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

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

As an SDE on the pre‑silicon team, you will drive 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 and write bare‑metal software to verify end‑to‑end functionality and performance of the SoC and its subsystems.

• Collaborate with architecture, design and emulation teams to develop new silicon functionality.
• Write bare‑metal software to verify the end‑to‑end functionality of the SoC and the functionality and performance of different subsystems.

• 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.

• Master’s degree in Electrical, Communications Engineering or a related field.
• Experience with formal verification techniques including abstraction and end‑to‑end checking.
• Experience with ARM and various DSP ISAs.
• Experience with current and upcoming RF standards in cellular (4G/5G ), WiMAX, 802.11ad, microwave backhaul or related broadband wireless standards.
• Experience with industry standard tools and scripting languages (Python or Perl) for automation.

• Competitive base pay range $129,800–$212,800 (US geographic market).
• Equity, sign‑on payments and other compensation may be provided as part of a total compensation package.
• Full range of medical, financial and other benefits.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.