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2023 ASIC Intern - Howard Practicum, Annapurna Labs
Amazon.comUnited Statesfull_timeVerifiedPosted 20 Mar 2023
About the role
Note: The majority of our roles are based in Austin, TX, however your application might be considered for all locations we hire in the United States.
Do you want to innovate across the entire stack, from hardware design to logic verification, from firmware to application, from compiler to ML framework integration?
Join us for this co-op opportunity where you will work part time during the summer months while enrolled in the Howard University/AWS Practicum.
A day in the life
Your project could include, but not limited to working with one of the following groups:
• Design verification: This team is responsible for different aspects of verification (simulation, emulation & formal) at unit-level, SoC or full system. We are also responsible for making sure the DV flows are working smoothly. This role would develop SV/UVM components or use C/C++ to develop tests for our next generation ML product.
• RTL design: This team is responsible for developing RTL designs for next generation ML products. The team delivers high quality design netlist and timing constraints to Physical design team and works closely with verification and SW team to ensure that the design intent matches with chip architecture specification. The RTL code is developed using Verilog.
• Emulator: This team is responsible to enable users to run emulation workloads to verify chip features. This involves emulation hardware setup, emulation testbench development, sw/tool integration, debug support, automation and working with vendors.
• Physical Design: This team will work closely with RTL designers to drive physical implementation including synthesis, P&R, clocking, timing closure, power optimization and physical verification for the next generation of Machine learning datacenter accelerators.
• Hardware Design: This team is responsible for the architecture of future Machine Learning accelerator cards and servers. We develop and test new hardware that eventually will be deployed in AWS data centers.
About the team
Annapurna is the custom silicon innovation engine inside AWS and Annapurna builds durable advantage for AWS through hardware acceleration, from computer networking, ARM-based microprocessor, to machine-learning accelerator. Annapurna builds custom chips silicon including our own Arm-based CPU (Graviton), Networking & Security (Nitro), and Machine Learning (Inferentia, Trainium), associated application software (Enhanced Networking, Neuron compiler), and all associated board-level hardware that is integrated into AWS servers and Infrastructure. Annapurna technology is used in every new server deployed in AWS since 2016, and enables customers to increase performance and cost year over year as they develop new technology to keep pace with customer feature velocity.
Mentorship & Career Growth
Our team is dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Projects and tasks are assigned in a way that leverages your strengths and helps you further develop your skillset.
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
Work/Life Harmony
Our team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility and encourage you to find your own balance between your work and personal lives.
• Pursuing a Bachelor's Degree or higher in Computer Engineering, Electrical Engineering, Computer Science, or related degree from Howard University
• Have applied for the Howard/AWS practicum and will be enrolled during the time of the co-op
• Have a graduation conferral date on or after November 2023
• Previous Technical Internship Experience
• Demonstrable track record of dealing with ambiguity, prioritizing needs, and delivering measurable results in an agile environment
• Experience with Amazon Web Services
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation,
Do you want to innovate across the entire stack, from hardware design to logic verification, from firmware to application, from compiler to ML framework integration?
Join us for this co-op opportunity where you will work part time during the summer months while enrolled in the Howard University/AWS Practicum.
A day in the life
Your project could include, but not limited to working with one of the following groups:
• Design verification: This team is responsible for different aspects of verification (simulation, emulation & formal) at unit-level, SoC or full system. We are also responsible for making sure the DV flows are working smoothly. This role would develop SV/UVM components or use C/C++ to develop tests for our next generation ML product.
• RTL design: This team is responsible for developing RTL designs for next generation ML products. The team delivers high quality design netlist and timing constraints to Physical design team and works closely with verification and SW team to ensure that the design intent matches with chip architecture specification. The RTL code is developed using Verilog.
• Emulator: This team is responsible to enable users to run emulation workloads to verify chip features. This involves emulation hardware setup, emulation testbench development, sw/tool integration, debug support, automation and working with vendors.
• Physical Design: This team will work closely with RTL designers to drive physical implementation including synthesis, P&R, clocking, timing closure, power optimization and physical verification for the next generation of Machine learning datacenter accelerators.
• Hardware Design: This team is responsible for the architecture of future Machine Learning accelerator cards and servers. We develop and test new hardware that eventually will be deployed in AWS data centers.
About the team
Annapurna is the custom silicon innovation engine inside AWS and Annapurna builds durable advantage for AWS through hardware acceleration, from computer networking, ARM-based microprocessor, to machine-learning accelerator. Annapurna builds custom chips silicon including our own Arm-based CPU (Graviton), Networking & Security (Nitro), and Machine Learning (Inferentia, Trainium), associated application software (Enhanced Networking, Neuron compiler), and all associated board-level hardware that is integrated into AWS servers and Infrastructure. Annapurna technology is used in every new server deployed in AWS since 2016, and enables customers to increase performance and cost year over year as they develop new technology to keep pace with customer feature velocity.
Mentorship & Career Growth
Our team is dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Projects and tasks are assigned in a way that leverages your strengths and helps you further develop your skillset.
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
Work/Life Harmony
Our team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility and encourage you to find your own balance between your work and personal lives.
Basic Qualifications
• Pursuing a Bachelor's Degree or higher in Computer Engineering, Electrical Engineering, Computer Science, or related degree from Howard University
• Have applied for the Howard/AWS practicum and will be enrolled during the time of the co-op
• Have a graduation conferral date on or after November 2023
Preferred Qualifications
• Programming experience with at least one modern language such as SystemsVerilog, VHDL, C++, C#, Java, Python, Golang, PowerShell, Ruby• Previous Technical Internship Experience
• Demonstrable track record of dealing with ambiguity, prioritizing needs, and delivering measurable results in an agile environment
• Experience with Amazon Web Services
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation,
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