# Technical Deployment Lead, Semiconductors

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Solutions Architecture
**Salary:** $198k – $294k/yr
**Experience:** 7+ years
**Skills:** Rtl Design, Verification, Eda Tooling, Physical Implementation, Ai/Llm Systems, Technical Project Management, Customer Engagement, Solutions Architecture, Production Deployment, Workflow Mapping
**Posted:** 2026-06-08

> Own technical delivery for complex AI deployments to Semiconductor customers. Lead cross-functional execution, embed with customer teams, and drive adoption of AI capabilities across RTL design, verification, and physical implementation workflows.

## Job Description

## Responsibilities
- Own the technical delivery plan for multiple interdependent work streams, translating customer objectives into a roadmap with milestones, dependencies, and acceptance criteria.
- Run day-to-day engineering execution by tracking and driving delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.
- Embed with Semiconductor customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan.
- Shape production deployments that integrate with customer infrastructure, data systems, and engineering toolchains, including export-controlled environments.
- Partner with Product and Research so platform components and research work streams land in time to support deployment goals.
- Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.
- Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.
- Help define how OpenAI engages Semiconductor customers.

## Requirements
- 7+ years of customer-facing technical delivery leadership.
- Deep expertise in Semiconductor workflows, including RTL design, verification, EDA tooling, and physical implementation.
- Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI.
- Excel in high ambiguity environments. Know how to simplify complex and dynamic work.
- Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems.
- Think strategically and pattern-match. Able to step back from execution detail, recognize broader trends across deployments, and connect customer needs to scalable, reusable solutions.
- Strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs.
- Have shipped AI/LLM systems. Understand solution patterns, integration basics, and production pitfalls.
- Translator with executive presence. Make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution.
- Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher).

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