HPC Applications Engineer

Next Silicon 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.

• 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.

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!

• US citizenship and eligibility to visit US government research facilities
• B.S. degree in a hard science, engineering, computer science, or a related field; M.S. or Ph.D. strongly preferred
• 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
• Working understanding of OpenMP, MPI, and related parallel programming models
• Expertise in competitive performance analysis is strongly preferred
• Willingness to travel as necessary
• Ability to work remotely and independently in a fast‑paced environment with minimal direct supervision

• 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