Description

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Annapurna Labs is looking for talented engineers to join the Pre-silicon Verification team and help us technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of cutting-edge products within a disruptive system architecture.
You’ll have the opportunity to work on the technologies that power the world’s largest cloud provider, in a dynamic, open, and fast-paced environment.
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Basic Qualifications

- Electrical/Computer Science engineer. Please include a grade sheet/academic transcript along with your CV in a single PDF when submitting your application
- knowledge of object-oriented programming concepts
- knowledge of Verilog/SystemVerilog/Specman

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Preferred Qualifications

- Knowledge of the following programming languages: Perl/Bash/TCl/Python/

About the company

Amazon

Company overview

Amazon runs a wide set of consumer and enterprise businesses, including online retail, Prime Video and other subscription services, advertising, devices, and Amazon Web Services (AWS). Amazon also builds large-scale software and infrastructure for logistics, payments, and cloud computing, and hires across engineering, product, operations, corporate functions, and frontline roles. Amazon’s early-career hiring spans both office-based teams and operational sites, which means “entry-level” can look very different depending on the org.

Locations and presence

Amazon has major corporate hubs in Seattle and Arlington (HQ2) plus large engineering and operations sites across North America, EMEA, and Asia-Pacific. For many corporate roles, Amazon’s stated expectation has shifted to five days per week in-office for office-based employees (with exceptions depending on role and site).

Palpable Score

76.7

/ 100

Amazon is one of the most accessible early-career employers at scale, with recurring internships and graduate hiring across many disciplines and geographies. Amazon also provides unusually clear public information about interview mechanics and publishes pay ranges on a large share of roles, which supports informed decision-making. The biggest drag on outcomes is the combination of high-performance culture signals and recent corporate job cuts, which adds risk for early-career stability depending on team and org.

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