Applied Mechanics - Sr. Engineer
This entry-level Applied Mechanics Senior Engineer role at Confidential Client involves conducting numerical computations and simulations to evaluate structural performance of components and systems. The engineer will use advanced computational tools and engineering principles to validate designs, recommend improvements, and support product validation processes. The position emphasizes collaboration, problem solving, and continuous development within a technically complex environment, primarily on-site with some flexibility.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Engineering.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
This role supports design validation and structural analysis for mechanical components and systems. You will execute and improve established engineering processes, build and run computational models, analyze results (motion, loads, natural frequencies, stress, fatigue, sound power), and provide design recommendations to engineering and validation teams. Work includes automation of FEA workflows, use of in-house and third‑party tools, and collaboration across Design, Thermal, Materials and Product Validation groups.
Key Responsibilities
- Conduct numerical simulations and post-processing to evaluate structural performance.
- Execute and improve documented Engineering Standard Work (ESW) and Design Validation Plans (DVP&R).
- Develop and use computational tools and scripts to support design and validation decisions.
- Investigate product/system issues, determine root causes, and own resolution with guidance from senior engineers.
- Coordinate and direct technical work of technicians or temporary student staff when required.
- Document methods, results, and recommendations for internal stakeholders.
Competencies & Technical Skills
- Strong fundamentals in dynamics, vibration, statics, mechanics of materials, fatigue and durability.
- Experience with simulation and analysis workflows: FEA, modal/natural frequency analysis, rigid/flexible body motion.
- Statistical methods for engineering data analysis (regression, ANOVA, DOE, hypothesis testing).
- Familiarity with ANSYS (APDL), FE‑Safe, GT, AVL, or similar CAE tools.
- Programming/scripting in Python, MATLAB, APDL‑ANSYS, FORTRAN or C for automation and data processing.
- Comfortable with Windows/Linux environments and HPC/remote compute resources.
- Experience with CAD tools (e.g., Creo) and experimental data post-processing (Testlab, nCode) is advantageous.
- Ability to communicate results clearly to different audiences and contribute to cross-functional teams.
Preferred / Additional Skills
- Experience automating FEA and design optimization workflows.
- Applied use of AI/automation tools (e.g., Codex, Python automation) to speed simulation and optimization.
- Hands-on experience with test data post‑processing and correlating simulation to physical tests.
Education & Experience
- Bachelor’s degree in Engineering or other STEM field required; Master’s may be required for some roles.
- Entry level / early career: designed for external candidates within ~2 years of completing their highest degree.
- Preferred experience from internships, co‑ops, student employment, or early career technical roles.
Location & Eligibility
- Required Work Location: On-site with flexibility — Clifford, IN (authoritative listing).
- Position may include remote/telecommute elements; applicants should be eligible to work in the U.S.
- International students (F‑1) must have approved CPT or OPT authorization before the assignment begins.
- Relocation assistance: available (per client policy).
- Anticipated start date: June 2027.
Why This Role
- Early‑career role with broad exposure to simulation, testing, and product validation.
- Opportunity to develop FEA automation and optimization skills on real product programs.
- Work with cross‑functional teams and contribute measurable design improvements.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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