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Technical Account Manager

Job in Bastrop, Bastrop County, Texas, 78602, USA
Listing for: SpaceXAI
Full Time position
Listed on 2026-07-27
Job specializations:
  • IT/Tech
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

Austin, Texas, United States;
Bastrop, Texas, United States

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands‑on and to contribute directly to the company’s mission.

Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

SpaceXAI was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceXAI is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

Our terrestrial compute infrastructure team delivers high-performance GPU/CPU clusters and related systems to support demanding customer workloads. We are looking for a Technical Account Manager (TAM) / Solutions Architect (Technical Lead) to own the technical success of these deployments. In this role, you will lead technical implementation, integration, and optimization across all customer accounts, ensuring reliable, high-performance compute environments from initial provisioning through steady‑state operations.

This role is part of a high‑velocity team with extremely high expectations. You will apply deep technical expertise to drive customer outcomes in a fast‑paced, autonomously driven, and demanding atmosphere.

RESPONSIBILITIES:
  • Apply expertise to large‑scale compute system development, including design validation, integration, performance tuning, and optimization.
  • Act as the primary technical point of contact for compute infrastructure definition, requirements, and delivery across all customer accounts.
  • Lead technical implementation, integration testing, provisioning, and go‑live activities for GPU/CPU clusters and supporting infrastructure.
  • Provide deep expertise on compute‑specific elements including GPUs/CPUs, high‑performance networking, data center connectivity, and related systems.
  • Handle technical escalations, root‑cause analysis, troubleshooting, and drive resolution to ensure SOW and SLA compliance.
  • Represent compute systems in cross‑functional trades, risk discussions, and issue resolution with internal teams, management, and customers.
  • Interface with Hardware, Network, Facilities, Cloud Compute, SRE, and Program Management teams to ensure successful end‑to‑end delivery.
  • Participate in verification testing, performance characterization, reliability assessments, and continuous optimization.
  • Support expansion planning, capacity scaling, and new use cases across customer accounts.
  • Ensure on‑time deliverables, proactive risk mitigation, and overall mission success for all customers.
BASIC QUALIFICATIONS:
  • Bachelor’s degree in computer science, Electrical Engineering, Computer Engineering, or a related 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
PREFERRED

SKILLS AND EXPERIENCE:
  • Master’s degree or higher in a STEM discipline.
  • Prior experience as a Technical Account Manager, Solutions Architect, or equivalent supporting enterprise or hyperscale compute deployments.
  • Deep knowledge of Infini Band, RoCE, NVIDIA networking technologies (NCCL, NVLink, GPU Direct RDMA), and large GPU cluster architectures.
  • Experience with AI/ML training and inference infrastructure at scale.
  • Strong background in performance tuning, security/compliance implementation, and hybrid/cloud integration.
  • Demonstrated ability to assess risk and make decisions with incomplete data in a fast‑paced environment.
  • Excellent written and verbal communication skills
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