This role pays less than
65%
of similar roles. Most pay
$149,500–$190,562
— the shaded band above.
At the midpoint, this role pays about
$158k
versus about
$170k
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
1245 open roles
on FindRole.
Listed pay typically runs
$121,550–$150,385
across 1069 roles with salary data.
Sr Advanced Software Engineer (C++, Java) serves as a senior individual contributor within the engineering team, focusing on developing and integrating complex mission-critical software for U.S. Navy submarine and surface platforms. The role involves owning significant software components from architecture through deployment while solving difficult integration problems. Day-to-day responsibilities include designing and maintaining software using C++, Qt, Java, and Python, as well as developing distributed interfaces utilizing APIs, AMQP, gRPC, Protocol Buffers, and event-driven architectures. The candidate will work with Red Hat Enterprise Linux, Docker, Podman, Kubernetes, and Helm to support containerized environments. Technical requirements include expertise in multithreaded software, networking, and DevSecOps practices. This position addresses the technical challenges of building robust systems for tactical combat environments, requiring the integration of COTS, open-source, and custom-developed software components into high-stakes maritime platforms.
Java
C++
C
RHEL
Linux CLI
SQL
MySQL
PostgreSQL
JDBC
Spring
Jakarta EE
Tomcat
JBoss
Wildfly
RESTful Web Services
Git
Bitbucket
Bamboo
HTML
JavaScript
CSS
Angular
CMake
Make
GDB
Agile
C++
Python
Linux
Computer Vision
Machine Learning
Robotics
Systems Architecture
Algorithm Development
Data Mining
Causal Modeling
Autonomous Driving
Physical AI