This role pays less than
95%
of similar roles. Most pay
$157,000–$243,600
— the shaded band above.
At the midpoint, this role pays about
$82k
versus about
$200k
for comparable roles.
Based on 240 similar postings.
Employer
About General Dynamics
General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.
General Dynamics currently has
1123 open roles
on FindRole.
Listed pay typically runs
$124,093–$150,385
across 984 roles with salary data.
The Engineering Leadership Program Engineer (Class of 2027) is a specialized role within the GD Mission Systems team in Orlando. Participants in this program rotate across various cross-functional teams to support critical projects involving Intel/Electronic Warfare and Threat Systems, Live Training Systems, and Training Technologies. While completing these rotations, the engineer will pursue a technical Master's degree, undergo internal training, engage with the community, and build a professional network. The role requires a strong technical background, including skills in identifying opportunities to apply AI for continuous improvement and innovation. Candidates must possess core competencies such as effective time management, clear communication, team collaboration, and demonstrated leadership experience. This position focuses on developing practical solutions for national security within the defense and scientific arenas through research-oriented work and high-technology engineering.
Lean
Six Sigma
Manufacturing Engineering
Process Engineering
Quality Engineering
Root Cause Analysis
Capacity Planning
Process Validation
AI
Material Flow
Continuous Improvement
Manufacturing Engineering
Industrial Engineering
Mechanical Engineering
Lean
Six Sigma
Process Optimization
Root Cause Analysis
Capacity Planning
Process Validation
AI
Quality Engineering
Data Engineering
Spark
Flink
Kafka
Apache Iceberg
Snowflake
Machine Learning
AI
Data Pipelines
Data Architecture
Data Quality
Scalability
Software Engineering Best Practices