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HRL Laboratories

Cognitive systems R&D for human-machine collaboration

Analog/Mixed Signal Design Engineer - Quantum

Hardware Validation & TestingUpdated on Nov 12
Full-timeMalibu, CA, USA$154.5k - $197.9k

About the Job

Requirements

  • A bachelor's, master's, or PhD in Electrical Engineering or a related field is required.
  • At least five years of experience in analog/mixed-signal verification, AMS modeling, and transistor-level analysis is required.
  • Strong proficiency with Verilog-A, Verilog-AMS, and real-number modeling techniques, including wreal and SV-RNM, is required.
  • Hands-on experience with Cadence Virtuoso, Spectre, Eldo, HSPICE, Cadence AMS Designer, Spectre AMS, and Xcelium is required.
  • Practical experience building SystemVerilog/UVM environments, preferably including UVM-AMS extensions, is required.
  • Strong command of assertion-based verification using SVA or PSL is required.
  • A solid understanding of analog/mixed-signal systems such as ADCs, DACs, PLLs, LDOs, SerDes, and PMIC architectures is required.
  • The ability to perform corner analysis, mismatch and Monte Carlo simulations, noise characterization, and behavioral model correlation is required.
  • Familiarity with DFT methodologies for AMS blocks and test-feature verification is required.
  • Experience in lab measurements, silicon debug, and correlating real hardware behavior with simulation is required.
  • Proficiency with Python, Perl, Tcl, or MATLAB for automation, data processing, and regression management is required.
  • Experience with Git, CI pipelines such as Jenkins, and multidisciplinary engineering teams is required.
  • Strong communication skills, problem-solving ability, and ownership of verification quality from block level through tape-out and silicon validation are required.
  • U.S. Person status is required.
  • Sufficient mobility to work within confined spaces and visual and hearing acuity are required.

Responsibilities

  • Develop and execute analog and mixed-signal verification strategies for complex IC designs, including ADCs, DACs, PLLs, LDOs, SerDes, and power-management blocks.
  • Build and maintain behavioral models using Verilog-A, Verilog-AMS, and real-number modeling techniques such as wreal and SV-RNM, ensuring accurate abstraction and alignment with transistor-level implementations.
  • Perform Spice-level and transistor-level simulations using HSPICE, Spectre, Eldo, and Cadence Virtuoso to validate block-level and top-level functionality.
  • Create and enhance UVM-AMS and SystemVerilog-based verification environments, including testbench development, stimulus generation, assertion-based verification using SVA or PSL, and coverage-driven methodology.
  • Develop regression infrastructure and verification dashboards, ensuring thorough functional and analog coverage collection across corners and modes.
  • Conduct corner-case analysis, Monte Carlo simulations, noise and mismatch analysis, PVT sweeps, and model correlation to ensure design robustness.
  • Integrate and verify AMS blocks at the top level using Cadence AMS Designer, Spectre AMS, and Xcelium.
  • Support DFT strategies for analog/mixed-signal circuitry, including verification of built-in test features and coverage metrics.
  • Collaborate with design, modeling, and digital verification teams to align behavioral models with final silicon behavior.
  • Participate in silicon bring-up, lab debug, and measurement validation; correlate results with simulation data and refine models as needed.
  • Develop scripts and automation tools using Python, Perl, Tcl, and MATLAB to improve simulation efficiency, regression stability, waveform post-processing, and debugging workflows.
  • Maintain version control and continuous integration practices using Git, Jenkins, and related infrastructure.

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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