Technical Account Manager - HPC and Cloud

NVIDIA Corporation; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

NVIDIA Corporation is seeking an HPC Technical Account Manager or hardware engineer to serve as the main customer contact for enterprise solutions, including installation, maintenance, and optimization of HPC data center technologies.

You will collaborate with engineering, marketing, and support teams, resolving complex issues and ensuring high customer satisfaction while leveraging GPU and AI accelerator technologies.

Qualifications

• 8+ years in providing in-depth customer support and debugging for hardware and software products.
• Profound knowledge of Linux and Networking (LFCS / RHCSA).
• Bachelor's degree or equivalent experience.
• Expertise with data center virtualization concepts and trends (VMware, Docker, Kubernetes).
• Exceptional interpersonal and communication skills with the ability to own issue resolution.

Responsibilities

• Work with NVIDIA Cloud and Enterprise customers to resolve sophisticated technical issues through meticulous research and reproduction.
• Own and resolve customer issues during installation, operation, maintenance, or product application.
• Work with GPUs, AI accelerators, and high-speed interconnects; engage ML frameworks and tools like Spark, Kubernetes, Ceph.
• Contribute independent analysis and documented methodologies to support processes and improvements.

Skills

Linux

Networking

Interpersonal skills

Communication

Prioritization

Problem solving

Scripting

Data center virtualization

Education

Bachelor's degree or equivalent experience

Tools

VMware

Docker

Kubernetes

Spark

Job description

We are seeking a motivated HPC Technical Account Manager or hardware engineer with soft skills, passionate about HPC data center technologies, comfortable working with enterprise customers to provide comprehensive solutions for sophisticated installations, maintenance, and operations for a broad scope of groundbreaking products. You will be a main point of contact for our customers;assistingthem with technical inquiries, debugging, and resolving their issues.

As a member of our TAM team, you are a meticulous, proficient communicator who is fundamentally interested in helping our customers succeed, taking ownership in resolving issues, and ensuringa high levelof customer satisfaction ismaintainedand delivered. A significant part of the role is interacting with engineering, marketing, andsupportteams regularly.

What you will be doing:

• Work with NVIDIA Cloud and Enterprise customers to resolve sophisticated technical issues and customer concerns through meticulous research and reproduction for customers installing our products with a focus on next-generation AI, and HPC server technologies.
• Own and resolve customer issues during installation, operation,maintenanceor product application.
• Work with the latest hardware (e.g.GPUs, AI accelerators, high-speed interconnects) and software technologies such as ML frameworks and tools like Spark, Kubernetes, and Ceph.
• Bring independent analysis, communication, and problem-solving skills to improve customers' experiences.
• Be a technical resource, develop, re-define, and document standard methodologies to share with internal teams (support / R&D) for support processes and improvements.

What we need to see:

• 8+ years in providing in-depth customer support anddebugging forhardware and software products.
• Profound knowledge and experience with Linux and Networking (LFCS / RHCSA)
• Bachelors degree or equivalent experience
• Expertisewith data center virtualization (VMWARE, Docker, Kubernetes) concepts and trends.
• Exceptional interpersonal skills with the ability tomaintainand lead the overall resolution for any critical issue raised by our customers, under all circumstances.
• Superb communication and presentation/oral skills
• Strong organizational skills and able to prioritize / multi-task easily with limited supervision.

Ways to stand out from the crowd:

• Experience with large-scale HPC or AI cluster environments
• Familiarity with GPU-based computing and accelerator technologies
• Familiarity with Networking technologies
• Background in support escalation, SRE, or production engineering
• Scripting/automation skills (Python, Bash, Ansible, YAML) and exposure to AI/ML frameworks or data analytics platforms

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.