below marketmost similar roles pay hereabove market
This role pays less than
78%
of similar roles. Most pay
$144,025–$193,000
— the blue band above.
At the midpoint, this role pays about
$140k
versus about
$169k
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
1377 open roles
on FindRole.
Listed pay typically runs
$124,093–$150,385
across 1184 roles with salary data.
As a Senior Manufacturing Systems Engineer - OT Integration, you will join the Operations Technology team as a forward deployed engineer. You will embed directly with manufacturing users to understand workflows, define requirements, and build AI-native solutions. Your primary responsibility is owning the architecture and implementation of the industrial connectivity layer linking manufacturing equipment with business systems. You will define standards for OT-to-IT integration, ensuring connected-factory investments integrate with MES, IFS, CMMS, PLM, and enterprise data platforms. You will utilize technologies including OPC UA, MQTT, APIs, SQL, and edge gateways. You will also use Python, C#, and JavaScript to automate data pipelines. This role solves the complex problem of contextualizing and securing machine data across sites using ISA-95 modeling and Unified Namespace patterns.
Own the architecture and implementation of the industrial connectivity layer linking manufacturing equipment to business systems.
Define scalable OT-to-IT integration patterns using OPC UA, MQTT, APIs, SQL, and edge gateways.
Apply ISA-95 modeling to create consistent, contextualized machine and production data across sites.
Establish standards for machine connectivity, Unified Namespace patterns, data ownership, and lifecycle management.
Lead technical evaluations, pilot programs, and scale-out plans for the connected-factory initiative.
Build integration services, data pipelines, and APIs using Python, C#, JavaScript, or SQL to automate data collection.
Design segmented, secure OT environments in collaboration with IT and cybersecurity partners.
Translate pilot results into reusable enterprise standards for manufacturing data and system integration.
What we're looking for
U.S. citizenship is required.
Bachelor's degree in Manufacturing or Industrial Engineering, or a related Science, Engineering, or Mathematics field, plus 8 years of relevant experience.
Master's degree in a related field plus 6 years of relevant experience.
Bachelor's or Master's Degree in Electrical Engineering, Computer Engineering, Controls Engineering, Automation, Industrial Engineering, or Computer Science (preferred).
Hands-on experience with industrial automation and operational technology in a production manufacturing environment.
Experience integrating PLCs, HMIs, SCADA systems, historians, sensors, or industrial equipment with MES, ERP, cloud, or analytics platforms.
Working knowledge of OPC UA, MQTT, and one or more of Modbus, Profinet, EtherNet/IP, or similar industrial communication protocols.
Experience with industrial networking, OT cybersecurity, segmentation, and collaboration across IT and OT boundaries.
Proficiency with SQL and at least one programming or scripting language such as Python, C#, or JavaScript.
Demonstrated ability to own ambiguous, cross-functional projects and work directly with plant personnel and vendors.
Strong written and verbal communication skills to explain architecture and tradeoffs to non-technical stakeholders.
Experience with Ignition, Kepware, FactoryTalk, Siemens, Canary, or comparable SCADA and industrial data platforms (preferred).
Experience with Unified Namespace, edge computing, industrial data modeling, or cloud-connected manufacturing platforms (preferred).
Experience designing or integrating MES applications, manufacturing data platforms, or enterprise system interfaces (preferred).
Experience with Azure, Docker, Kubernetes, or cloud data pipelines (preferred).
Experience with AI coding assistants and AI-enabled manufacturing applications (preferred).
Experience with robotics, machine vision, AMRs, VLMs, or other automated manufacturing equipment (preferred).
Experience in defense, aerospace, high-mix manufacturing, or other regulated industrial environments (preferred).
Python
LLM APIs
RAG
API Integration
Git
JSON
VS Code
Jupyter Lab
Spotfire
Tableau
Power BI
Lean Manufacturing
Six Sigma
Root Cause Analysis
FMEA
SPC
APC
OEE
Data Mining
Statistical Analysis
AI
ML
Generative AI
Python
C#
.NET
SQL
PostgreSQL
Oracle
SCADA
OPC UA/DA
PLC
MES
Kepware
CI/CD
Infrastructure-as-Code
Linux
Windows Server
Tomcat
IIS
GitHub
JIRA
SonarQube
Artifactory
ServiceNow
Confluence
Cursor
PLC
Rockwell
Process Control
Automation Engineering
Field Instrumentation
21 CFR Part 11
GAMP
ASTM 2500
S88
S95
GMP
cGMP
IV/ACO
System Administration
Capital Project Lifecycle Management
Technical Writing
Electrical Systems Integration
CAN
Ethernet
RS422
RS232
MIL-STD-1553
CANalyzer
Oscilloscope
CAD
Signal Integrity
Power Integrity
Root Cause Analysis
DO-160
MIL-STD 461
UAS
DeltaV
PLC
SCADA
DCS
HMI
Rockwell Automation
Virtual Server
PI
OPC
Profibus
DeviceNet
21 CFR Part 11
ASTM 2500
S88
S95
GAMP
Process Control
System Integration
Commissioning & Qualification
Electronic Batch Reporting Systems