Technical Account Manager

Austin, TX; Bastrop, TX; Los Angeles, CA; Memphis, TN; Seattle, WA. Posted 3 months ago

The role

This person leads the technical success of GPU/CPU compute deployments for customer accounts. The role covers implementation, integration, optimization and escalations from provisioning through steady-state operations.

What you will do

Lead technical implementation, integration testing, provisioning and go-live for GPU/CPU clusters
Act as primary technical contact for compute infrastructure requirements and delivery across customer accounts
Provide expertise on GPUs/CPUs, high-performance networking and data center connectivity
Handle technical escalations, root-cause analysis and troubleshooting to meet SOW and SLA compliance
Represent compute systems in cross-functional risk discussions with internal teams and customers
Coordinate with Hardware, Network, Facilities, Cloud Compute, SRE and Program Management teams
Participate in verification testing, performance characterization and reliability assessments
Support expansion planning, capacity scaling and new use cases

Required qualifications

Bachelor's degree in computer science, electrical engineering, computer engineering or other technical discipline
7+ years of hands-on professional experience in large-scale compute, data center or hyperscale infrastructure
Experience leading technical implementations involving GPUs/CPUs and high-performance systems
Ability to work extended hours and weekends as needed
Willingness to travel up to 25%
Comfort operating with extreme ownership in a demanding environment
U.S. citizen or national, U.S. lawful permanent resident, refugee under 8 U.S.C. § 1157, or asylee under 8 U.S.C. § 1158, or eligible for authorization from the U.S. Department of State

Nice to have

Master's degree or higher in a STEM discipline
Prior experience as a Technical Account Manager, Solutions Architect or equivalent
Deep knowledge of InfiniBand, RoCE, NVIDIA networking (NCCL, NVLink, GPU Direct RDMA) and large GPU cluster architectures
Experience with AI/ML training and inference infrastructure at scale
Background in performance tuning, security/compliance implementation and hybrid/cloud integration
Ability to assess risk and decide with incomplete data
Excellent written and verbal communication skills
Hands-on experience with Linux, orchestration tools and infrastructure monitoring

Before you apply

Must meet U.S. export regulation (ITAR) citizenship or residency rules, as listed in the requirements