Power and Performance Engineer

Ambiq Micro, Inc.Austin, TX
38dOnsite

About The Position

Are you curious about how to make technology faster and more efficient? As a Power & Performance Engineer, you’ll help test and improve the performance of computer chips. You’ll work with a team that designs the processors behind next-generation devices, learning how to balance speed and energy use while solving real-world problems.

Requirements

  • Recent degree in Electrical/Computer Engineering, Computer Science, or a related field.
  • Interest in low-power systems, processors, or embedded systems.
  • Experience with Python, C/C++, or other programming/scripting languages.
  • Basic knowledge of how computers work (CPU, memory, peripherals, power use).
  • Strong problem-solving and analytical skills.

Nice To Haves

  • Experience with lab tools like oscilloscopes or power analyzers.
  • Knowledge of operating systems, drivers, or firmware.
  • Coursework or projects in AI or machine learning.
  • Familiarity with Git or other version control systems.
  • Good communication skills and a curiosity to learn.

Responsibilities

  • Test and analyze how processors utilize power and perform at various stages, from initial concepts to final products.
  • Collaborate with hardware, software, and design teams to identify the factors that enable systems to run smoothly and efficiently.
  • Write scripts and tools (such as those in Python or C++) to accelerate testing and data analysis.
  • Run, debug, and improve tests on different types of hardware.
  • Utilize AI tools to simplify testing and reporting.
  • Compare our performance with that of our competitors to identify areas where we can stand out.
  • Share your results in clear, easy-to-read reports and presentations.

Benefits

  • Hands-on experience with real computer chips and test systems.
  • Mentorship from experienced engineers.
  • The chance to apply what you’ve learned in class to real-world problems.
  • An opportunity to join a team building the future of low-power computing.
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