Today
Secret
Unspecified
Unspecified
Engineering - Chemical
Malibu, CA (On-Site/Office)
Essential Duties:
Support and lead cutting-edge R&D initiatives pushing the frontiers of materials, structures and manufacturing approaches for aerospace, defense and automotive applications
Innovate digital manufacturing approaches to automate quality control for a range of processes including metal additive manufacturing, composite manufacturing and laser welding
Plan and execute analytical and computational analysis and modeling
Plan, coordinate, and execute experiments and test campaigns
Generate ideas for new research programs and write research proposals
Document inventions and support the patent process
Communicate with other team members, management, and project sponsors via oral presentations and written reports
Interact with the broader community by attending and presenting at conferences and publishing in journals
Required Skills:
Deep understanding of materials science and at least one relevant manufacturing process (metal additive manufacturing, composites manufacturing, laser welding, casting, stamping)
Experience with non-destructing evaluation/inspection techniques such as ultrasonic, eddy-current, X-ray computed tomography and related testing methods
Experience using machine learning libraries such as Scikit-Learn, PyTorch, Keras, and TensorFlow to solve engineering and materials science problems
Demonstrated expertise in integrated computational materials engineering (ICME) and process - structure - properties relationships
Proficiency in programming languages like Python or C++ for data analysis and integration with simulation workflows
Experience planning, conducting, and analyzing experiments
Experience in scientific communication through technical presentations and journal publications
Experience with CAD (e.g., SolidWorks, Inventor) and FEA (e.g., ABAQUS, COMSOL, MOOSE) is a plus
Required Education:
Ph.D. in Materials, Mechanical Engineering, Chemical Engineering, Aerospace Engineering or related discipline. Candidates with additional experience may be considered for more advanced positions.
Physical Requirements:
Must be capable of performing extended analysis at computer workstations
Must be able to work safely in a mechanical testing and additive manufacturing laboratory
Special Requirements:
U.S. citizenship. The ability to obtain and maintain a US Government security clearance.
Keywords: Materials processing, computational and experimental, verification and validation of models
Compensation:
The base salary range for this full-time position is $132,765 - $165,983 + bonus + benefits.
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range during the hiring process. Please note that the compensation details listed reflect the base salary only, and do not include potential bonus or benefits.
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
Keywords:
Materials Research and Development, Digital Manufacturing, Additive Manufacturing, Machine Learning, Artificial Intelligence, Materials Informatics
Support and lead cutting-edge R&D initiatives pushing the frontiers of materials, structures and manufacturing approaches for aerospace, defense and automotive applications
Innovate digital manufacturing approaches to automate quality control for a range of processes including metal additive manufacturing, composite manufacturing and laser welding
Plan and execute analytical and computational analysis and modeling
Plan, coordinate, and execute experiments and test campaigns
Generate ideas for new research programs and write research proposals
Document inventions and support the patent process
Communicate with other team members, management, and project sponsors via oral presentations and written reports
Interact with the broader community by attending and presenting at conferences and publishing in journals
Required Skills:
Deep understanding of materials science and at least one relevant manufacturing process (metal additive manufacturing, composites manufacturing, laser welding, casting, stamping)
Experience with non-destructing evaluation/inspection techniques such as ultrasonic, eddy-current, X-ray computed tomography and related testing methods
Experience using machine learning libraries such as Scikit-Learn, PyTorch, Keras, and TensorFlow to solve engineering and materials science problems
Demonstrated expertise in integrated computational materials engineering (ICME) and process - structure - properties relationships
Proficiency in programming languages like Python or C++ for data analysis and integration with simulation workflows
Experience planning, conducting, and analyzing experiments
Experience in scientific communication through technical presentations and journal publications
Experience with CAD (e.g., SolidWorks, Inventor) and FEA (e.g., ABAQUS, COMSOL, MOOSE) is a plus
Required Education:
Ph.D. in Materials, Mechanical Engineering, Chemical Engineering, Aerospace Engineering or related discipline. Candidates with additional experience may be considered for more advanced positions.
Physical Requirements:
Must be capable of performing extended analysis at computer workstations
Must be able to work safely in a mechanical testing and additive manufacturing laboratory
Special Requirements:
U.S. citizenship. The ability to obtain and maintain a US Government security clearance.
Keywords: Materials processing, computational and experimental, verification and validation of models
Compensation:
The base salary range for this full-time position is $132,765 - $165,983 + bonus + benefits.
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range during the hiring process. Please note that the compensation details listed reflect the base salary only, and do not include potential bonus or benefits.
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
Keywords:
Materials Research and Development, Digital Manufacturing, Additive Manufacturing, Machine Learning, Artificial Intelligence, Materials Informatics
group id: 90860153
