Noise & Vibration CAE – Propulsion Mounting Integration Engineer

Job Description

The Role

The Propulsion Mounting Engineer Noise & Vibration (N&V) supports the virtual integration and development of propulsion and ACEC mounting systems with a focus on vehicle noise and vibration performance. This role contributes to simulation-based evaluations and design assessments at the component subsystem and vehicle levels to ensure N&V targets are achieved.

Working within the Vehicle Development Design and Validation (VDDV) environment the engineer will apply analytical methods and CAE tools to support design decisions learn enterprise-level development processes and collaborate closely with cross-functional teams. This position offers hands-on exposure to advanced simulation techniques virtual vehicle modeling and emerging AI/ML-enabled engineering workflows while building a strong foundation in propulsion mounting system design.

This is an excellent opportunity to develop deep technical expertise in propulsion mounting systems and vehicle N&V while working in a collaborative simulation-driven environment. The role provides clear pathways for growth into advanced technical system integration or technical leadership positions within vehicle development.

What Youll Do

• Guide the design and development of systems impacting N&V through simulation-based validation ensuring alignment with vehicle-level performance targets.

• Perform analytical simulations at the full vehicle subsystem and component levels using Mounting tools.

• Build debug and execute analytical models to predict N&V performance and generate actionable design recommendations.

• Develop technical solutions that meet N&V targets while optimizing for mass cost and packaging constraints.

• Collaborate with cross-functional teams to ensure holistic performance integration.

• Conduct design optimization and variation analysis using Design for Six Sigma (DFSS) and other methodologies.

• Support the development of advancement of analysis techniques simulation tools and procedures including solver parameters and material characterization.

• Stay current with competitive product trends through training and technical workshops.

• Contribute to Closed-Loop Learning (CLL) initiatives and actively participate in forums supporting Virtual Development and enterprise-wide performance integration.

• Engage in Global Product & Technical Focus Groups and other collaborative engineering communities.

• Understand and support the PS Mounting SSRV process attend PDT and PIT meetings as necessary to drive the component system and vehicle level design for propulsion and ACEC mounting.

• Engage with MBD and other teams to provide them with input from mounting simulation models and collaborate to deliver N&V VTS requirements.

Your Skills & Abilities (Required Qualifications)

• Bachelors degree in Mechanical Engineering Aerospace Engineering or a related engineering discipline.

• 2 years relevant experience

• Foundational knowledge of vibrations dynamics structures or related coursework.

• Exposure to CAE and simulation tools through coursework internships or co-op experience.

• Ability to work effectively within cross-functional teams.

• Strong analytical thinking problem-solving skills and attention to detail.

• Clear written and verbal communication skills with the ability to explain technical concepts.

What Will Give You A Competitive Edge (Preferred Qualifications)

• Masters degree in Engineering or related discipline.

• Internship co-op or project experience related to vehicle NVH vibrations or vehicle dynamics.

• Familiarity with GM-specific tools and processes (e.g. Teamcenter UG-NX GM VDDV toolchain).

• Understanding of how customer and vehicle-level requirements translate into engineering performance metrics.

• Knowledge of enterprise-level simulation integration and virtual development workflows.

• Experience developing scripts and automation tools (e.g. Python MATLAB VBA) to automate workflows data processing and reporting.

• Hands-on experience applying Machine Learning and AI techniques (e.g. surrogate modeling pattern recognition design space exploration predictive performance modeling) to engineering and CAE applications.

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