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Intern - Microelectronics Algorithms, Software Scaling

Stanford University · Menlo Park, CA · 1 wk ago
Education$31.02/hrFull-time

About the role

The internship focuses on estimating the scaling of different algorithms and software used in Machine Learning and Scientific Applications. Interns will analyze large language models like ChatGPT, Gemini, and Llama, and research algorithms in terms of scalability and complexity for applications such as time series, sensing, and natural language processing.

Responsibilities

  • Identify different algorithms and software, including those ported to CPUs, GPUs, and Application Specific Integrated Circuits (ASICs).
  • Develop metrics for measuring algorithmic scaling and complexity.
  • Outline the nature and quantity of data required for each hardware platform, in consultation with the mentor.
  • Conduct data analysis to ensure the quality and validity of the data.
  • Develop models for estimating energy usage for the given problems, under the guidance of the mentor.
  • Carry out verification, validation, and critical analysis of the estimates.
  • Refined and developed models to integrate scientific knowledge into the model formulation and training phases.
  • Prepare reports and scientific publications outlining the advancements made under the mentor's supervision.

Requirements

Eligible candidates must have a background in physics, electrical or computer engineering, or computer science, and be pursuing a Master's or Doctoral degree. Strong communication skills, ability to work collaboratively, and passion for innovative solutions are also required. Prior experience with Python programming is beneficial.

Qualifications

Candidates should be at least 18 years old, currently enrolled in an educational program or recently graduated, and have US work authorization. They should also be able to pursue a thesis or other academic requirements during the internship.

Skills

Knowledge of machine learning, scientific applications, and software development is essential. Proficiency in Python is recommended.

Benefits

Growth and mentorship from experienced engineers and scientists at SLAC and Stanford University. A supportive, interdisciplinary work environment that fosters innovation and collaboration.

Pay and Schedule

The expected pay range for this position is $31.02 - $39.26 per hour. The internship lasts for 12 weeks, starting in May and ending mid-August, with the start date contingent on the candidate's availability.

Schedule

The internship is an hourly, non-benefits eligible temporary-nonexempt position, lasting up to 980 hours in six consecutive months.

Physical Requirements and Working Conditions

Consistent with the University's policies, employees must meet essential job requirements and demonstrate the ability to work well with colleagues and clients, promote a culture of safety, and adhere to environmental, security, and operational standards.

SLAC Employee Competencies

  • Effective Decisions: Uses job knowledge and sound judgment to make quality decisions in a timely manner.
  • Self-Development: Pursues a variety of venues and opportunities to continue learning and developing.
  • Dependability: Can be counted on to deliver results with a sense of personal responsibility for expected outcomes.
  • Initiative: Pursues work and interactions proactively with optimism, positive energy, and motivation to move things forward.
  • Adaptability: Flexes as needed when change occurs, maintains an open outlook while adjusting and accommodating changes.
  • Communication: Ensures effective information flow to various audiences and creates and delivers clear, appropriate written, spoken, and presented messages.
  • Relationships: Builds relationships to foster trust, collaboration, and a positive climate to achieve common goals.

Physical Requirements and Working Conditions

Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. Work Standards: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for environment, safety, and security; communicates related concerns; uses and promotes safe behaviors based on training and lessons learned.

Classification Title

SLAC Intern Students [Level II / III]

Job Code

0901

Employment Duration

12 weeks

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