SLAC National Accelerator Laboratory
Menlo Park, CA
Intern - Microelectronics Architecture/Hardware Energy Efficiency
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Apply to Intern - Microelectronics Architecture/Hardware Energy Efficiency at SLAC National Accelerator LaboratoryJob details
- Location
- Menlo Park, CA
- Work type
- Onsite
- Posted
- 4 days ago
- Apply on
- careersearch.stanford.edu
About this role
SLAC National Accelerator Laboratory is offering a summer internship focused on Microelectronics Architecture and Hardware Energy Efficiency. The intern will estimate energy used in computing hardware systems and work on real-world problems, gaining valuable hands-on experience in the process.
What you'll do:
- Identify the different architectures and hardware including those used in machine learning, scientific computing etc
- Identify the instruction
- Outline the nature and quantity of data required for each of the hardware, in discussion with the mentor
- Conduct data analysis to ascertain the quality and verity of data, in partnership with the mentor
- Develop models for estimating energy efficiencies for the problems in working with the mentor
- Carry out Verification, Validation and critical analysis of their estimates
- Refine and develop models to integrate scientific knowledge in the model formulation and training phases
- Prepare reports and scientific publications outlining the advances under the aegis of the mentor
What they're looking for:
- Pursuing a Master's or Doctoral degree in a science, engineering or equivalent discipline
- Strong communication skills
- Ability to work in a collaborative environment
- Passionate about innovative solutions for Science & Engineering problems
- Eligible applicants must be at least 18 years of age, currently enrolled in an educational program or recently graduated, and have US work authorization
- Some prior experience at Python programming would be beneficial
Benefits:
- Growth and mentorship from exceptionally talented engineers and scientists from SLAC and Stanford University.
- A mission-driven, stable, collaborative, highly interdisciplinary, and supportive work environment.
- Opportunity to experience a multidisciplinary research environment, integrating knowledge from many subject areas spanning computer engineering, physical sciences, applied mathematics, and software applications.
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