Power AI workloads with AMD Instinct™ GPUs. Scale models faster with high-performance, dedicated cloud compute.
About the role
TensorWave operates AMD Instinct GPU clusters across multiple U.S. data center sites. As we scale, the ability to see, forecast, and commit capacity with confidence is a core competitive advantage. The Head of GPU Capacity Planning owns that picture.
What they're looking for
- 5+ years in capacity planning, supply and demand planning, S&OP, technical program management, or infrastructure operations, ideally in cloud, data center, or hardware-intensive environments
- Working knowledge of data center and compute infrastructure fundamentals: racks, power and cooling constraints, servers and GPUs, and networking, with the ability to reason about both physical and logical capacity
- Advanced modeling skills and comfort building forecasting and allocation models, strong data fluency (SQL and BI tools a plus)
- A track record of working across Sales, Finance, and Operations, translating technical constraints into commercial guidance that others can act on
- Excellent written communication and the discipline to run a recurring operating cadence and produce clear, trusted reporting
- Experience in GPU cloud, HPC, hyperscale, colocation, or semiconductor capacity environments
More about this role
Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
TensorWave operates AMD Instinct GPU clusters across multiple U.S. data center sites. As we scale, the ability to see, forecast, and commit capacity with confidence is a core competitive advantage. The Head of GPU Capacity Planning owns that picture.
This person elevates our existing capacity planning processes, drives capacity planning end to end, and maintains a single, authoritative view of the fleet: what we have, what is committed, what is held in reserve, and what is available to sell. They partner closely with Sales to guide sellable capacity, work across active deals to keep commitments feasible, and establish a weekly cadence so capacity is tracked and defended every week rather than reconstructed after the fact. They also translate operating pain into clear tooling requirements that improve how the whole company plans capacity.
If remote, candidate...
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