Pre-Silicon ML Chip HW/SW Co-Design SDE

Amazon Web Services (AWS)

Cupertino (CA)

On-site

USD 157,000 - 213,000

Full time

2 days ago
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Job summary

Annapurna Labs (U.S.) Inc. in Cupertino, CA is seeking an SDE for the pre-silicon team to drive hardware/software co-development of our machine learning chips. You will collaborate with architecture, design and emulation teams to define silicon functionality and verify end-to-end systems.

The role requires a solid background in embedded software or chip design, and you will write bare-metal software to validate the SoC subsystems, ensuring performance and correctness across levels.

Qualifications

  • Bachelor's degree in Electrical Engineering or a related field.
  • Experience identifying bugs in architecture, algorithms, functionality, and performance with strong 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 our ML chips.
  • Collaborate with architecture, design and emulation teams to build silicon functionality.
  • Write bare-metal software to verify end-to-end SoC functionality and subsystem performance.
  • Apply embedded software/system development or chip design background to validation work.

Skills

Bug identification
System debugging
SoC verification
Embedded software

Education

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

Tools

Python

Job description

Annapurna Labs (U.S.) Inc. in Cupertino, CA is seeking an SDE for the pre-silicon team to drive hardware/software co-development of our machine learning chips. You will collaborate with architecture, design and emulation teams to define silicon functionality and verify end-to-end systems.

The role requires a solid background in embedded software or chip design, and you will write bare-metal software to validate the SoC subsystems, ensuring performance and correctness across levels.

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