Intern- Intelligent Infrastructure Management and Performance Efficiency RD
Intern- Intelligent Infrastructure Management and Performance Efficiency RD
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Overview
Who we are
Objective:
The objective to research methods that would manage infrastructure resource properly leverage ML algorithms to increase performance efficiency or reduce carbonneutral footprint in the infrastructure in centralized or distributed manner. For example reduction in checkpointing and increase performance in DNN. Research I/O efficiency with respect to NN from data ingest to computation. Or increase network efficiency for Computer Visioning ML Training in Federated Learning platform.
Required Qualifications:
- Experience with machine learning optimization techniques timing analysis for realtime and/or distributed systems
- Currently pursuing PhD in Electrical Engineering or Computer Science in the area of edge computing machine learning Infrastructure Resource Management Sustainable Infrastructure and connected car related technologies
- Research and development experience of Edge Computing & Cloud Computing
- Experience with Computer Visioning e.g. ResNet SSD will be plus
- Handson prototyping (e.g. GPUs Storage PersistentMemory or Power/Temperature Control) and programming knowledge (e.g. MATLAB Python C/C etc.
- Familiarity with Microsoft Word Excel and PowerPoint
- Ability to engage in general research activities such as defining problems and issues to be addressed finding and using research data and being able to make recommendations and findings in writing and presentations
- Good planning time management decisionmaking and organizational skills and ability to manage several tasks at once
- Welldeveloped interpersonal and communication skills including ability to respond professionally in all types of situations maintain confidentiality and exercise tact and good judgment in an international work environment
- Must demonstrate a genuine interest in and willingness to work in the connected car research
Belonging at Toyota
Our success begins and ends with our people. We embrace diverse perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10 different Business Partnering Groups across 100 different North American chapter locations that support team members efforts to dream do and grow without questioning that they belong. As a company that has been one of DiversityIncs Top 50 Companies for Diversity and a member of The Billion Dollar Roundtable supporting minority and womanowned suppliers for over 10 years we are proud to be an equal opportunity employer that celebrates the diversity of the communities where we live and do business.
Applicants for our positions are considered without regard to race ethnicity national origin sex sexual orientation gender identity or expression age disability religion military or veteran status or any other characteristics protected by law.
Have a question or need assistance with your application Check out the How to Apply section of ourcareers page on Toyota or send an email to
Required Experience:
Intern
Employment Type
Full-Time
