Senior SoC Modeling Engineer ML Accelerators (C++/SystemC)

Amazon Web Services (AWS); Cupertino (CA); On-site; USD 193,000 - 262,000; Full time

Job summary

Annapurna Labs (U.S.) Inc. is seeking a Senior SoC Modeling Engineer to build and maintain complex functional models of custom chips used in AWS ML servers. You will design, implement, test, and optimize C++/SystemC models, collaborating with architecture, RTL, and software teams.

You'll drive tooling, performance, and reliability while delivering scalable modeling infrastructure for internal customers across AWS. Hybrid work with CA/Austin may apply.

Qualifications

• 5+ years of non-internship professional software development experience.
• 5+ years of programming with at least one software programming language experience.
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
• Experience as a mentor, tech lead or leading an engineering team.

Responsibilities

• Develop and own SoC functional models end-to-end, including model architecture, integration with other model or infrastructure components, testing, and debug
• Work closely with architecture, RTL design, design verification, emulation, and software teams to build, debug, and deploy your models
• Innovate on the tooling you provide to customers, making it easier for them to use our SoC models
• Drive model and modeling infrastructure performance improvements to help our models scale
• Develop software which can be maintained, improved upon, documented, tested, and reused

Skills

C++

SystemC

Python

Modeling

Mentorship/Leadership

Education

Bachelor's degree in Computer Science or equivalent

Tools

Git

Build systems

Job description

Annapurna Labs (U.S.) Inc. is seeking a Senior SoC Modeling Engineer to build and maintain complex functional models of custom chips used in AWS ML servers. You will design, implement, test, and optimize C++/SystemC models, collaborating with architecture, RTL, and software teams.

You'll drive tooling, performance, and reliability while delivering scalable modeling infrastructure for internal customers across AWS. Hybrid work with CA/Austin may apply.