Semiconductor AI Deployment Lead

Slope; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Relocation assistance

Job summary

OpenAI’s Forward Deployed Engineering team in San Francisco is seeking a Technical Deployment Lead to define how complex AI deployments are scoped, built, shipped, and adopted with semiconductor customers.

You will own delivery end-to-end across RTL design, verification, and physical implementation, embedding with customer teams to ensure on-time readiness and adoption, with a 25–50% travel expectation and relocation support. The role operates in a hybrid model with 3 days in the office.

Qualifications

• 7+ years of customer-facing technical delivery leadership.
• Deep expertise in semiconductor workflows: RTL design, verification, EDA tooling, and physical implementation.
• Proven track record leading large, high-stakes engagements, ideally involving AI.
• Ability to operate in high ambiguity and simplify complex problems.
• Ability to map customer workflows to scalable, reusable solutions; strong sequencing.

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 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.

Skills

Customer-facing delivery leadership

Semiconductor workflows

RTL design

Verification

EDA tooling

Physical implementation

Job description

OpenAI’s Forward Deployed Engineering team in San Francisco is seeking a Technical Deployment Lead to define how complex AI deployments are scoped, built, shipped, and adopted with semiconductor customers.

You will own delivery end-to-end across RTL design, verification, and physical implementation, embedding with customer teams to ensure on-time readiness and adoption, with a 25–50% travel expectation and relocation support. The role operates in a hybrid model with 3 days in the office.