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 Requirements:

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. 

Qualifications 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.

Qualifications 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 

What We Offer:

• Benefits
• Relocation Assistance

Learn More & Apply Now!

Hot Section Engineering (HSE)

Hot Section Engineering is responsible for the design, development, technology maturation and in service support of all diffuser cases, combustors, turbines (vanes, blades, rotors and cases), augmenters (military), nozzles and associated fuel systems for all military, commercial and industrial engine models and radial auxiliary power units.

Technical disciplines in HSE include Project Engineering, Mechanical Design, Structural Analysis, Durability and Product Definition.

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:

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance workers, as they are essential to the development of our engines.

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.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) m