Senior, VLSI / SOC Engineer

About the Employer

Magic Leap is seeking a Senior Electrical Engineer with experience working in an advanced technology team, office of CTO, or Research team, developing new technologies in SOC, opto-electrical, display, sensing for product design to join our team developing next-generation technology for mixed-reality devices in an Agile Hardware Environment.


  • Experience with research and development of new technologies from concept to productization
  • Rapid prototyping
  • System and component specification definition
  • Developing hardware blocks in RTL (Verilog/SystemVerilog) in accordance with specifications set forth by architecture team and aid in verification of designed blocks
  • Simulation, modeling, design and test project development
  • Design, implementation and firmware
  • Troubleshooting board issues and implementing tests at system level
  • Aid software engineers in debugging Post Silicon designs
  • Generating test plan for validating ASIC designs for different process variations and temperatures
  • Knowledgeable in power management and implementing low power systems
  • Must work well with interdisciplinary groups
  • Experienced writing firmware in C/C++, Python and scripting languages


  • 5+ years of relevant experience
  • Familiar with writing and running SystemVerilog simulations
  • Familiar with running Synthesis and LEC tools like Genus and Conformal
  • Solid understanding of Digital and Analog Design
  • Ability to collaborate and communicate with all other internal & external parties
  • Proficiency in data analysis and tools such as MATLAB, Python, or equivalent.
  • Knowledge of C++ and Verilog/SystemVerilog.
  • IBIS signal integrity simulation PSPICE simulation
  • High speed memory and processor design
  • Power Management design, battery life optimization
  • Experience with High speed interfaces USBC, PCIe, DisplayPort
  • JTAG Debug experience
  • FPGA design experience optional
  • Vector processing and DSP processor experience
  • GPU optimization experience


  • BS in Electrical Engineering or related field (Computer Engineering or other) is required. MS or PhD is preferred

Additional Information

  • All your information will be kept confidential according to Equal Employment Opportunities guidelines.