access to physical therapy for poor, rural Nepali children who are at the highest risk for permanent disability due to serious burn injuries. We are 4 graduate students from the schools of medicine and business seeking an engineer to join the team this summer to develop the Hand Hero from our current working prototype into a fully functional medical device, ready for field testing in Nepal by the end of the summer.
You will be working with us at the Social Entrepreneurship Lab at the Stanford GSB. Mechanical Engineers, Bioengineers, and Product Designers preferred, with experience building things and working in the Product Realization Lab. 20-40 hours per week commitment, mid June to mid August. Stipend available for full-timers (40 hrs/wk) with potential for travel. To apply, send your resume and a description of the coolest thing you’ve ever made to xyz X@.
prepare them well for graduate schools or advanced research positions in many disciplines. Priorities will be given to graduating seniors in Physics, Engineering Physics, Applied Physics, Electrical Engineering, Mechanical Engineering, Aeronautics/Astronautics, or other engineering programs who can commit 6 – 18 months, starting immediately.
Please contact Professor Kuo ( profiles. stanford. edu/chao-lin-kuo? tab=publications ) for details (email: ).
scholarship application process also allows us to build one of the most valuable financial services databases in the US, with numerous opportunities to monetize. We have a live beta operating in three high schools in the Bay Area. We are looking for an Engineering Fellow to work with and learn from our CTO.
S/he needs to meet the following requirements: >2 years experience in web development CSS3, HTML5, and Java Script experience for cross-browser application Experience with at least one client-side view framework such as React, Backbone or Angular (we use React) A deep understanding of user experience development e. g. transitions, animation, and interactive behavior Attention
to detail Experience with responsive design techniques for mobile-friendly applications Team player Startup experience is a big plus You’ll be working with a team led by a proven engineer and a Stanford MBA student.
This is an opportunity to directly contribute to and shape the way Going Merry helps students access financial support and to receive mentorship and support. If you’re ready for mission-driven startup life, please send your resume to xyz X@ and xyz X@.
application - Experience with at least one client-side view framework such as Backbone or Angular (we use React) - A deep understanding of user experience development e. g. transitions, animation, and interactive behavior - Attention to detail - Experience with responsive design techniques for mobile-friendly applications - Team player You’ll be working with a team led by an MBA student and a 10 year silicon valley engineer (previously was 10th engineer at a now public company) on the Venrock Entrepreneur in Residence Program.
Please contact with your resume if you are interested.
a product development position with the end goal being high-quality, high-performance, secure product SW that makes the latest cutting-edge HW shine. You will start optimization pre-silicon and have access to HW shortly after it is first powered on. Product innovation and publication is encouraged and there are some opportunities to collaborate with research partners to develop ideas and translate them into the product.
The Machine Learning Performance (MLP) division is at the leading edge of the AI revolution at Intel, covering the full stack from applied ML to ML / DL and data analytics frameworks, to Intel one API AI libraries, and CPU/GPU HW/SW co-design for AI acceleration. It is
an organization with a strong technical atmosphere, innovation, friendly team-work spirit, and engineers with diverse backgrounds. The Deep Learning Frameworks and Libraries (DLFL) department is responsible for optimizing leading DL frameworks on Intel platforms.
Our goal is to lead in Deep Learning performance for both the CPU and GPU. We work closely with other Intel business units and industrial partners. You will work on software development and optimizations in the following areas: Analyze Deep Learning models and framework implementations to identify performance bottlenecks and optimization opportunities. Accelerate the frameworks, such as Py Torch, on Intel platforms by contributing
optimizations and features directly to the public framework source or to pluggable open source extension modules.
These frameworks are primarily written in C++ and Python. Develop low-precision high-performance versions of popular models to take advantage of new instructions and architectures designed to accelerate Deep Learning. An ideal candidate would exhibit behavioral traits that indicate ability to work in a dynamic and team-oriented environment Ability to work closely with teammates at multiple US sites as well as with closely related teams in other countries working virtually together on the same product Positive can-do attitude, desire to deliver results and winning products Excellent written and oral communication skills You should have a passion for optimization and performance at the low level, close the HW, as well as for good SW engineering practice and usability.
Qualifications The requirements listed would be obtained through a combination of industry-relevant job experience, internship experiences, and schoolwork, classes, or research. You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications: Active student pursuing a master's degree or Ph D in Computer Science, Data Analytics, or a related technical field 1+ year of Experience in C/C++/Python Preferred Qualifications: Research or publications or coursework related to Deep Learning Previous internship experience in the field of AI Experience with Tensor Flow / Py Torch Inside this Business Group The Machine Learning Performance (MLP) division is at the leading edge of the AI revolution at Intel, covering the full stack from applied ML to ML / DL and data analytics frameworks, to Intel one API AI libraries, and CPU/GPU HW/SW co-design for AI acceleration.
It is an organization with a strong technical atmosphere, innovation, friendly team-work spirit, and engineers with diverse backgrounds. The Deep Learning Frameworks and Libraries (DLFL) department is responsible for optimizing leading DL frameworks on Intel platforms. We also develop the popular one API Deep Neural Network Library (one DNN), and new one DNN Graph library. Our goal is to lead in Deep Learning performance for both the CPU and GPU. We work closely with other Intel business units and industrial partners.
Other Locations US, OR, Hillsboro; US, WA, Seattle; US, AZ, Phoenix; US, GA, Atlanta Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, interaction, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, interactionual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry.
It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in US, Washington, California: $63,000.00-$166,000.00Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.
Requisition #: JR0253048pca3lyuhf
background since a lot of the language will revolve around engineering specifications. We are willing to pay per hour of your time and are open to your price range. Even if the meeting doesn't run for two hours, we will compensate you for those two hours of your time. Email me at sparab22[at symbol]stanford[dot]eduif you are interested!
Backbone or Angular - A deep understanding of user experience development e. g. transitions, animation, and interactive behavior - Attention to detail - Experience with responsive design techniques for mobile-friendly applications - Team player You’ll be working with a team led by an MBA student and a 10 year silicon valley engineer (previously was 10th engineer at a now public company) on the Venrock Entrepreneur in Residence Program.
Please contact with your resume if you are interested.
