Cloud Hardware Engineer Intern (Firmware/Systems)

Amazon Inc.

Omaha (NE)

Hybrid

USD 110,000 - 140,000

Full time

15 hours ago
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Job summary

Amazon's Annapurna Labs seeks an hardware-focused engineering intern to assist with design, bring-up, and validation of scalable hardware systems. You will work on firmware interfaces, debug HW/SW issues, and contribute to tests that validate performance and reliability across compute platforms.

Ideal candidates are pursuing Electrical/Computer Engineering or Computer Science degrees with strong logic design and HDL familiarity, and are ready to collaborate across ASIC, systems, and software

Qualifications

  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or Computer Science with May 2027 or earlier graduation.
  • Coursework or project experience in digital logic design and computer architecture.
  • Familiarity with hardware description languages (Verilog/SystemVerilog/VHDL).
  • Understanding of fundamental digital design concepts: combinational and sequential logic, timing, and clocking.

Responsibilities

  • Supporting design, bring-up, and validation of hardware systems and subsystems.
  • Developing firmware or low-level software that interfaces with hardware.
  • Debugging hardware-software integration issues in the lab with test equipment.
  • Writing and running tests to validate hardware functionality, performance, and reliability.
  • Collaborating with ASIC, systems, and software teams from design to deployment.
  • Documenting work and presenting findings to the team.

Skills

Digital logic
Computer architecture
Verilog/SystemVerilog/VHDL

Education

Electrical/Computer Engineering or Computer Science

Tools

Oscilloscopes
Logic analyzers
Protocol analyzers

Job description

Amazon's Annapurna Labs seeks an hardware-focused engineering intern to assist with design, bring-up, and validation of scalable hardware systems. You will work on firmware interfaces, debug HW/SW issues, and contribute to tests that validate performance and reliability across compute platforms.

Ideal candidates are pursuing Electrical/Computer Engineering or Computer Science degrees with strong logic design and HDL familiarity, and are ready to collaborate across ASIC, systems, and software

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