Senior RF GaN Devices Engineer at HRL Laboratories

Malibu, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

SemiconductorsIndustries

Requirements

PhD in electrical engineering or related field with 5+ years of post-graduate experience in GaN HEMTs, spanning design, modeling, processing, and characterization
Practical and theoretical understanding of RF electronic devices
Experience with TCAD simulations in commercial packages
Understanding of device reliability
Deep understanding of device fabrication methods and their impact on device performance and yield
Proven track record of leading experimental electronic device research and development programs
Hands-on experience with writing, winning, and executing research projects
Authored scientific publications and given technical presentations
Ability to pursue difficult technical subjects independently, design experiments, analyze data, and provide solutions
Ability to produce technical presentations and reports and communicate effectively with colleagues and customers
Excellent written and verbal communication skills
BS, MS, or Ph.D. with experience in semiconductor physics, material science, or electrical engineering
Able to work within a semiconductor cleanroom environment
US Citizenship
Ability to obtain and maintain a security clearance

Responsibilities

Support to conceive, develop, and execute device research programs that push GaN and related materials into higher frequency, power, and efficiency ranges (e.g., newer materials like N-polar GaN and ultra-wide bandgap semiconductors, optimizing millimeter wave production technologies)
Design new epitaxial structures to be grown by MBE or MOCVD
Design new fabrication methods to be fabricated within onsite fab to improve device performance and yield
Develop devices for flip chip or 3DHI integration requirements
Review, summarize, and interpret RF measurement data, and create actionable learning for device or design improvements
Interface closely with internal and government customers to shape future device efforts
Work collaboratively within a team environment and mentor junior staff
Work with internal circuit designers and subsystem designers to understand device requirements to support next-generation electronic system and subsystem designs

Skills

GaN HEMTs

TCAD simulations

MBE

MOCVD

RF devices

device fabrication

device reliability

epitaxial structures

flip chip integration

3DHI integration

RF measurement

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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