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. in Cupertino, CA is seeking a Senior SoC Modeling Engineer to build and deliver C++/SystemC functional models of custom accelerator SoCs for AWS internal teams.

You will own end-to-end models, collaborate with architecture, RTL, verification, and software groups, and create scalable tooling for customers. This role offers opportunities to push modeling performance, write maintainable software, and mentor others while contributing to ML hardware projects in a

Qualifications

• 5+ years of non-internship professional software development experience.
• 5+ years of programming in at least one language.
• 5+ years leading design or architecture of systems.
• 5+ years of full software development life cycle, including coding standards, code reviews, source control, build processes, testing, and operations.
• 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

Mentorship

Software architecture

Education

Bachelor's degree in CS

Job description

Annapurna Labs (U.S.) Inc. in Cupertino, CA is seeking a Senior SoC Modeling Engineer to build and deliver C++/SystemC functional models of custom accelerator SoCs for AWS internal teams.

You will own end-to-end models, collaborate with architecture, RTL, verification, and software groups, and create scalable tooling for customers. This role offers opportunities to push modeling performance, write maintainable software, and mentor others while contributing to ML hardware projects in a