Drimva

xAI

Technical Account Manager

Austin, TX +9 · Manager · Full-time · Posted Jul 20, 2026

Location
Austin, TX
Bastrop, TX
Los Angeles, CA
Memphis, TN
Seattle, WA
Bastrop, TX
Los Angeles, CA
Memphis, TN
Palo Alto, CA
Seattle, WA
Experience
7+ years; no alternative stated.
Education
Bachelor’s degree in computer science, electrical engineering, computer engineering, or another technical discipline.
Visa sponsorship
ITAR eligibility required: U.S. citizen or national, U.S. lawful permanent resident, refugee, asylee, or eligible to obtain required U.S. Department of State authorizations.

About the job

Owns technical implementation, integration, and optimization of customer GPU/CPU compute deployments, from provisioning through ongoing operations.

What you'll do

  • Lead cluster implementation, integration testing, provisioning, and go-live; validate and optimize performance and reliability.
  • Serve as the primary technical contact across customer accounts, handling escalations, troubleshooting, and resolution of technical issues.
  • Coordinate end-to-end delivery with internal teams and customers, including expansion planning, capacity scaling, and risk mitigation.

What they ask for

  • Bachelor’s degree in computer science, electrical engineering, computer engineering, or another technical discipline.
  • 7+ years of hands-on professional experience in large-scale compute, data center, or hyperscale infrastructure environments.
  • Experience leading technical implementations involving GPUs/CPUs and high-performance systems.

Nice to have

  • Master’s degree or higher in a STEM discipline.
  • Experience as a Technical Account Manager, Solutions Architect, or equivalent supporting enterprise or hyperscale compute deployments; familiarity with GPU cluster architectures, AI/ML infrastructure, Linux, orchestration, and monitoring.

Tools

GPUs/CPUs, InfiniBand, RoCE, NCCL, NVLink, GPU Direct RDMA, Linux

AI focus

Supports compute infrastructure powering AI capabilities, including infrastructure for AI/ML training and inference at scale.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)