TensorWave provides a cloud platform optimized for AI workloads, delivering high-performance compute through AMD MI300X, MI325X, and MI355X accelerators. The platform supports end-to-end machine learning pipelines, including training, fine‑tuning, and inference, enabling teams to accelerate model development and deployment. By focusing exclusively on AI workloads, TensorWave offers tailored infrastructure and simplified integration that reduces operational complexity compared to general‑purpose cloud services. Its emphasis on cutting‑edge AMD hardware and cloud‑native orchestration makes it a preferred choice for organizations seeking scalable, cost‑effective AI solutions.
Open Positions
Vice President, Engineering
10+ years of engineering leadership, experience with large-scale compute systems, and exceptional communication skills
Head of Customer Operations
7+ years of customer success experience, 5+ years of people management experience, proven track record of leading customer success at scale, and strong technical fluency with cloud computing, GPU architecture, and AI/ML workloads
Kubernetes Architect
8+ years of experience in cloud infrastructure, DevOps, or platform engineering, 4+ years of hands-on Kubernetes experience, and proficiency in writing Kubernetes manifests and custom controllers/operators
DevOps Systems Engineer
Proven experience managing enterprise-grade hardware, strong understanding of out-of-band management systems, hands-on expertise with monitoring systems, solid knowledge of network administration, Linux system administration experience, and experience with filesystems and bare metal provisioning
Executive Assistant
3+ years of experience in an EA or chief-of-staff–style role, strong organizational and communication skills, discretion and good judgment
Head of Recruiting
10+ years of recruiting experience, deep expertise in technical recruiting, and strong business acumen required
Kubernetes Platform Engineer
2–4 years experience in DevOps, SRE, or Linux infrastructure roles, 1+ years of hands-on experience with Kubernetes in production, familiarity with networking, CNI plugins, and core Linux troubleshooting
Site Reliability Engineer
5+ years of experience in DevOps, Site Reliability, or Infrastructure Engineering, deep experience with Linux systems, and proficiency in low-level languages
Fullstack Engineer
5+ years of fullstack engineering experience, strong proficiency in Node.js, Go, Python, MongoDB, React, Next.js, and TypeScript, and experience building real-time dashboards and monitoring tools
ML Cluster Operations Engineer
5+ years of experience in cloud infrastructure, HPC, or machine learning roles, significant hands-on experience with Slurm, strong knowledge of distributed ML languages and frameworks, and understanding of node lifecycle
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