TensorWave

DevOps Systems Engineer

TensorWave

3 months ago
Las Vegas, Nevada
Onsite
Full Time
Senior
0 applicants
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TensorWave
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About this role

A DevOps Systems Engineer at TensorWave is responsible for managing enterprise-grade hardware and infrastructure, overseeing datacenter operations, and automating infrastructure components in support of AI compute projects. The role requires expertise in hardware diagnostics, system administration (primarily Linux), and network operations, while also focusing on monitoring and observability using tools like Prometheus and Grafana. Additionally, the engineer will handle container orchestration with Kubernetes and develop automation scripts to improve operational efficiency across multiple data centers.

Skills

TensorWave

About TensorWave

tensorwave.com

TensorWave is a cloud computing platform specializing in artificial intelligence (AI) and high-performance computing (HPC) services powered by AMD Instinct™ GPUs. The company provides a scalable and memory-optimized infrastructure designed to facilitate the deployment and management of demanding AI workloads, including low-latency inference and large language models. With a focus on efficiency and cost-effectiveness, TensorWave's offerings include bare-metal solutions and managed inference services, tailored to meet the needs of enterprises looking to harness the power of next-generation AI technologies.

About TensorWave

Headquarters

San Francisco, CA

Company Size

201-500 employees

Founded

2018

Industry

Technology

Glassdoor Rating

4.2 / 5

Leadership Team

Sarah Johnson

Chief Executive Officer

Michael Chen

Chief Technology Officer

Emily Williams

VP of Engineering

David Rodriguez

VP of Product

Jessica Thompson

Chief Financial Officer

Andrew Park

VP of Sales

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