HPC Applications Engineer - Accelerated Compute

NextSilicon; Minneapolis (MN); Hybrid; USD 120,000 - 180,000; Full time

Job summary

NextSilicon in Minneapolis/Houston hybrid setup is seeking an hands-on HPC software developer to profile bottlenecks and craft novel algorithms for a dataflow architecture. You will measure performance across diverse HPC workloads and translate user requirements into scalable software features.

The role spans graph algorithms, sparse computations, weather prediction, seismic imaging, genomics, molecular dynamics, quantum chemistry, and CFD, with a fast-paced, collaborative environment and

Qualifications

• US citizenship and eligibility to visit US government research facilities.
• B.S. in a hard science, engineering, CS or related field; MS/PhD preferred.
• Hands-on experience with HPC applications.
• Hands-on experience with AI/ML frameworks (e.g., PyTorch).
• Proficiency in C/C++ and/or Fortran.
• Ability to measure and profile HPC performance at node and scale.
• Working knowledge of OpenMP, MPI and related models.
• Strong capability in competitive performance analysis is preferred.
• Willingness to travel as needed.
• Ability to work remotely and independently in a fast-paced environment.

Responsibilities

• Profile and identify bottlenecks of HPC applications on diverse architectures.
• Develop algorithms and software to accelerate applications on a novel dataflow architecture.
• Translate application requirements into software features and hardware needs.
• Develop performance models for future hardware architectures.

Skills

C/C++

Fortran

OpenMP/MPI

PyTorch

Performance profiling

Travel willingness

Remote work capable

Education

B.S. in hard sciences/engineering/CS

MS or PhD strongly preferred

Tools

PyTorch

Job description

NextSilicon in Minneapolis/Houston hybrid setup is seeking an hands-on HPC software developer to profile bottlenecks and craft novel algorithms for a dataflow architecture. You will measure performance across diverse HPC workloads and translate user requirements into scalable software features.

The role spans graph algorithms, sparse computations, weather prediction, seismic imaging, genomics, molecular dynamics, quantum chemistry, and CFD, with a fast-paced, collaborative environment and