Network Development Engineer
TensorWave(1 month ago)
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.
Required Skills
- Network Deployment
- Automation Design
- Fabric Management
- NetBox Integration
- Validation Workflows
- CI/CD Development
- Ethernet Fabric Support
- Python Expertise
- Go Expertise
- Rust Expertise
+16 more
About TensorWave
tensorwave.comTensorWave 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.
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