
Job Overview
Location
San Francisco
Job Type
Full-time
Category
Engineering
Date Posted
May 10, 2026
Full Job Description
đź“‹ Description
- • As a Design Verification Engineer on OpenAI’s Forward Deployed Engineering team, you will serve as a senior technical subject matter expert in semiconductor design verification, helping translate AI capabilities into production-grade systems that reduce design cycles and improve verification quality across the chip design lifecycle.
- • Day to day, you will act as the verification SME for semiconductor deployments, shaping AI-assisted workflows for test generation and debug, curating evaluations with customer SMEs, building lightweight prototypes and tooling, mentoring the broader FDE team on verification methodology, and partnering during customer discovery to translate pain points into technical solution hypotheses.
- • You will join a specialized team that embeds deeply with leading semiconductor companies to deploy AI systems across design, verification, and physical design, turning high-touch engagements into scalable solutions, evaluation practices, and technical playbooks that advance the entire ecosystem.
- • In this role, you will deepen your expertise in AI-assisted verification while growing into a customer-facing, systems-building Forward Deployed Engineer, gaining ownership of technical workstreams, solution architecture, and deployment outcomes as you help bridge frontier AI research with real-world semiconductor engineering challenges.
🎯 Requirements
- • BS/MS in EE, CE, CS, or equivalent with 5+ years of experience in design verification for complex IP, subsystem, or SoC programs
- • Demonstrated success verifying complex hardware systems in industry-standard flows, with deep familiarity in block-, subsystem-, and/or top-level verification methodologies
- • Strong hands-on expertise in SystemVerilog, UVM, and common simulation/debug tools such as VCS, Questa, Verdi, or equivalent
- • Strong understanding of constrained-random verification, directed testing, scoreboards, checkers, monitors, stimulus generation, regression infrastructure, and coverage analysis
- • Strong knowledge of computer architecture, RTL/microarchitecture, memory systems, coherency, interconnects, and verification methodology
- • Experience defining verification plans, triaging bugs, and driving debug and root-cause analysis in close partnership with design teams
- • Strong scripting and automation skills in Python or similar; experience building verification tooling, harnesses, or workflow automation is a plus
- • Comfortable operating as a consultative expert who can shape technical direction, evaluate solution quality, and raise the bar across multiple deployments
- • Excited to grow beyond domain SME responsibilities into a broader Forward Deployed Engineering role, including hands-on solution building, customer-facing delivery, and ownership of deployment outcomes
🏖️ Benefits
- • Opportunity to work at the intersection of AI and semiconductor innovation, deploying production-grade AI systems across the chip design lifecycle
- • Chance to shape AI-assisted workflows for test generation, regression triage, debug, and coverage closure in real-world engineering environments
- • Ability to build reusable evaluation practices, technical playbooks, and solution patterns that scale across the semiconductor ecosystem
- • Professional growth from a deep technical SME role into a customer-facing Forward Deployed Engineer with ownership of deployment outcomes
- • Collaboration with leading semiconductor companies and OpenAI’s research and product teams to translate frontier AI capabilities into tangible engineering impact
- • Access to OpenAI’s mission-driven culture focused on safe and beneficial AI development, with commitment to equity, inclusion, and reasonable accommodations
Skills & Technologies
About OpenAI, Inc.
OpenAI is a San Francisco-based artificial intelligence research and deployment company founded in 2015. It develops large-scale AI models such as GPT, DALL-E, and Codex, providing cloud APIs and consumer applications like ChatGPT. Originally established as a non-profit, it later created a capped-profit subsidiary to attract capital while maintaining its mission to ensure artificial general intelligence benefits all of humanity.
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