Lead the AI layer that makes our chip-design platform smarter than the competition.About NativechipsNativechips (NC) is a US-based company with teams in the US and Cairo, building an AI-augmentedplatform for chip design. We work across proprietary and open-source EDA stacks, applying AI/ML tomake chip design faster and more accessible. We deliver platforms to IDMs and offer self-serve PaaS to design teams worldwide. We're a small, senior team — every hire shapes the product and the company.About the roleWe're hiring a Senior AI/ML Engineer to lead AI strategy and implementation across the company. You'll work on two intertwined areas: (1) AI-augmentation of digital EDA flows — ML/RL for synthesis,placement, routing, verification; and (2) generative AI features in our PaaS platform — LLM-powereddesign assistants, automation, and intelligent recommendations. You'll partner with our ASIC andPlatform engineers, and grow the AI function alongside a Junior AI engineer who joins shortly after.What you'll doDefine AI strategy across digital EDA flows and PaaS platform featuresDesign and implement AI/ML approaches for digital EDA problems (RL for placement, ML forsynthesis QoR)Build LLM-powered features for PaaS (assistants, code generation, EDA scripting, RAG overdesign data)Work with both proprietary (Synopsys, Cadence, Siemens) and open-source EDA tools as AI integration targetsMentor and grow a Junior AI/ML Engineer who joins in M2Contribute to research direction and publish/present where appropriateOwn end-to-end: from research idea to deployed featureWhat we need from you6+ years ML engineering with a track record of shipped production models or impactful researchStrong Python and modern ML frameworks (PyTorch, JAX, HuggingFace)Production LLM deployment experience (RAG, fine-tuning, evaluation)Familiarity with EDA concepts (synthesis, placement, routing) — or strong interest and aptitudeto learnExperience leading or mentoring other ML engineersMSc/PhD in CS, EE, or related; equivalent industry experience acceptedBonus points forPublished work in ML-for-EDA (DAC, ICCAD, ML4PS, etc.)Experience at an EDA vendor (Cadence, Synopsys, Siemens), foundry, or chip design houseRL or graph neural network experienceProduction experience deploying ML models in latency-sensitive environmentsTrack record of building and growing AI/ML teams from early stagesWhy NativechipsDirect impact on product direction and engineering culture from day oneWork alongside a senior, founder-led team with deep semiconductor industry experienceCairo-based engineering team with US headquarters; remote-friendly working modelCompetitive compensation with meaningful stock options for early hiresWork on technically substantial problems — not maintenance workLocation: Cairo-based, remote-friendly