Applied ML Scientist for Pre-Silicon Accelerator

Amazon Science; Boston (MA); Sur place; USD 136 000 - 184 000; Plein temps

Résumé du poste

Amazon Science in Boston is seeking a software engineer to design and implement the content generation framework for pre-silicon verification of a custom ML accelerator. You will collaborate with verification engineers, hardware architects, and designers to enable the creation of targeted tests for complex chips.

Responsibilities include modeling instruction streams, building APIs for scheduling, and deploying algorithms that ensure safe, concurrent code while driving coverage.

Qualifications

• Experience programming in Java, C++, Python or related language.
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.

Responsabilités

• Develop understanding of a custom ML instruction set architecture.
• Model correctness of instruction streams using first order logic.
• Create custom APIs to control scheduling and randomness.
• Deploy algorithms to ensure concurrent code is safely constructed.
• Create coverage metrics to ensure solution space coverage.
• Use machine learning to automate content creation.

Connaissances

Java

C++

Python

SQL

RDBMS

Outils

Oracle

Data Warehouse

Description du poste

Amazon Science in Boston is seeking a software engineer to design and implement the content generation framework for pre-silicon verification of a custom ML accelerator. You will collaborate with verification engineers, hardware architects, and designers to enable the creation of targeted tests for complex chips.

Responsibilities include modeling instruction streams, building APIs for scheduling, and deploying algorithms that ensure safe, concurrent code while driving coverage.