Lead business development and strategy for a new silicon computing platform, identifying markets, engaging customers, and establishing partnerships.

The role involves developing software for scientific computing applications and maintaining high-performance computational platforms, focusing on backend services and integration.

Develop and optimize software for scientific computing applications on CPUs and GPUs, focusing on performance enhancements and integration into production software.

Develop software for optimization, compilation, execution, and debugging of scientific computing applications using languages like C++, CUDA, and Python.

As a Compiler Engineer, you will develop and extend LLVM-based compiler software for scientific applications, optimize performance, and work closely with architecture teams.

Design and maintain APIs and infrastructure for large-scale scientific computing, manage cloud resources, and implement observability systems.