Senior HPC Support Engineer – Compute and GPU Platform

🕒 June 25

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Logo of NVIDIA

NVIDIA

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Ability to resolve sophisticated customer concerns and technical issues through meticulous research, reproduction, and solving problems for customers installing our products and supporting systems • rapid debugging and response to user-reported issues via telephone, email or conference calls on the DGX Platform (hardware and software) stack including but not limited to resolving customer issues during installation, operation, maintenance or product application or interoperability with other vendors. • ability to apply industry standard AI Tools to efficiently share debugging results, create internal/external knowledge base articles & analyze customer issues thereby helping to develop, re-define and document standard methodologies to provide to internal teams (Support/R&D) for support process and improvements. • participate in multi-functional team meetings and giving feedback to engineering and marketing regarding product requirements, customer experience, support tools, etc.

🎯 Requirements

• 5+ years in providing in-depth Customer Support and debugging experience for hardware and software products • strong organizational skills and ability to prioritize/multi-task easily with limited supervision • proven use of established AI technologies in day-to-day job responsibilities • established knowledge of Enterprise platform and systems engineering • understanding of Linux triage, knowledge about servers and can resolve hardware and/or OS internal issues • excellent verbal and written English skills • an academic degree from an accredited university or college in Networking, Computer Science/Engineering, or Electrical/IT (or equivalent experience) • intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented including professional-level communication skills, interpersonal skills with a passion to solve problems. • profound knowledge and experience (solving) in Linux System Administration on engineering and networking level, preferable focused on Red Hat Enterprise Linux and Ubuntu distributions. • deep understanding of at least two of the following: data centers, servers, distributed systems, virtualization, deep learning frameworks, containers/containerization (i.e. Docker, Kubernetes).

🏖️ Benefits

• comprehensive benefits package • equity

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