AI/ML Software Engineer P2 (Onsite)

Date Posted: 2026-07-20 Country: United States of America Location: US-CT-EAST HARTFORD-OBG ~ 400 Main St ~ BLDG OBG Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status

: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. Security Clearance Type: None/Not Required Security Clearance Status: Not Required At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense. What Will You Do • Work with the AI/ML team to develop and apply novel machine learning frameworks and methodologies supporting the design and evaluation of turbine components for the Hot Section Engineering organization. • Communicate technical solutions and insights to internal/external customers and organization leadership. • Design, build, test, deploy, and monitor machine learning models for physics-based simulations, fleet analytics, and component design. • Collaborate across RTX AI/ML teams to strengthen the corporate level AI/ML initiatives and infrastructure.

You Must Have • Bachelor’s degree in Science, Technology, Engineering or Mathematics (STEM). • 2+ years of engineering experience or an advanced degree with 1+ years of experience.

We Prefer • Familiarity with high-performance distributed computing. • Knowledge of state-of-the-art architecture, machine learning techniques, and algorithms with experience developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, JAX). • Experience with solving and using machine learning for real world problems involving scientific & engineering simulations (e.g., structural, CFD, thermal). • Strong Python programming skills and SQL proficiency