HPC Customer Solutions Engineer

🕒 August 21

❄️ Minnesota, Texas – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 18%

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Logo of NextSilicon

NextSilicon

201 - 500 employees

🔧 Hardware

🥽 AR/VR

🤖 Artificial Intelligence

Hardware • AR/VR • Artificial Intelligence

NextSilicon is a company focused on innovating computer architectures to enhance future computing processes. They believe in a smarter future and aim to create new opportunities for innovation in the field of computer hardware.

📋 Description

• Provide hands-on support to assist customers in resolving technical issues for scientific HPC applications • Identify, troubleshoot, and reproduce client-facing bugs and runtime errors, ensuring timely resolution and customer satisfaction • Drive new software features through direct customer engagement and resolve client-facing issues • Maintain up-to-date knowledge of key software features and communicate effectively with customers to provide guidance and support • Act as a liaison between internal teams, end-users, and relevant stakeholders to advocate for and fulfill customer needs, translating technical requirements into software features • Contribute to the development and upkeep of user documentation and the support knowledge base • Profile and identify bottlenecks in a diverse range of HPC applications across various architectures

🎯 Requirements

• Master's or higher degree in computer science, engineering, physics, or a related field; candidates may be considered if they have relevant experience in lieu of an advanced degree • Proficiency in C, C++, and/or Fortran programming languages • Working understanding of standards-based parallel programming models and languages such as MPI, OpenMP, CUDA, or OpenACC • Familiarity with HPC software stack components including LLVM compilers and toolchains, libraries, schedulers, and job submission systems such as SLURM or PBS • Experience with Linux/Unix operating systems and command-line tools for system navigation, administration, and troubleshooting • Knowledge of performance optimization techniques for parallel computing, including code profiling, tuning, and scaling • Exceptional written communication skills with a proven ability to produce clear, concise, and technically accurate documentation • Strong verbal communication for effective customer engagement and internal advocacy • Results-driven and relentless, with a bias toward creative solutions and a no-excuses approach to delivering outcomes • US citizenship with eligibility to visit US government research facilities strongly preferred • Familiarity with Python and relevant data science libraries such as NumPy and Pandas • Familiarity with AI/ML frameworks such as PyTorch, TensorFlow, JAX, vLLM, and llama.cpp and/or working knowledge of optimizing, profiling, and debugging AI/ML workloads on parallel architectures • Experience packaging, compiling, troubleshooting, and running open-weight models • Experience working with or in a neocloud/hyperscaler provider

🏖️ Benefits

• Remote work considered for exceptional candidates • Hybrid work arrangement in Austin, TX or Minneapolis, MN offices preferred

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