NextSilicon is reimagining high-performance computing. Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation. Our new software-defined hardware architecture enables HPC to fulfill its promise of breakthroughs in all fields of advanced research.
At NextSilicon, everything we do is guided by three core values:
Professionalism: We strive for exceptional results through professionalism and unwavering dedication to quality and performance.
Unity: Collaboration is key to success. That's why we foster a work environment where every employee can feel valued and heard.
Impact: We're passionate about developing technologies that make a meaningful impact on industries, communities, and individuals worldwide.
We are looking for an experienced Applications Engineer to join the Applications team, with demonstrated ability in moving HPC applications onto new platforms and in evaluating performance on node and at scale.
Location: Hybrid in either our Austin, TX or Minneapolis, MN offices (or willing to relocate) preferred but Remote considered for exceptional candidates.
As part of a software-defined hardware company, you will play a pivotal role in driving new software features based on your analysis of customer-defined applications and measuring the resulting performance improvements. This role stands on the edge of computer science/architecture and scientific applications which span a wide range of fields, including but not limited to graph algorithms, sparse computations, weather prediction, seismic imaging, genomics, molecular dynamics, quantum chemistry, and computational fluid dynamics. If you have a passion for science, a knack for solving complex problems, and thrive in a bleeding-edge multidisciplinary environment, we want to hear from you!
עיקרי התפקיד
Profile and identify bottlenecks of a wide range of HPC applications on different architectures
Develop creative algorithmic and software solutions to solve bottlenecks and accelerate applications on a novel dataflow architecture
Translate application requirements into software features and hardware requirements
Develop performance models for future hardware architectures
דרישות
Bachelor of Science in an engineering discipline (computer science, mathematics, natural sciences or engineering) with a significant focus on scientific computing
A strong parallel programming experience using both MPI and OpenMP is required
Hands-on experience with development in one or more HPC application domains
Hands-on experience with one or more AI/ML frameworks, such as PyTorch
Proficiency in C/C++ and/or Fortran
Ability to measure application-level performance and profile HPC applications at the node level and at scale
Willingness to travel as necessary
US citizenship with eligibility to visit US government research facilities
יתרון
Masters or Ph.D. with relevant specialization is
Expertise in competitive performance analysis is strongly