Director of Infrastructure Operations

Cognichip; Redwood City (CA); On-site; USD 180,000 - 300,000; Full time

Benefits offered by this job

Early-stage equity

Competitive compensation package

Collaborative culture

Job summary

Cognichip in Redwood City seeks a Director of Infrastructure Operations to own GPU capacity planning, compute economics, and long-range infrastructure strategy, bridging Finance and Engineering to build end-to-end economic models and investment decisions.

You will drive CapEx/OpEx, develop dashboards, and align infrastructure with business goals while collaborating with Finance, Engineering, and leadership to unlock scalable AI compute.

Qualifications

• Experience in data-center economics, capacity planning, or cost engineering.
• Strong understanding of unit economics, CapEx/COGS modeling, and depreciation.
• Advanced modeling in Excel or Google Sheets.

Responsibilities

• Lead multi-year GPU capacity planning and demand forecasting.
• Build fully loaded cost models and unit-economics metrics for compute infrastructure.
• Evaluate buy/lease/cloud infrastructure decisions and build supporting business cases.
• Translate capacity needs into CapEx/OpEx and cost-of-goods impacts.
• Partner with Finance on operating plans and long-range forecasts.
• Build models and dashboards for capacity, utilization, and cost visibility.
• Serve as the key liaison between Engineering and Finance on infrastructure economics.

Skills

Data-center economics

Capacity planning

Cost engineering

Excel/Sheets modeling

Finance liaison

Education

Bachelor’s degree in Economics/Engineering/Computer Science/Operations Research

Tools

Google Sheets

Job description

Job Summary

The Director of Infrastructure Operantions will own GPU capacity planning, compute economics, cost engineering, and long-range infrastructure strategy - sitting at the intersection of Finance and Engineering. This person will build the end-to-end economic model of compute, drive infrastructure investment decisions, and manage relationships and proposals across the infrastructure supply chain.

Job Title

Director of Infrastructure Operations

Job Summary

The Director of Infrastructure Operantions will own GPU capacity planning, compute economics, cost engineering, and long-range infrastructure strategy - sitting at the intersection of Finance and Engineering. This person will build the end-to-end economic model of compute, drive infrastructure investment decisions, and manage relationships and proposals across the infrastructure supply chain.

Key Responsibilities

• Lead multi-year GPU capacity planning and demand forecasting
• Build fully loaded cost models and unit-economics metrics for compute infrastructure
• Evaluate buy/lease/cloud infrastructure decisions and build supporting business cases
• Translate capacity needs into CapEx/OpEx and cost-of-goods impacts
• Partner with Finance on operating plans and long-range forecasts
• Build models and dashboards for capacity, utilization, and cost visibility
• Serve as the key liaison between Engineering and Finance on infrastructure economics

Required Experience

• 10+ years in data-center economics, capacity planning, or cost engineering
• Background in large-scale compute, cloud, AI/ML, GPU, semiconductor, or data-center environments
• Strong grasp of unit economics, CapEx/COGS modeling, and depreciation
• Advanced Excel/Google Sheets modeling skills
• Bachelor’s degree in Economics, Engineering, Computer Science, Operations Research, or a related field.

Preferred Experience

• MBA or Master’s degree in a technical or quantitative field
• Experience at a GPU cloud provider, hyperscaler, or semiconductor company
• Familiarity with GPU clusters, networking, and storage infrastructure

What We Offer

• A pivotal role shaping Cognichip's compute strategy and infrastructure economics from the US HQ
• Direct partnership with Finance, Engineering, and business leadership
• Work at the intersection of AI, semiconductors, and infrastructure, solving high-impact economic and technical problems
• Competitive compensation package, including early-stage equity in a fast-growing AI startup
• A high-trust, low-ego team culture that values ownership, curiosity, and collaboration