xAI

Technical Account Manager

Reposted 2 Days Ago

Be an Early Applicant

2 Locations

In-Office

Senior level

Information Technology

The Role

Own technical success of large-scale GPU/CPU cluster deployments: lead implementation, integration, performance tuning, troubleshooting, verification testing, capacity planning, and cross-functional coordination to meet SOW/SLA requirements.

Summary Generated by Built In

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 InfiniBand, 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 with the ability to interface effectively with customers and internal stakeholders.
Hands-on experience with Linux environments, orchestration tools, and infrastructure monitoring.

ADDITIONAL REQUIREMENTS:

Ability to work extended hours and weekends as needed during critical implementation, testing, and incident response periods.
Willingness to travel (up to 25%) to data center sites and customer locations.
Must be comfortable operating with extreme ownership in a demanding, high-expectation environment.

This role offers the opportunity to drive cutting-edge terrestrial compute infrastructure that powers next-generation AI capabilities for a key strategic partner. If you thrive on ownership and technical excellence, we encourage you to apply.

ITAR REQUIREMENTS:

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Skills Required

Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or related technical discipline
7+ years 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
Excellent written and verbal communication skills; ability to interface effectively with customers and stakeholders
Ability to work extended hours and weekends as needed during critical implementation, testing, and incident response
Willingness to travel up to 25% to data center sites and customer locations
Must meet ITAR eligibility (U.S. citizen or national, lawful permanent resident, refugee, asylee, or eligible for Dept. of State authorization)
Prior experience as a Technical Account Manager, Solutions Architect, or equivalent supporting enterprise or hyperscale compute deployments
Deep knowledge of InfiniBand, RoCE, NVIDIA 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
Hands-on experience with Linux environments, orchestration tools, and infrastructure monitoring