HPC Customer Solutions Engineer

This is a fully remote position, open to applicants in Minnesota, +1 more state.

📋 Description

• Deliver hands-on assistance to clients in addressing technical challenges related to scientific HPC applications.

• Detect, diagnose, and replicate client-facing bugs and runtime issues.

• Ensure prompt resolution of customer inquiries and enhance customer satisfaction.

• Propel new software functionalities through direct interaction with customers.

• Keep abreast of essential software features and provide guidance and support to users.

• Serve as a bridge between internal teams, end-users, and stakeholders.

• Advocate for customer requirements by translating technical specifications into software functionalities.

• Contribute to user manuals and the support knowledge repository.

• Analyze HPC applications and identify performance bottlenecks across various architectures.

⛳️ Requirements

• A Master's degree or higher in computer science, engineering, physics, or a related discipline; candidates with relevant experience may be considered in lieu of an advanced degree.

• Proficient in C, C++, and/or Fortran programming languages.

• Working knowledge of standards-based parallel programming models and languages such as MPI, OpenMP, CUDA, or OpenACC.

• Familiarity with components of the HPC software stack, including LLVM compilers and toolchains, libraries, schedulers, and job submission systems like SLURM or PBS.

• Experience with Linux/Unix operating systems and command-line tools for system navigation, administration, and troubleshooting.

• Understanding of performance optimization strategies for parallel computing, including code profiling, tuning, and scaling.

• Outstanding written communication skills with the ability to create clear, concise, and technically precise documentation.

• Strong verbal communication skills for engaging with customers and advocating internally.

• A results-oriented mindset with innovative problem-solving skills and a focus on achieving outcomes.

• US citizenship with the ability to access US government research facilities is strongly preferred.

• Knowledge of Python and relevant data science libraries such as NumPy and Pandas.

• Familiarity with AI/ML frameworks like PyTorch, TensorFlow, JAX, vLLM, and llama.cpp, along with experience in optimizing, profiling, and debugging AI/ML workloads on parallel architectures.

• Experience in packaging, compiling, troubleshooting, and executing open-weight models.

• Background in working with or in a neocloud/hyperscaler provider.

🏝️ Benefits

• Consideration for remote work for exceptional candidates.

• Preference for a hybrid work setup in Austin or Minneapolis offices.

• Opportunity to engage with next-generation HPC and AI/ML technologies.

• Collaboration with product and software engineering teams.

• Customer-facing role that influences high-performance computing platforms.