HPC Customer Solutions Engineer

🕒 il y a 29 jours

❄️ Minnesota, Texas – Distant

infoinfo

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

👻 Score fantôme 12%

infoinfo

🗣️🇺🇸🇬🇧 Anglais requis

C++

Linux

Numpy

Pandas

Python

PyTorch

Tensorflow

Unix

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NextSilicon

201 - 500 employés

🔧 Matériel

🥽 RA/RV

🤖 Intelligence artificielle

Hardware • AR/VR • Artificial Intelligence

Nous croyons en un avenir plus intelligent et souhaitons créer de nouvelles opportunités pour l'innovation. Pour y parvenir, nous repensons les architectures de calcul pour le futur du traitement informatique.

Description

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

🎯 Exigences

• 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 ability to produce clear, concise, and technically accurate documentation • Strong verbal communication for customer engagement and internal advocacy • Results-driven approach with creative problem-solving and focus on 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 experience 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

🏖️ Avantages

• Remote work considered for exceptional candidates • Hybrid work arrangement preferred in Austin or Minneapolis offices • Opportunity to work on next-generation HPC and AI/ML technologies • Collaboration with product and software engineering teams • Customer-facing role shaping high-performance computing platforms

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