Pre-Silicon SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS

Description

AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds C++ models of these custom SoCs that RTL designers, verification engineers, and software teams depend on throughout the silicon development lifecycle. We're looking for a modeling engineer to build and own models that directly impact how our chips are designed, verified, and brought to production.

What You'll Do

• Build and own models of SoC subsystems — translating architecture specs and RTL behavior into accurate, testable C++ models
• Work directly with RTL design and verification teams to validate model behavior against RTL, debug discrepancies, and support pre-silicon verification flows
• Develop model-based test infrastructure: regression suites, RTL correlation checks, and coverage-driven testing
• Contribute to performance modeling efforts — building cycle-approximate models that help architects evaluate design trade-offs before RTL exists
• Improve modeling methodology and infrastructure: how models are structured, integrated, tested, and released to DV and architecture teams
• Collaborate with chip architects to understand upcoming designs and plan modeling work ahead of RTL availability

Why This Role Is Interesting

• Your models are used to verify silicon before it's built — bugs you catch save months of schedule and millions of dollars
• You'll work at the intersection of software engineering and chip design, with deep visibility into how custom ML accelerators are architected
• The small team, high ownership, and direct impact on AWS's most strategic silicon programs make this role highly rewarding

What You Bring

• Built functional or performance models of SoCs, ASICs, GPUs, CPUs, or IP blocks
• Comfortable working with architectural / design specifications or reference implementations and translating them into C++ or SystemC models
• Understand verification concepts and have worked with DV teams or in pre-silicon validation environments
• Care about model fidelity and have experience correlating models against RTL or silicon
• Interested in expanding into architectural performance modeling as the team grows
• Enjoy working on a small, high-impact team where you own significant pieces of the stack

Basic Qualifications

• Experience programming languages such as C/C++, Python, Java, or Perl
• 2+ years writing functional or performance models of hardware (SoCs, ASICs, GPUs, CPUs, IP blocks)
• Familiarity with SoC, CPU, GPU, and/or ASIC architecture and micro-architecture

Preferred Qualifications

• 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Experience working with DV teams or integrating models into verification flows
• Experience with SystemC or TLM-based modeling
• Experience correlating functional models against RTL simulation or emulation
• Experience developing or calibrating performance models
• Familiarity with Modern C++ (20 and beyond)
• Experience with PyTest, GoogleTest, or similar test frameworks
• Experience with multi-threaded simulation

Location

• Cupertino, CA
• Austin, TX

Company

Annapurna Labs (U.S.) Inc.

Job ID

A10378119