Principal Build & Release Engineer

GE Aerospace

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Evendale, OHLynn, MAGrand Rapids, MI
Salary
$152,000–$202,000 / yr
Posted
12 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $195k
This role $177k
$132k most similar roles pay here $246k

This role pays less than 55% of similar roles. Most pay $172,987–$216,300 — the shaded band above. At the midpoint, this role pays about $177k versus about $195k for comparable roles.

Based on 240 similar postings.

Employer

About GE Aerospace

GE Aerospace (General Electric Aerospace) designs and produces commercial and military jet engines, components, and integrated systems for aircraft manufacturers and airlines worldwide. Industry: Aerospace & Aviation Engines

GE Aerospace currently has 37 open roles on FindRole.

Listed pay typically runs $130,000–$173,000 across 22 roles with salary data.

Most-posted roles

View all roles at GE Aerospace

At a glance

TL;DR · Principal Build & Release Engineer

Principal Build & Release Engineer The Principal Build & Release Engineer serves as a senior individual contributor responsible for the end-to-end build and productionization of AI-enabled engineering capabilities within an aero engine and propulsion organization. This role involves transforming reference architectures into robust, secure, and scalable production services featuring multimodal, agentic LLM solutions. The engineer will manage the full lifecycle including data pipelines, CI/CD, containerized deployment, and monitoring while ensuring compliance with ITAR and CMMC requirements. Key technical competencies include Python, systems languages like C++, Rust, or Go, and DevSecOps tools such as Docker, Kubernetes, and MLflow. The role addresses complex engineering problems in design, manufacturing, and sustainment by integrating AI with CFD, FEA, and PLM systems. Candidates must possess deep expertise in turbomachinery physics to ensure models remain physically credible within safety-critical aerospace environments.

What you'll do

  • Build and productionize multimodal, agentic LLM solutions for engine design, manufacturing, and sustainment workflows.
  • Architect and develop end-to-end services that integrate AI with CFD, FEA, and other engineering data systems.
  • Manage the full model delivery lifecycle including data pipelines, CI/CD, containerized deployment, and monitoring.
  • Ensure all AI solutions comply with strict data security and export control requirements like ITAR and CMMC.
  • Translate complex business challenges into technical roadmaps and recommend best practices for product improvement.
  • Advise leadership on technical investments regarding compute, model hosting, tooling, and build versus buy decisions.
  • Act as a technical authority to provide design reviews and mentorship to embedded engineering teams.
  • Transition delivered capabilities to program owners with full documentation and user training.

What we're looking for

  • Bachelor’s degree in Computer Science or a STEM major.
  • Minimum of 10 years of overall engineering experience.
  • Experience producing AI/ML systems and end-to-end service delivery.
  • Proficiency in Python and at least one systems language such as C++, Rust, Go, or Java.
  • Strong DevSecOps and MLOps capabilities including cloud platforms, Docker, Kubernetes, and CI/CD pipelines.
  • Ability to work within ITAR, export control, CMMC, and RMF/ATO requirements.
  • Must be a U.S. Person (Citizen, permanent resident, asylee, or refugee) and able to maintain a U.S. Government Security Clearance.
  • U.S Citizenship.

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