X AI

1 week ago

Technical Account Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Own the technical success of GPU/CPU cluster deployments for customer accounts. Lead implementation, integration testing, provisioning, and go-live from initial provisioning through steady-state operations, serving as the primary technical point of contact. Apply deep expertise across compute, GPUs/CPUs, high-performance networking, and data center connectivity, driving performance tuning, troubleshooting, and risk mitigation to ensure SOW/SLA compliance.

Location: Los Angeles, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Lead technical implementation, integration testing, provisioning, and go-live activities for GPU/CPU clusters and supporting infrastructure.
•Serve as the primary technical point of contact for compute infrastructure definition, requirements, and delivery across customer accounts.
•Drive performance tuning and optimization through design validation, performance characterization, reliability assessments, and continuous improvements.
•Handle technical escalations, perform root-cause analysis, troubleshoot issues, and drive resolution to ensure SOW and SLA compliance.
•Collaborate with cross-functional teams (Hardware, Network, Facilities, Cloud Compute, SRE, Program Management) and support expansion planning, capacity scaling, and new use cases.

Travel: Medium travel

Key Requirements

•Bachelor’s degree in computer science, Electrical Engineering, Computer Engineering, or a related technical discipline.
•7+ years of hands-on experience in large-scale compute, data center, or hyperscale infrastructure environments.
•Experience leading technical implementations involving GPUs/CPUs and high-performance systems.
•Master’s degree or higher in a STEM discipline.
•Deep knowledge of InfiniBand, RoCE, NVIDIA networking technologies (NCCL, NVLink, GPU Direct RDMA), and large GPU cluster architectures.

Experience:7+ yearsHyperscale infrastructureData centerAI/ML training

Education:Bachelor's

Skills:CommunicationPrioritizationRisk assessmentDecision-makingProblem-solving

Languages:English

Tech Stack:GPUsCPUsInfiniBandRoCENVIDIA networking technologiesNCCLNVLinkGPU Direct RDMALinuxOrchestration toolsInfrastructure monitoringHigh-performance networkingHybrid/cloud integrationAI/ML trainingInference infrastructure

Eligibility

Nationality:US National

Company Brief

X AI

Develops advanced artificial intelligence models and research aimed at building safe, general AI and understanding the fundamental nature of the universe. Focuses on large-scale AI systems, research publications, and building foundational AI capabilities.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Headquarters: San Francisco, United States

Founded: 2023

Website

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X AI

1 week ago

Technical Account Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Los Angeles, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Lead technical implementation, integration testing, provisioning, and go-live activities for GPU/CPU clusters and supporting infrastructure.
•Serve as the primary technical point of contact for compute infrastructure definition, requirements, and delivery across customer accounts.
•Drive performance tuning and optimization through design validation, performance characterization, reliability assessments, and continuous improvements.
•Handle technical escalations, perform root-cause analysis, troubleshoot issues, and drive resolution to ensure SOW and SLA compliance.
•Collaborate with cross-functional teams (Hardware, Network, Facilities, Cloud Compute, SRE, Program Management) and support expansion planning, capacity scaling, and new use cases.

Travel: Medium travel

Key Requirements

•Bachelor’s degree in computer science, Electrical Engineering, Computer Engineering, or a related technical discipline.
•7+ years of hands-on experience in large-scale compute, data center, or hyperscale infrastructure environments.
•Experience leading technical implementations involving GPUs/CPUs and high-performance systems.
•Master’s degree or higher in a STEM discipline.
•Deep knowledge of InfiniBand, RoCE, NVIDIA networking technologies (NCCL, NVLink, GPU Direct RDMA), and large GPU cluster architectures.

Experience:7+ yearsHyperscale infrastructureData centerAI/ML training

Education:Bachelor's

Skills:CommunicationPrioritizationRisk assessmentDecision-makingProblem-solving

Languages:English

Eligibility

Nationality:US National

Company Brief

X AI

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Headquarters: San Francisco, United States

Founded: 2023

Website