Hybrid 3D CFD Engineer - Electrified Propulsion Thermal

General Motors LLC; United States; Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work arrangement

Relocation benefits

Job summary

General Motors is seeking a propulsion CFD engineer to develop and optimize simulations for electrified propulsion components, including engines, transaxles, and batteries. You will work in small teams to advance multiphase and thermal analyses, influencing design decisions and reducing hardware testing.

The role emphasizes applying analytical insights to system-level improvements, benchmarking new tools, and developing automation scripts in Python or Java within a hybrid work environment at

Qualifications

• Bachelor of Science in Engineering required.
• 2+ years of experience with simulation, design, testing, or release of propulsion related systems.
• 2+ years of experience with CFD analysis of propulsion related systems.
• Familiarity with propulsion system design, operation, or testing.

Responsibilities

• Develop CFD simulations for electrified propulsion components.
• Collaborate in small teams on complex multiphase flow and thermal simulations.
• Apply capabilities to impact design, processes, and reduce hardware testing.
• Provide design recommendations based on analysis results to Design Responsible Engineers.
• Present analysis results to engineering peers and management.
• Contribute to problem resolution using analysis findings.
• Benchmark new procedures, technology, or software tools.
• Develop automation tools using Python or Java.

Skills

CFD analysis

Propulsion systems

Simulation

Python

Java

Linux

Education

Bachelor of Science in Engineering

Tools

STAR-CCM+

Simerics-MP+

CFD optimization tools

Siemens NX

Job description

General Motors is seeking a propulsion CFD engineer to develop and optimize simulations for electrified propulsion components, including engines, transaxles, and batteries. You will work in small teams to advance multiphase and thermal analyses, influencing design decisions and reducing hardware testing.

The role emphasizes applying analytical insights to system-level improvements, benchmarking new tools, and developing automation scripts in Python or Java within a hybrid work environment at