Intern - Microelectronics Architecture​/Hardware Energy Efficiency

Microelectronics Architecture/Hardware Energy Efficiency Internship

The summer internship will involve estimating energy used in computing across hardware systems, based on published data and research findings. Interns should have a background in physics, electrical or computer engineering, or computer science. This is part of a new DOE initiative on Energy Efficient Computing, offering opportunities at SLAC National Laboratory and Stanford University for graduate students.

• Identify the different architectures and hardware, including those used in machine learning and scientific computing.
• Identify the instruction sets relevant to each architecture.
• Outline the nature and quantity of data required for each hardware platform, in discussion with the mentor.
• Conduct data analysis to ascertain data quality and veracity, in partnership with the mentor.
• Develop models for estimating energy efficiencies for the problems in collaboration with the mentor.
• Carry out verification, validation, and critical analysis of the estimates.
• Refine and develop models to incorporate scientific knowledge into the model formulation and training phases.
• Prepare reports and scientific publications outlining the advances under the guidance of the mentor.

• Growth and mentorship from exceptionally talented engineers and scientists at SLAC and Stanford University.
• A mission‑driven, stable, collaborative, highly interdisciplinary, and supportive work environment.
• Experience a multidisciplinary research environment, integrating knowledge from computer engineering, physical sciences, applied mathematics, and software applications.

• Currently pursuing or recently completed a Master’s or Doctoral degree in a science or engineering discipline.
• Strong communication skills.
• Ability to work collaboratively in a team environment.
• Passionate about innovative solutions for science and engineering problems.
• Prior experience with Python programming is beneficial.

• The University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job.

The expected pay range for this position is $31.02 - $39.26 per hour.

Eligible applicants must be at least 18 years of age, currently enrolled in an educational program or recently graduated, and have US work authorization. The on‑site internship lasts eight weeks, between May and mid‑August, based on candidate availability.

• Temporary, hourly, non‑benefits eligible.
• Full‑time equivalent of 50% or more, not to exceed 980 hours over six consecutive months.
• Employment duration: 12 weeks.