Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Communication @ 6
Networking @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
OpenAI’s Hardware organization develops silicon and system-level solutions for advanced AI workloads. The team builds AI-native silicon and tightly co-designs hardware with software and research partners. This role sits on the Scaling/Hardware teams supporting AI infrastructure and owns material readiness and supply chain execution for critical hardware programs spanning custom silicon, systems, memory, storage, networking, and rack infrastructure.
Responsibilities
- Own end-to-end material readiness across NPI and production phases and build the framework and processes required for enablement.
- Drive supply planning and execution for long lead-time and constrained commodities, including ASICs, HBM, DDR, SSDs, networking, optics, power, thermal, and mechanicals.
- Build and manage material readiness plans aligned to proto/pre-EVT, EVT, DVT, PVT, and mass production schedules.
- Monitor supply health, lead times, inventory positions, allocation risk, and capacity constraints.
- Drive shortage management, allocation mitigation, and recovery planning.
- Coordinate supply commits, forecast alignment, and supply continuity planning with suppliers and manufacturing partners.
- Partner with Engineering to translate product requirements into executable supply chain strategies.
- Drive alignment across Strategic Sourcing, Commodity Management, Manufacturing Operations, Finance, Quality, and Planning.
- Coordinate with ODMs, CMs, and suppliers on material schedules, build readiness, and operational execution.
- Lead material reviews, supply risk assessments, and executive-level program updates; establish governance models and operating cadences.
- Work with suppliers and manufacturing partners to manage supply continuity, supplier accountability, lead times, commits, recovery plans, and escalations.
- Support commercial negotiations through operational and supply chain insights.
- Develop scalable material planning and execution mechanisms, improve forecast management, supply visibility, exception handling, and inventory planning processes.
- Build dashboards and KPI frameworks for supply readiness, shortages, inventory exposure, and operational health; drive continuous improvement initiatives.
Requirements
- Bachelor’s degree in Supply Chain, Engineering, Operations, Business, or related field.
- 8+ years of experience in Supply Chain Program Management, Material Program Management, Commodity Management, Strategic Sourcing, or related hardware supply chain roles.
- Experience supporting complex hardware products through NPI and production ramps.
- Strong understanding of hardware supply chains, material planning, and supplier operations.
- Experience managing constrained supply environments and long lead-time commodities.
- Experience working with ODMs, CMs, and global supplier ecosystems.
- Strong analytical, program management, and executive communication skills.
- Ability to drive cross-functional alignment in ambiguous and fast-moving environments.
Preferred Qualifications
- Experience supporting AI/ML infrastructure, servers, networking, storage, or custom silicon programs.
- Experience with ASIC supply chains, advanced packaging, HBM/DDR memory ecosystems, or hyperscale infrastructure deployments.
- Familiarity with ERP/MRP/PLM systems, BOM structuring, and supply planning tools.
- Experience building supply resiliency and second-source strategies.
- Experience operating in highly constrained and rapidly scaling environments.
Compensation
- Compensation Range: $226K - $285K USD
Benefits
- Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
- Pre-tax accounts: Health FSA, Dependent Care FSA, and commuter expenses (parking and transit).
- 401(k) retirement plan with employer match.
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents) and paid medical/caregiver leave.
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees.
- 13+ paid company holidays and additional company office closures; paid sick/safe time as required by local law.
- Mental health and wellness support; employer-paid basic life and disability coverage.
- Annual learning and development stipend; daily meals in offices and meal delivery credits as eligible.
- Relocation support for eligible employees.
- Additional taxable fringe benefits such as charitable donation matching and wellness stipends.
Notes
- To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements.
- Background checks will be administered in accordance with applicable law. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.
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