Senior Systems Engineer – CAE AIML Integration & Implementation joins an engineering-focused IT organization responsible for platforms and data ecosystems powering virtual engineering and simulation capabilities. This role focuses on implementing, integrating, and operationalizing AI/Machine Learning solutions for the CAE engineering community by transforming proofs of concept into robust, production-ready tools. You will install and configure commercial and custom AIML tools within HPC environments, Azure cloud platforms, and data lakes while managing system requirements, architecture diagrams, and regression testing. Key responsibilities include developing integration pipelines, ensuring security compliance, and creating technical documentation for engineering users. Required skills include experience with CAE solvers, Python scripting, CI/CD tools, and containerized GPU resources. The role addresses the challenge of integrating advanced AI models into complex simulation workflows to accelerate development cycles and improve product quality within a high-performance computing environment.
What does a Systems Engineer earn?
Median $158250 from 186 postings across 30 companies.
Systems Engineering
Python
MATLAB
robotic s
Distributed Systems
IP-Based Networks
Simulation
Rapid Prototyping
Aerospace Engineering
Electrical Engineering
System Architecture
Python
MATLAB
Systems Engineering
robotic s
Distributed Systems
IP-Based Networks
Simulation
Rapid Prototyping
Aerospace Engineering
Electrical Engineering
System Architecture
Systems Engineering
Integration & Test
Configuration Management
Rust
Python
C
MATLAB
R
SQL
Linux
Command Line Interface
JAMA
Design-Build-Test (DBT)
Requirements Management
Robotics
Autonomous Systems