Frontend ASIC Methodology Engineer - Cedar Park, TX, United States - Annapurna Labs (U.S.) Inc.

Description

Job Description Our Machine Learning Acceleration (MLA) team develops the SOCs that are used to power today's AI workloads in datacenters all around the world.

As a Frontend ASIC engineer, you'll contribute to the project at the ground level by automating workflows and developing large-scale solutions that accelerate silicon development - it's still Day One here at Amazon

We're searching for an experienced Frontend ASIC engineer with a background in RTL design and/or verification with a proven track record of handling challenges at scale.

In this role, you'll be working directly with architects, designers, verification engineers, software teams, and backend experts - defining best practices and deploying flows to keep the entire team aligned on our way to tape-out.

Interface with DevOps team to provide compute farm, network topology, storage, and tool requirements
Experience with monitoring and debugging infrastructure performance issues
Experience architecting & deploying frontend ASIC development flows
Experience with databases for storing large quantities of data
ASIC Frontend Development
Strong hands-on experience with scripting languages to automate processes with clean, reviewable, and maintainable code
Experience with architecting Continuous Integration / Continuous Deployment (CI/CD) jobs
Familiarity with infrastructure required for emulation builds and deployment
Experience with advanced git configuration
ASIC Frontend Development
Knowledge of best practices for Verilog / SystemVerilog coding
Experience with object-oriented programming and software development methodologies
Hands-on experience with design verification methodologies, such as testplanning, constrained random testing, assertions, and coverage closure
Familiarity with frontend ASIC methodologies, RTL lint, synthesis, LEC, CDC, RDC, etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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