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HRL Laboratories

Cognitive systems R&D for human-machine collaboration

Semiconductor Device Modeling Engineer

Hardware EngineeringConfirmed live in the last 24 hours
Full-timeMalibu, CA, USA

About the Job

Requirements

  • A Ph.D. in Electrical Engineering, Applied Physics, or a related discipline is required.
  • Experience with commercial semiconductor technology computer-aided design tools, such as Sentaurus Device and Process, and general-purpose multiphysics simulation software, such as COMSOL.
  • Strong fundamental understanding of silicon complementary metal-oxide-semiconductor nodes and transistors.
  • Expertise in fundamental theory and computational modeling of the electronic, optical, thermal, and magnetic properties of semiconductor materials and devices.
  • Experience with commercial multiphysics simulation software.
  • Ability to collaborate and communicate effectively with team members, present ideas and results in technical presentations, and contribute to written research reports.
  • Ability to spend extended periods of time at a computer monitor.
  • Ability to work in a fast-paced environment with other team members.
  • Strong problem-solving skills.
  • U.S. citizenship is required.
  • Ability to obtain and maintain a U.S. Government security clearance.

Responsibilities

  • Model state-of-the-art electronic technologies, including FinFETs and gate-all-around transistors, using commercial and proprietary device simulation tools.
  • Design and analyze classical and quantum nanodevices, including semiconductor spin qubits.
  • Investigate semiclassical and quantum transport, electrostatic integrity, and device responses to stressors such as heat and strain to predict and optimize performance and interpret experimental data.

Desired Qualifications

  • Familiarity with semiconductor material systems beyond silicon, including III-V, wide bandgap, or ultra-wide bandgap semiconductors.
  • Experience developing and applying semiclassical and quantum transport techniques for semiconductor devices, such as the Boltzmann transport equation and non-equilibrium Green’s functions.
  • Background in collaborative code development using multiple computer languages, including C++ and Python.
  • Applied knowledge of numerical analysis and scientific computing techniques, including high-performance computing platforms.
  • Detailed understanding of semiconductor fabrication and characterization techniques, such as epitaxial growth, lithography, electrical characterization, optical spectroscopy, or microscopy.
  • Strong understanding of semiconductor process flow, layout, and basic circuit design and simulation.
  • Experience in device design for extreme environments, such as cryogenic, radiation, or high-temperature conditions.
  • Excellent written and verbal communication skills.

About the Company

HRL Laboratories

Cognitive systems R&D for human-machine collaboration

HRL Laboratories conducts research and development in cognitive systems and human–machine collaboration for defense and high-tech clients. It creates AI/ML-powered cognitive architectures and interfaces that help machines understand sensemaking and assist human memory, enabling more autonomous and scalable decision-making systems. Its solutions are built through project-based work for government agencies, defense contractors, and private sector partners, often involving patented technologies and collaborations with academia. The company differentiates itself with a focus on integrated cognitive architectures, memory enhancement techniques, and neurosynchrony, applying these to real-world applications in government and industry. Its goal is to improve how humans and machines interact to enhance cognitive performance and decision quality across complex, high-stakes environments.

Company size
501-1,000
Company stage
Grant
Total funding
$2M
Headquarters
Malibu, CA
Founded
1997

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