Computational Scientist, Materials & Digital Manufacturing at HRL Laboratories

Malibu, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Aerospace, Defense, AutomotiveIndustries

Requirements

Deep understanding of materials science and at least one relevant manufacturing process (metal additive manufacturing, composites manufacturing, laser welding, casting, stamping)
Experience with non-destructive 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
Ph.D. in Materials, Mechanical Engineering, Chemical Engineering, Aerospace Engineering or related discipline
Capable of performing extended analysis at computer workstations
Able to work safely in a mechanical testing and additive manufacturing laboratory
U.S. citizenship and the ability to obtain and maintain a US Government security clearance
Experience with CAD (e.g., SolidWorks, Inventor) and FEA (e.g., ABAQUS, COMSOL, MOOSE) is a plus

Responsibilities

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

Skills

Python

C++

Scikit-Learn

PyTorch

Keras

TensorFlow

SolidWorks

Inventor

ABAQUS

COMSOL

MOOSE

ICME

Ultrasonic Testing

Eddy-Current

X-ray Computed Tomography

HRL Laboratories

Develops cognitive systems for human-machine collaboration

About HRL Laboratories

HRL Laboratories focuses on research and development of advanced cognitive systems and human-machine collaboration, enhancing human cognitive abilities through artificial intelligence (AI) and machine learning (ML). The company develops solutions like the ICArUS project, which improves machine interpretation of information, and the MEMES project, aimed at enhancing human memory. HRL operates on a project-based model, serving clients in defense and high-tech sectors by delivering customized solutions and licensing technologies. The goal is to lead in creating cognitive systems that improve the interaction between humans and machines.

Malibu, CaliforniaHeadquarters

1997Year Founded

$1.9MTotal Funding

GRANTCompany Stage

AI & Machine Learning, DefenseIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Company Match

Gym Membership

Paid Vacation

Risks

Competition in quantum technologies could challenge HRL's market position.

Rapid AI advancements by competitors may outpace HRL's cognitive systems projects.

Reliance on government contracts poses risks if funding priorities change.

Differentiation

HRL Laboratories excels in cognitive systems enhancing human-machine collaboration.

The company is a leader in AI-driven defense projects and autonomous systems.

HRL's MEMES project focuses on advanced memory enhancement technologies.

Upsides

Growing interest in neuromorphic computing aligns with HRL's cognitive systems focus.

Increased funding for AI-driven defense projects benefits HRL's autonomous systems work.

Energy-efficient data center trends support HRL's cooling system innovations.

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