Amazon SoC Modeling Engineering Team Lead Annapurna 

United States, California, Cupertino 

228395667

Custom SoCs (system-on-chips) are the brains behind AWS’s Machine Learning servers. Our team builds C++ models of these accelerator SoCs for use by internal partner teams. The modeling team currently develops functional models, but we’re expanding to include performance modeling for key SoC components. We’re looking for a Sr. Modeling Engineer to lead the team in architecting then delivering on new functional and performance models, infrastructure, and tooling for our customers.As the ML accelerator modeling team lead, you will:
- Develop and own functional and performance models end-to-end, including model architecture, integration with other model or infrastructure components, testing, correlation, and debug
- Drive model and modeling infrastructure performance improvements- Innovate on the tooling you provide to customers, making it easier for them to use our SoC models
- 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, tested, and correlated with high quality. The model is a critical piece of software used in both our SoC and SW stack development processes. 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 performance modeling for SoCs, ASICs, GPUs, or CPUs- Are comfortable modeling in C++ and familiar with Python- Want to jump into an ML role, or get deeper into the details of ML at the system-levelAlthough we are building machine learning chips, no machine learning background is needed for this role. This role spans modeling of the ML and management regions of our chips, and you’ll dip your toes into both. 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.This is a fast-paced role where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your software, as well as our products' overall performance, quality, and cost.

- 5+ years of non-internship professional experience writing functional or performance models
- Experience programming with C++
- Familiarity with SoC, CPU, GPU, and/or ASIC architecture and micro-architecture

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, and testing
- Experience developing and calibrating performance models for custom silicon chips
- Experience with writing benchmarks and analyzing performance
- Experience with PyTest and GoogleTest
- Familiarity with modern C++ (11, 14, etc.)
- Experience in multi-threaded programming, vector extensions, HPC, and QEMU
- Experience with machine learning accelerator hardware and/or software