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Hewlett Packard Enterprise

Research Associate Intern, Large-Scale Integrated Photonics Lab

Hewlett Packard Enterprise

. Conduct innovative research in integrated photonics, emerging electronics, and next-generation computing architectures .

Posted 11/12/2026internshipUnited StatesEntry Level💰 $90,002 - $193,752 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in integrated photonics, CMOS circuit design, and machine learning workflows for hardware optimization. Proficient in experimental characterization and collaborative research within multidisciplinary teams.

Highest-signal resume keywords
PhD In Electrical EngineeringIntegrated Photonics ExperienceCMOS Circuit DesignMachine Learning FrameworksExperimental Characterization Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
CMOS Circuit DesignMixed-Signal Circuit DesignFPGA DevelopmentASIC DevelopmentMachine Learning SystemsElectronic ModelingPhotonic ModelingDevice CharacterizationOptical CommunicationsData-Intensive Applications
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication Abilities
Tools & Technologies
CadenceSynopsysKeysight ADSMATLABPythonC/C++SystemVerilogVerilogVHDLPyTorch
Industry Keywords
PhotonicsEmerging ElectronicsNext-Generation ComputingIn-Memory ComputingAI Acceleration TechnologiesSemiconductor Device PhysicsLaboratory ExperimentationDevice CharacterizationCollaborative ResearchHardware Accelerators

Tech Stack

Tools & technologies
PythonPyTorchTensorflowC++

About the role

Key responsibilities & impact
  • Conduct innovative research in integrated photonics, emerging electronics, and next-generation computing architectures
  • Design, model, and evaluate photonic, electronic, and electro-optic devices and systems
  • Develop CMOS, mixed-signal, and hardware accelerator circuits for advanced computing applications
  • Participate in developing in-memory computing and AI acceleration technologies
  • Perform experimental characterization and testing of photonic and electronic devices
  • Develop software tools, simulation frameworks, and machine learning workflows to analyze and optimize hardware systems
  • Collaborate with multidisciplinary teams of researchers, engineers, and scientists
  • Present technical findings through reports, presentations, and publications

Requirements

What you’ll need
  • Currently pursuing a PhD degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, Photonics, Materials Science, or a related technical field
  • Experience in integrated photonics and silicon photonics, CMOS/analog/mixed-signal/RF circuit design, computer architecture and hardware design, FPGA/ASIC/accelerator development, in-memory computing, optical communications, semiconductor device physics, machine learning systems and AI hardware, or electronic/photonic modeling and simulation
  • Familiarity with Cadence, Synopsys, Keysight ADS, or similar EDA platforms
  • Experience with MATLAB, Python, C/C++, SystemVerilog, Verilog, VHDL, or related languages
  • Familiarity with machine learning frameworks such as PyTorch or TensorFlow
  • Experience with electronic and photonic test and measurement equipment
  • Strong analytical, problem-solving, and experimental skills
  • Excellent written and verbal communication abilities
  • Preferred: laboratory experimentation and device characterization experience
  • Preferred: experience in photonic integrated circuits, optical communications, or semiconductor fabrication
  • Preferred: experience developing hardware accelerators for AI, machine learning, or data-intensive applications
  • Preferred: demonstrated ability to work effectively in collaborative research environments

Benefits

Comp & perks
  • Comprehensive benefits supporting physical, financial, and emotional wellbeing
  • Personal and professional development programs
  • Mentorship from leading researchers
  • Opportunities to contribute to publications, patents, and technology demonstrations
  • Inclusive and accessible workplace
  • Disability accommodation during the application or interview process