.
• Hands‑on experience with additive manufacturing systems (Desktop FDM).
• Familiarity with basic materials science principles and their relevance to manufacturing processes.
• Knowledgeable in CAD (e.g., CATIA, NX, Fusion 360) and programming/scripting languages (e.g., Python, C++).
• Strong problem‑solving abilities and communication skills.
• Eagerness to learn and adapt to new technologies.
• Ability to collaborate with other team members.

Preferred Qualifications

• Knowledge of AM post‑processing techniques and quality inspection methods.
• Exposure to material testing techniques or design‑for‑AM principles.
• Familiarity with simulation tools (e.g., ANSYS, Abaqus, or robotic path simulation).

Equal Employment Opportunity Statement

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.