SDE - ML Hardware/Software Co-Design (Pre-Silicon)

Amazon.com, Inc.; Austin (TX); On-site; USD 154,000 - 215,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Inc. is seeking an SDE for Annapurna Labs Machine Learning Acceleration to drive pre-silicon hardware/software co-design for ML chips. You will collaborate with architecture, design and emulation teams to extend silicon functionality.

You will write bare-metal software to verify end-to-end performance of the SoC and its subsystems, with a strong emphasis on debugging and system verification across multiple levels. A background in embedded software or chip design is preferred.

Qualifications

• Bachelor's degree in Electrical Engineering or a related field.
• Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills.
• Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing.

Responsibilities

• Drive pre-silicon hardware/software co-development for ML chips.
• Collaborate with architecture, design and emulation teams to build silicon functionality.
• Write bare-metal software to verify end-to-end functionality of the SoC and subsystems.

Skills

Debugging

Architecture verification

SoC validation

End-to-end testing

Education

Bachelor's degree in Electrical Engineering or related field

Master's degree in Electrical or Communications Engineering or related field

Tools

Python

Perl

Job description

Amazon Inc. is seeking an SDE for Annapurna Labs Machine Learning Acceleration to drive pre-silicon hardware/software co-design for ML chips. You will collaborate with architecture, design and emulation teams to extend silicon functionality.

You will write bare-metal software to verify end-to-end performance of the SoC and its subsystems, with a strong emphasis on debugging and system verification across multiple levels. A background in embedded software or chip design is preferred.