HPC Applications Engineer — Accelerate Apps on New Hardware

Next Silicon; United States; Hybrid; Confidential; Full time

Job summary

NextSilicon is seeking an experienced HPC Applications Engineer to move HPC applications onto new platforms and to evaluate performance on node and scale. You will join a high-performing, geographically distributed team in a collaborative, fast-paced environment.

The role combines software-defined hardware insights with scientific computing, touching domains like graph algorithms, weather prediction, and molecular dynamics. The position is based in Minneapolis with a hybrid work model.

Qualifications

• US citizenship and eligibility to visit US government research facilities.
• Hands-on experience with development in one or more HPC application domains.
• 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.

Responsibilities

• 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.

Skills

C/C++

Fortran

OpenMP

MPI

Performance profiling

Education

Bachelor's degree in a hard science, engineering, computer science, or related field

Job description

NextSilicon is seeking an experienced HPC Applications Engineer to move HPC applications onto new platforms and to evaluate performance on node and scale. You will join a high-performing, geographically distributed team in a collaborative, fast-paced environment.

The role combines software-defined hardware insights with scientific computing, touching domains like graph algorithms, weather prediction, and molecular dynamics. The position is based in Minneapolis with a hybrid work model.