TensorWave

Network Development Engineer

TensorWave

3 months ago
Remote
Full Time
Medior
0 applicants
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TensorWave
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About this role

A Network Development Engineer at Tensorwave Cloud is responsible for designing and building scalable automation systems for large-scale AI network fabrics. This role requires a blend of networking expertise and software engineering skills to create custom fabric management applications, integrate NetBox as a source of truth, and develop CI/CD pipelines for network changes. Key technologies include Python, Go, or Rust, along with experience in Ansible, Kubernetes, and managing large Ethernet fabrics. The engineer will also contribute to validation, testing, and lifecycle management workflows to support AI innovation.

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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