Member of Staff

Wafer•San Francisco, CA
•Onsite

About The Position

Wafer is building AI systems that automatically optimize inference workloads across silicon. The Member of Staff role connects compute infrastructure and hardware economics to business decisions. The position works across GPU architecture, supplier contracts, and financial modeling to determine which compute configurations make economic sense and how capacity should scale. The role operates on-site in San Francisco five days a week as part of a small team with broad ownership. It offers autonomy in solving problems and involves working directly with engineering, finance, and suppliers. The work is intended to inform decisions about the compute Wafer runs, its cost, and how the company scales.

Requirements

  • Understand compute beyond the spec sheet, including how GPU architecture, memory, networking, and software affect the cost of serving a real workload.
  • Be exceptional with numbers and able to build clear financial models, challenge assumptions, and explain the difference between profit and cash.
  • Have roughly 1–5 years of relevant experience.
  • Be credible with engineers and commercially sharp with suppliers.
  • Ask precise questions and follow details through to a decision.
  • Be able to work independently on loosely defined problems, identify relevant information, and produce concrete answers.

Nice To Haves

  • A background in compute infrastructure, semiconductors, finance, or investing.

Responsibilities

  • Work with engineering and finance to understand which models and hardware configurations are profitable and what affects their economics.
  • Build models connecting inference performance, utilization, pricing, compute costs, and cash requirements.
  • Evaluate GPU supply and supplier proposals, comparing price, availability, contract length, deposits, reliability, and flexibility.
  • Help source and negotiate capacity, and track whether delivery and performance match agreements.
  • Translate changing demand and hardware economics into capacity decisions.
  • Investigate discrepancies across usage, invoices, and contracts, and build systems to keep the related numbers reliable.

Benefits

  • Fully covered medical, dental, and vision insurance.
  • Daily lunch and dinner.
  • Unlimited PTO.
  • Parental leave.
  • $1,000 per month post-tax housing stipend if living within walking distance (0.5 miles) of the office.
  • Covered Uber or Waymo rides to and from the office.
  • Visa sponsorship available.
  • Equity.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service