Engineering Manager - FEA Lead
Listed on 2026-06-23
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Engineering
Mechanical Engineer, Systems Engineer
Position Overview
As an Engineering Manager - Finite Element Analysis (FEA Lead) you will lead a high-performing team of analysis engineers supporting the design and development of conventional marine internal combustion engines, drive systems, electrified propulsion and vessels. The ideal candidate must bring a blend of deep FEA expertise, strong people‑leadership skills, and a passion for elevating engineering analysis capabilities across the organization.
You'll coach engineers through challenging analysis problems, guide long‑term technical vision, and partner closely with cross‑functional design, test, and manufacturing teams to influence product architecture and ensure robust engineering decisions.
- Provide both technical leadership and team leadership with active execution, requiring ~60% of their time performing hands‑on analysis and ~40% on team leadership/management.
- Serve as primary technical expert in FEA and CAE, guiding complex simulations involving non‑linear material behavior, fatigue, dynamics, impact and multi‑physics interactions. Develop and validate advanced analysis methodologies that support engine, drive system, and structural component development.
- Mentor junior, mid‑level and senior analysts, providing coaching/guidance on modeling approaches, simulation setup, scripting, correlation techniques, and interpretation of results.
- Manage and balance the workload for a group of 4–6 analysts, ensuring high‑quality deliverables and on‑time execution.
- Coordinate work packages between onsite and offshore teams, inclusive of managing project timelines, ensuring clear communication between teams, and maintaining high standards of quality and consistency in deliverables.
- Collaborate with design, test, and manufacturing teams to support design decisions, DFMEA inputs, and program milestones.
- Work closely with design and development engineers to help provide design input and perform trade‑off studies that will improve the product, inclusive of evaluating different design options and assessing their impact on performance, weight, cost, and recommending the best solutions.
- Document analysis findings and share the results with stakeholders, engineering partners, and leaders. This includes preparing detailed reports, presenting findings in meetings, and providing actionable recommendations based on analysis results.
- Identify potential areas for new method development and work with experts to test and deploy.
- Continuously seek opportunities for improving analysis processes, tools, and methodologies.
- Bachelors degree in Mechanical Engineering or related field.
- 10+ years of experience in Computer Aided Engineering (CAE).
- 3+ years of experience in leading/managing a group of engineers performing Finite Element Analysis (FEA) using Abaqus, Ansys, or similar commercial software.
- Strong fundamental understanding of statics, dynamics, engineering mechanics and materials.
- Exposure to numerical methods and engineering analysis.
- MS or PhD in Mechanical Engineering with emphasis in solid mechanics, vibrations, dynamics, finite element method, mechanics of materials, fatigue theory, IC engines and e‑Machines.
- Experience in the following areas: FEA using Abaqus, Dynamic FEA (modal analysis & forced response), Explicit Dynamic FEA (impact), Multi Body Dynamics Analysis using MSC Adams, Non‑linear stress analysis (material, contact, large deflection), FEA based fatigue analysis (feSafe/CAE Fatigue experience preferred), Mesh generation and model set‑up (Altair Sim Lab/Hyper Mesh and/or Abaqus/CAE).
- Usage of High‑Performance Computing (HPC) cluster with Linux OS and Slurm scheduler.
- Working knowledge of conventional engines and marine propulsion systems.
- Knowledge of test instrumentation (strain gauges, accelerometers, thermocouples, pressure transducers, flow meters, etc.).
The anticipated pay range for this position is $103,200 - $164,500 annually. The actual base pay offered will vary depending on multiple factors including job‑related knowledge/skills, relevant experience, business needs, and geographic location. In addition to…
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