Expoint – all jobs in one place
Finding the best job has never been easier
Limitless High-tech career opportunities - Expoint

Amazon Principal Business Development Tech eero Americas Bus Dev 
Panama 
537238937

Today
DESCRIPTION

In-house designed SoCs (System on Chips) are the brains and brawn behind AWS’s Machine Learning Acceleration servers, TRN and INF. Our team builds functional models of these ML accelerator chips to speed up SoC verification and system software development. We’re looking for a Hardware Functional Modeling Engineer to join the team and deliver new C++ models, infrastructure, and tooling for our customers.As part of the ML acceleration modeling team, you will:
- Develop and own SoC functional models end-to-end, including model architecture, integration with other model or infrastructure components, testing, and debug- 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 reusedAnnapurna Labs, our organization within AWS, designs and deploys some of the largest custom silicon in the world, with many subsystems that must all be modeled and tested with high quality. Our SoC model is a critical piece of software used in both our SoC development process and by our partner software teams. You’ll collaborate with many internal customers who depend on your models to be effective themselves, and you'll work closely with these teams to push the boundaries of how we're using modeling to build successful products.You will thrive in this role if you:
- Are an expert in functional modeling for SoCs, ASICs, TPUs, GPUs, or CPUs
- Are comfortable modeling in C++ with OOP principles- Want to jump into an ML-aligned role, or get deeper into the details of ML at the hardware/system-levelAlthough we are building ML SoC models, no machine learning background is needed for this role. You’ll be able to ramp up on ML as part of this role, and any ML knowledge that’s required can be learned on-the-job.

BASIC QUALIFICATIONS

- 3+ years of non-internship professional experience writing functional models of hardware, SoCs, ASICs, etc.
- Experience programming with C++ using OOP
- Familiarity with SoC, CPU, GPU, and/or ASIC architecture and micro-architecture


PREFERRED QUALIFICATIONS

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, and testing
- Experience developing for QEMU
- Experience with PyTest and GoogleTest
- Familiarity with modern C++ (11, 14, etc.)
- Experience with machine learning accelerator hardware and/or software