Infrastructure Capacity Planner, Demand Planning
Anthropic · San Francisco, CA | New York City, NY · Software Engineering - Infrastructure · listed August 11, 2026
The shape of it
Seniority
Not stated
Where
Hybrid
Stated pay
$320,000 – $405,000 USD
Requirements listed
3
Length
1,070 words
In the posting’s own words
As an Infrastructure Capacity Planner on the Demand Planning team, you'll own the medium-range demand forecast for every resource class we consume: accelerators, CPU, storage, network, and managed services. Your forecast will support sourcing and purchasing, prioritization, efficiency targets, and workload optimization.
What it asks for · 3
- Direct experience with cloud or neocloud providers on reserved-capacity onboarding, private offers, or capacity commitments.
- Experience with accelerator health and burn-in, collective-communications sanity testing, or fleet-health SLOs, and the ability to define healthy rigorously.
- Experience building lifecycle or state-machine services, or systems of record for infrastructure assets.
Also a plus
- Direct experience with cloud or neocloud providers on reserved-capacity onboarding, private offers, or capacity commitments.
- Demand planning or forecasting experience for accelerator fleets, including translating research or product roadmaps into resource requirements.
- Data center or colocation delivery experience: power and space planning, network turn-up, site acceptance criteria, and vendor management.
- Experience with accelerator health and burn-in, collective-communications sanity testing, or fleet-health SLOs, and the ability to define healthy rigorously.
- Experience building lifecycle or state-machine services, or systems of record for infrastructure assets.
- Experience onboarding a new hardware generation into an existing scheduler and observability stack.
What the job covers
- Build and own the medium-range multi-resource demand forecast: accelerators by chip/interconnect class, CPU by shape, storage by tier and access pattern, egress by path, managed services by SKU — driven by model roadmap, RL/inference growth, eval volume, and retention policy rather than trend lines.
- Run the plan-vs-reality loop. Diff planned allocations against observed fleet occupancy weekly, surface unrecorded trades and stale allocations, and drive variance toward zero with our planning-tools and data teams.
- Qualify each incoming capacity tranche against the forecast before signature: right shape, region, quarter, and supporting-resource envelope (storage, egress, CPU).
- Partner with Finance and cost-efficiency teams to turn the forecast into core drivers covering the large majority (≥80%) of non-accelerator spend, and to aim savings work where waste will appear next.
Tools and skills named
Go to market
- Forecasting2×
Languages
- Python
- SQL
Models & research
- GPU
- Inference
Cloud & infra
- Observability
Data
- Pandas
Operations & finance
- Vendor management
Product & design
- Roadmap
Ways of working
- Testing
Words the posting leans on
- capacity8×
- forecast8×
- experience6×
- planning6×
- demand5×
- accelerator4×
- every4×
- infrastructure4×
- storage4×
- allocations3×
- build3×
- cloud3×
- cpu3×
- data3×
- egress3×
- fleet3×
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