Amazon Sr Software Development Engineer Graviton Annapurna Labs 

United States, Texas, Austin 

346174563

As a senior software engineer in HPC domain, you will work on improving the performance and capabilities of the HPC software and applications. You will contribute to the state-of-the-art languages, methods and tools used to develop, profile and debug parallel scientific applications and libraries such as MPI, PGAS, OpenMP, BLAS, parallel computing, C++, Python, and Fortran. If you are already an open source developer or passionate about it, you will be able to continue your passion and contribute back to the community across all those projects. In this role you will use and further develop your deep knowledge in areas including design, implementation, and data analysis. You will have the opportunity to understand and improve how AWS delivers on one of the most important shifts at the core of the data center: our migration to Arm applications.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSWork/Life Balance
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Hybrid Work

- At least 7 years of relevant work experience and software development in HPC, MPI, PGAS, OpenMP, C++, Python, and Fortran.
- Expert knowledge of computer programming trends and their application to High Performance Computing (HPC).
- Detailed knowledge of computer architecture (CPU, GPU, interconnects) technologies.
- A demonstrated ability to lead technical efforts in a team environment.

- Previous work experience in the area of software performance analysis and performance focused framework and library development to effectively utilize the hardware resources.