Mechanical Analysis Engineer with Machine Learning

Job descriptionCandidates must be US citizens or US permanent residents as required by Department of Defense requirements for this position.Job DescriptionMetroLaser, Inc. is a leading R & D company globally recognized for its expertise in laser-based measurement and diagnostic technologies for industrial, military, and space applications. Since its inception in 1988, MetroLaser has been at the forefront of state-of-the-art research and development as well as the commercialization of optical diagnostic systems to measure flow velocity, temperature, material composition, surface temperature, and non-destructive inspection of components and additively manufactured (3D printed) parts. The core business of MetroLaser is in the defense sector, NASA and Department of Energy and as a commercial provider of high-speed flow and combustion diagnostics, and non-destructive evaluation of materials and 3D printed parts.We have an exciting opening for a Mechanical Analysis Engineer with Machine Learning at our facility in Laguna Hills, CA 92653. The new appointee will apply and constantly improve his experience and skills in analysis of additively manufactured parts both experimentally and theoretically, using modeling and simulation, finite element analysis (FEA), ML/AI methods, and vibrational resonance spectroscopy to characterize the status of parts based on their vibrational spectra. Particular emphasis will be on the use of ML/AI and neural networks for streamlining the analytical procedures for material characterization. The successful candidate will use his expertise and skill-set to use MetroLaser developed laser-based diagnostic technology and will work with moderate supervision on existing programs to help develop new techniques and instrumentation. The appointee is expected to prioritize time to stay on schedule, be proactive in documenting the results and findings, and in communicating them to the scientific staff. He/she is expected to work as a part of a team and may also lead efforts with other engineers and technicians.Responsibilities· Use solid modeling, finite element analysis and multi-physics modeling to simulate and understand material behavior, changes in material properties and structural mechanics· Employ optical diagnostics, vibrational analysis and signal processing for mechanical properties and material characterization· Employ machine learning/artificial intelligence (ML/AI) and neural networks to refine physics-based models for mechanical properties and material characterization· Design and build experimental setups for material testing· Perform data analysis using advanced algorithms and multivariate models· Develop timelines and resources to implement solutions for the project execution· Document findings/results and analyses for reporting· Prepare technical presentations for internal use, conferences and customersQualifications· Ph.D. in Mechanical Engineering, Materials Science/Engineering, Civil Engineering, Aerospace Engineering or equivalent, with 1 or more years of work experience after the PhD degree.· Experience in solid modeling, mathematical models, Finite Element Analysis (FEA), and multi-physics simulations· Highly proficient in MATLAB, SOLIDWORKS, and LABVIEW· Experience with application of diagnostics, especially optical-based, for material characterization· An excellent understanding of signal processing, and data analysis· Highly-motivated and a self-starter with ability to quickly absorb new concepts and subsequent application within prescribed timelines and resources· Strong communication and inter-personal skills, and the ability to work in a team towards a larger company objectiveMetroLaser, Inc. offers highly competitive compensation and fringe benefit package that includes retirement plan, matching contributions; health, dental and vision benefits; generous paid time-offs; sick leave and a highly stimulating intellectual work environment. MetroLaser is an equal opportunity employer. Candidates must be US citizens or US permanent residents as required by Department of Defense requirements for this position. Please email your application package (cover letter and resume) to jobs@.

Created: 2024-11-09