HPC Technical Account Manager

Reposted Yesterday
Be an Early Applicant
8 Locations
In-Office
160K-305K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Technical Account Manager will address technical inquiries, resolve customer issues, and improve experiences within HPC environments while collaborating with engineering and support teams.
Summary Generated by Built In

We are seeking a motivated Technical Account Manager or hardware engineer with soft skills, passionate about HPC data center and networking technologies, comfortable working with enterprise customers to provide comprehensive solutions for sophisticated installations, maintenance, or operations for a broad scope of groundbreaking networking 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 also to interact with Engineering, Marketing, and Support teams regularly. 

What you will be doing: 

  • Work on-site with NVIDIA Enterprise customers in the Seatle area to resolve sophisticated technical issues and customer concerns through meticulous research and reproduction for customers installing our products with a focus on Infiniband, next-generation AI, and HPC server technologies. 

  • Own and resolve customer issues during installation, operation, maintenance or product application or interoperability with other vendors 

  • 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. 

  • Bringing independent analysis, communication, and problem-solving skills to improve customers' experiences. 

  • Author and incorporate technical solutions into our knowledge base 

  • 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. 

  • Bachelors degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or related field  

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

  • 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 in solving problems in large-scale HPC network environments with overlay technologies (BGP, OSPF, VXLAN, EVPN), RoCE and QoS Concepts  

  • Experience as a developer and/or support escalation team member for large enterprise/service provider customers at a company that produces AI and data analytics software 

  • Scripting in Python, bash, Ansible, yaml, etc

  • Background with developing or debugging AI and data analytics software. 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until December 6, 2025.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.

Top Skills

Ai Accelerators
Ansible
Bash
Ceph
Docker
Gpus
High-Speed Interconnects
Infiniband
Kubernetes
Linux
Ml Frameworks
Python
Spark
VMware
Yaml
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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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