TensorWave
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.
Headquarters
Las Vegas, Nevada, United States
Company Size
1-10 employees
Founded
2023
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.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
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
View leadership team, funding history,
and employee contacts for TensorWave.
TensorWave didn’t post a salary, so this is our estimate from similar listings.
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