SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration

SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration

Custom machine learning chips are at the heart of our Trainium machine learning instances, and we invite you to build them with us!
As an SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips.
You will work with architecture, design and emulation teams to build new silicon functionality.
You will write bare-metal software to verify the end-to-end functionality of the SoC and the functionality and performance of different subsystems in the SoC.

If you have a solid background in embedded software, system development or chip design, come join us!

BASIC QUALIFICATIONS

1. 2+ YoE in software development
2. Knowledge of HW/SW interfaces and computer architecture
3. Proficiency in programming in C/C++, scripting in Bash/Python
4. Proficiency in data structures and algorithms

PREFERRED QUALIFICATIONS

1. Knowledge in low level software such as firmware and device drivers
2. Knowledge in SoC architecture
3. Knowledge in IO (PCIE, AXI), Memory (HBM, DDR), CPU architecture and Interconnects.

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, protected veteran status, disability, age, or other legally protected status.