Chip Validation Software Engineer

- Bachelors/Masters degree in Computer Science, Electrical Engineering, or related disciplines. Please include a grade sheet/academic transcript along with your CV in a single PDF when submitting your application
- 1+ years of experience in software development/ chip validation
- C hands-on development and debug
- Experience in Networking protocols
- Experience in software development
- Experience in the following fields is preferred:
- RT embedded SW
- Multi-core CPU programming
- C++ design knowledge
- Performance analysis

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Annapurna Labs, an Amazon company, designs and delivers high-end, custom silicon that sits at the very heart of AWS. Our devices don't just support the cloud - they actively define it. From Trainium, the purpose-built machine learning accelerator driving the next wave of AI innovation forward, to Graviton, the Arm-based server processor that is redefining price-performance for compute workloads, to Nitro, the advanced network and cloud management controller that powers every single AWS instance - Annapurna's products consistently set the standard for the entire industry

An exciting opportunity to join Amazon in developing its next generation products for the cloud market, working in a very team-oriented environment.
We are looking for exceptional software engineers to help develop the next generation chips based on a revolutionary architecture.
In this job you will design and develop software for functional and performance validation.

Key job responsibilities
In this role you will develop system level software, targeting chip architecture, functional correctness and performance, running on various platforms and validating chip functionality.