About The Position

Conduct vibrational structural durability analysis on powertrain components. Conduct time-series (time-domain) and frequency-domain (PSD) road-load durability analyses, to predict stress and fatigue life on powertrain components. Develop, run, and post-process linear and nonlinear structural analyses. Efficiently manage and execute multiple CAE analyses simultaneously to meet aggressive timing. Collaborate with design and cross-functional teams to interpret results and propose design improvements. Contribute to the development of AI / machine learning models for durability prediction, surrogate modeling, or automation of CAE workflows. Continuously improve CAE efficiency through scripting, automation, and smart use of emerging tools. Established and active employee resource groups

Requirements

  • Bachelor's degree in mechanical, civil, or aerospace engineering required or a related field
  • 3+ Years - Automotive durability CAE experience.
  • 3+ Years Strong experience with vibrational durability analysis.
  • Proficiency with Abaqus and/or Nastran for structural and durability simulations.
  • Solid understanding of Time-series and frequency-domain road-load durability methods
  • Familiarity with AI tools and workflows (e.g., Python-based tools, ML frameworks, or CAE automation).
  • Ability to think beyond traditional CAE methods and explore data-driven solutions.
  • Smart, energetic, and proactive problem-solver.
  • Comfortable working in a fast-paced environment with changing priorities.
  • Able to run multiple analyses in parallel without losing quality or rigor.
  • Flexible, adaptable, and willing to learn new methods and tools quickly.
  • Strong ownership mindset with attention to both technical accuracy and delivery timing.

Nice To Haves

  • Master's degree in Mechanical Engineering or related field
  • Experience with scripting (Python preferred).
  • Exposure to fatigue tools (e.g., nCode or similar).

Responsibilities

  • Conduct vibrational structural durability analysis on powertrain components.
  • Conduct time-series (time-domain) and frequency-domain (PSD) road-load durability analyses, to predict stress and fatigue life on powertrain components.
  • Develop, run, and post-process linear and nonlinear structural analyses.
  • Efficiently manage and execute multiple CAE analyses simultaneously to meet aggressive timing.
  • Collaborate with design and cross-functional teams to interpret results and propose design improvements.
  • Contribute to the development of AI / machine learning models for durability prediction, surrogate modeling, or automation of CAE workflows.
  • Continuously improve CAE efficiency through scripting, automation, and smart use of emerging tools.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service