Technical Account Manager - HPC

Posted 3 Days Ago
Be an Early Applicant
3 Locations
Remote
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves managing customer support for HPC technologies, resolving technical issues, and collaborating with engineering and support teams for improved customer experiences.
Summary Generated by Built In

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; assisting them 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 ensuring a high level of customer satisfaction is maintained and delivered. A significant part of the role is interacting with engineering, marketing, and support teams regularly.  

What you will be doing:  

  • Work with NVIDIA 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, maintenance or 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 and debugging for hardware and software products.  

  • Profound knowledge and experience with Linux and Networking (LFCS / RHCSA)  

  • Bachelors degree or equivalent experience

  • Expertise with data center virtualization (VMWARE, Docker, Kubernetes) concepts and trends.  

  • Exceptional interpersonal skills with the ability to maintain and 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

  • Background in support escalation, SRE, or production engineering

  • Scripting/automation skills (Python, Bash, Ansible, YAML)

  • Exposure to AI/ML frameworks or data analytics platforms

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 

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.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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