Computational Scientist, Materials

Reposted 4 Days Ago
Be an Early Applicant
Malibu, CA
Hybrid
133K-166K
Expert/Leader
Computer Vision • Hardware • Machine Learning • Software • Semiconductor • Quantum Computing • Defense
Our technologies operate in space, on aircraft, in automobiles, and in a variety of consumer products.
The Role
Lead R&D initiatives in materials and digital manufacturing, innovate quality control methods, and utilize machine learning for engineering solutions.
Summary Generated by Built In
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 is a plus
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:
US citizenship and ability to obtain and maintain 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

Top Skills

Abaqus
C++
Comsol
Inventor
Keras
Moose
Python
PyTorch
Scikit-Learn
Solidworks
TensorFlow

What the Team is Saying

Sadaf
Ethan
Brian
Harut
Mak
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The Company
HQ: Malibu, CA
1,115 Employees
Year Founded: 1997

What We Do

HRL Laboratories, LLC, Malibu, California, (hrl.com) pioneers the next frontiers of physical and information science. Delivering transformative technologies in automotive, aerospace and defense, HRL advances the critical missions of its customers. As a private company owned jointly by Boeing and GM, HRL is a source of innovations that advance the state of the art in profound and far-reaching ways.

Why Work With Us

Our success is the result of our collaborative team of researchers, many of whom are the leading experts in their fields. Through their insights in support for our customers, we are finding the unique opportunities in technology.

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HRL Laboratories Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Hybrid Policy is role specific.

Typical time on-site: Flexible
HQMalibu, CA
Calabasas, CA
Camarillo, CA
Learn more

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