Senior Manager, Cluster Engineering – Deployment

🕒 September 15

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🖥 Software Engineer

👻 Ghost score 32%

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TensorWave

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

TensorWave is a cutting-edge AI compute company offering advanced solutions for enterprises focusing on training, fine-tuning, and inference. Powered by AMD's Instinct MI300X accelerators, TensorWave delivers a cost-effective and high-performance alternative to Nvidia's H100 chip. The company provides options for both bare-metal nodes and fully-managed Kubernetes clusters, ensuring ease of use with native support for PyTorch and TensorFlow. TensorWave is committed to data security with SOC2 Type II and HIPAA compliance, making it a reliable partner for businesses requiring dedicated and secure environments.

📋 Description

• Own and run the process that turns delivered racks into accepted clusters • Own the cluster deployment playbook and drive its evolution, including staged bring-up, automated config push, link/optics validation, cabling verification against L1 port maps, and fault triage during deployment windows • Lead deployment engineering across concurrent cluster builds through team leads and on-site engineers • Coordinate daily with Data Center Integration field teams and cabling vendors • Drive deployment velocity engineering by reducing bring-up time through tooling, pre-staging, and defect-source elimination • Set team performance targets • Own defect feedback loops to Network Engineering, Layer One, and vendors, holding partners accountable to resolution • Define spares, test equipment, and deployment tooling requirements per site and standardize them across sites • Own cluster validation end to end, including bandwidth/latency baselines, collective RCCL performance tests, burn-in criteria, and go/no-go acceptance gates

🎯 Requirements

• 10+ years across network deployment, cluster/HPC bring-up, or large-scale infrastructure delivery, including managing engineers in a field/deployment setting • Hands-on fabric bring-up experience at scale (hundreds of switches / thousands of links per deployment) • Strong operational rigor: building and enforcing playbooks, gates, metrics, and blameless defect loops • Team leadership with schedule accountability across multiple concurrent builds or sites • GPU cluster validation experience (NCCL/RCCL benchmarking) preferred • Automation skills (Python, Ansible) applied to deployment preferred • Optics/link-layer debugging depth preferred • Experience with acceptance testing as a commercial gate (revenue-linked) preferred • Authorization to work in the United States is required

🏖️ Benefits

• Stock Options • 100% paid Medical, Dental, and Vision insurance for Employees • Company Health Savings Account Contributions • 100% paid Short Term and Long Term Disability Insurance for Employees • Life and Voluntary Supplemental Insurance Options • Other Insurance Options, such as Pet & Legal Insurance • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support • Flexible Spending Account • 401(k) • Employee Assistance Program • Flexible PTO • Paid Holidays • Parental Leave • Other In-Office Perks