AI/ML Software Engineer P2 (Onsite)

RTX
United States
Workplace: OnsiteFull timeUSD 68,900 - 131,100 annuallyFunction: Software EngineeringExperience: 2+ yearsEducation: bachelorsSkills: ["Technical communication","Collaboration"]

Develop and apply novel ML frameworks and methodologies for designing and evaluating turbine components within Hot Section Engineering. Build, test, deploy, and monitor ML models supporting physics-based simulations, fleet analytics, and component design. Communicate technical insights to customers and leadership, and collaborate with other RTX AI/ML teams to strengthen corporate initiatives and infrastructure.

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FursaFursa
RTX
RTX
1 month ago

AI/ML Software Engineer P2 (Onsite)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 days agoStatus: Live

Job Summary

Develop and apply novel ML frameworks and methodologies for designing and evaluating turbine components within Hot Section Engineering. Build, test, deploy, and monitor ML models supporting physics-based simulations, fleet analytics, and component design. Communicate technical insights to customers and leadership, and collaborate with other RTX AI/ML teams to strengthen corporate initiatives and infrastructure.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop and apply novel ML frameworks and methodologies for turbine component design and evaluation.
  • •Design, build, test, deploy, and monitor ML models for physics-based simulations, fleet analytics, and component design.
  • •Communicate technical solutions and insights to customers and organization leadership.
  • •Collaborate across RTX AI/ML teams to strengthen corporate AI/ML initiatives and infrastructure.

Pay and Benefits

Salary: USD 68,900 - 131,100 annually
Perks:Health InsuranceDentalVisionLife Insurance401kLong-term DisabilityParental LeavePaid LeaveHolidaysRelocation

Key Requirements

  • •Bachelor’s degree in Science, Technology, Engineering or Mathematics (STEM).
  • •2+ years of engineering experience, or an advanced degree with 1+ years of experience.
  • •Knowledge of state-of-the-art ML architectures, techniques, and algorithms, including experience with major deep learning frameworks (PyTorch, Tensorflow, JAX).
  • •Experience applying machine learning to real-world problems involving scientific and engineering simulations (e.g., structural, CFD, thermal).
  • •Strong Python programming skills and SQL proficiency.
Experience:2+ years
Education:Bachelor's in STEM
Skills:Technical communicationCollaboration
Tech Stack:PythonSQLPyTorchTensorflowJAX

Eligibility

Nationality:US National

Company Brief

RTX
Designs, manufactures, and services aerospace and defense systems, including aircraft engines, avionics, aerostructures, missiles, and cybersecurity solutions for commercial, military, and government customers worldwide.
Industry: Aerospace Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Arlington, United States
Founded: 2020
Website