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Form of workAmazon Web Services (AWS) internships are full-time (40 hours/week) for 12 consecutive weeks during summer. By applying to this position, your application will be considered for all locations we hire for in the United States.
In Annapurna Labs we are at the forefront of hardware co-design not just in Amazon Web Services (AWS) but across the industry. The work we do is cutting-edge and internet-scale while also being deeply important to our customers. We design and build every component of our hardware and software to come together into products that our customers use for accelerated computing: either Machine Learning acceleration, or FPGA acceleration. We get our hands dirty, from creating our own silicon, pushing the electrons in the right direction, ensuring our hardware is functional and healthy, and managing the full lifecycle of our systems at the huge scale and complexity of AWS. If you're interested in "building a complete product" from inception to delighted customers, Annapurna is a fantastic choice.
As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of Software and Hardware in our data centers including technologies such as AWS Inferentia, which is a machine learning inference accelerator designed to deliver high performance at low cost.
If this sounds exciting to you - come build the future with us!
Key job responsibilities
Perform Physical Design for Amazon's machine learning custom silicon solutions
Participate in various aspects of Physical Design: full chip floorplanning, circuit analysis, power/clock distribution, timing optimization, place and route, power integrity analysis, and physical verification
Write Tcl or PERL scripts to improve Physical Design flows and methods
Collaborate with RTL, DFT designers to ensure high quality design implementation
We are open to hiring candidates to work out of one of the following locations:
Austin, TX, USA | Cupertino, CA, USA
