Technical Deployment Lead, Semiconductors - Texas

OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to Semiconductor customers. You will own how solutions are scoped, built, shipped, and adopted across high-value engineering workflows such as RTL design, verification, and physical implementation.

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; Ability to simplify complex and dynamic work; Ability to move fluidly between system level understanding and execution level detail; Ability to dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems; Strategic thinking and pattern-matching; Strong technical fluency and sharp sequencing instincts; Experience shipping AI/LLM systems; Ability to make complex technical trade-offs legible to business leaders; Executive presence; Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher); Travel between 25-50% required; Deep technical project management expertise; Extreme ownership of outcomes

Nice to have

Experience in customer engagements involving AI