Lead root-cause investigations for complex or field-reported acoustic issues, coordinating across simulation and test teams.
Perform advanced trade-off and optimization studies (topology, materials, damping/absorption treatments, structural modifications).
Own and evolve simulation best practices, templates, automation scripts, and internal tools
Present findings, risk assessments, and recommendations directly to Model-Based Engineering team leaders and project teams.
Evaluate and pilot new simulation tools, methods, or vendor technologies to keep capabilities current.
Support supplier/vendor technical reviews when acoustic simulation data is involved.
Drive and coordinate acoustic test methods to include sound pressure, sound power, transmission loss, and muffler performance tests.
Drive and coordinate sound source localization test methods to include holography, transfer path analysis (TPA), and 2D/3D sound field visualization.
Required Qualifications
Bachelor's degree in Mechanical Engineering, Acoustics, Aerospace Engineering, or related field (Master's or PhD preferred).
7+ years of experience in acoustic/vibro-acoustic simulation, with a track record of leading simulation work on complex systems
Deep expertise in FEA, BEM, SEA, and/or hybrid simulation methods
Advanced proficiency with industry simulation tools (SimCenter 3D, Actran, Wave6, Va One, Ansys, or similar tools)
Strong proficiency of acoustics fundamentals: modal analysis, transmission loss, structural-acoustic coupling, enclosure design, acoustic materials and sound reduction mechanisms.
Demonstrated success correlating simulation to test data on both interior and exterior acoustic problems.
Strong scripting/automation skills (Python, MATLAB, or similar) for model setup, batch processing, and post-processing pipelines
Excellent communication skills — able to translate technical results for non-specialist stakeholders and leadership
Experience mentoring or technically leading other engineers
Preferred Qualifications
Experience with psychoacoustics and sound quality metrics.
Background in aeroacoustics / CFD-Acoustic coupled noise simulation.
Experience with machine learning or surrogate modeling techniques applied to acoustic optimization
Familiarity with statistical energy analysis (SEA) for high-frequency content
Industry-specific experience (automotive NVH, aerospace cabin/engine noise, consumer electronics, industrial machinery, architectural acoustics)
Publications, patents, or conference presentations in acoustics/vibro-acoustics.
Daikin is the world's industry leader in air conditioning with sales over 27 billion dollars, comprised of over 300 companies around the globe. Its cutting edge air conditioning products and services using environment friendly technologies are widely distributed and marketed in more than 170 countries, from residential A/C to commercial A/C market. As its global headquareter, Daikin Industries, Ltd. is continually leading air conditioning history with its business strategies & technological breakthrough in the area of environment friendly air comfort solutions. In challenging the needs of the future with new innovations using AI/IoT technologies, Daikin will continue its commitment to growth of the business and contribution to the society.
