Senior AI/ML GPU Computing Engineer - Harvard University

Minimum of seven years’ post-secondary education or relevant work experience (can be a combination of education and work experience). 

• This is a full-time position based in MA, with a hybrid schedule (combination of in-person / remote). Harvard University supports a hybrid workplace model which will actively support some remote work. Specific days and schedules for on-site work and remote work will be discussed during the interview process. Please note hybrid workers must reside in a state where Harvard is registered to do business (CA, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT, and WA).  
• Work is performed in an office setting primarily in Allston, MA.
• We are unable to provide visa sponsorships for these positions.
• This position has a 180 day orientation and review period.
• During the interview process, candidates will be notified of any additional exercises or presentations that may be required for this position. 

The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up to date on CDC-recommended vaccines.