Research Scientist, Compilers

Job content

Minimum qualifications:

• PhD degree in Compilers, related technical field, or equivalent practical experience.
• Experience working with Python or C++.
• Experience with High Performance Computing and Compiler Construction.
  
  

Preferred qualifications:

• Experience with compiler design implementation, performance analysis for hardware (GPUs, CPUs, mobile).
• Experience of impactful contributions to LLVM or Multi-Level Intermediate Representation (MLIR).
• Publications in relevant global conferences in the field of Compilers and High Performance Computing.
  
  

About The Job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you’ll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you’ll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Research happens at Google everyday, on many different embedded teams throughout the company. Our research reaches the user through both services and products such as Search, Maps, Google Assistant, Google Translate, Google Cloud and our computing, storage, and networking infrastructure. To achieve this, we’re working on a wide variety of projects that utilize the latest state-of-the-art technologies that push the boundaries of what is possible.

Responsibilities

• Contribute to MLIR and more globally across the pieces of production that use it.
• Work at multiple different levels of construction within compilers with a performance orientation.
• Partner with other individuals that are doing compiler research and also contribute to the production side.
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .