Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience with performance, systems data analysis, visualization tools, or debugging.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Experience in C++.
Nice to haves:
Master's degree or PhD in Computer Science or related technical fields.
5 years of experience with data structures/algorithms.
Experience in Machine Learning and High Performance Computing (HPC).
Experience optimizing distributed programs at large scale.
Experience with Compilers and Compiler construction.
Excellent debugging and programming concurrent/parallel computations, and excellent working on accelerators including but not limited to VLIW and Vector machines, GPUs, or DSPs.
What you'll be doing:
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Contribute to a compiler which scales-out machine learning models across accelerators like TPU/GPU at Google and Cloud.
Conduct static and runtime performance analysis of important large-scale production models.
Design and implement performance optimizations and critical features, which increase the velocity of important production teams.