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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director AI/ML Driven ASIC Design and Implementation Automation - **Company:** NXP - **Location:** Austin, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Artificial Intelligence, Very-Large-Scale Integration, Artificial Neural Networks, C++ (Programming Language), Computer Programming, Computer Engineering, Data Structures, Software Debugging, Electronic Design Automation, Hardware Description Language, Python (Programming Language), Machine Learning, Software Engineering, Static Timing Analysis, System on a Chip, SystemVerilog, Verilog, VHSIC Hardware Description Language (VHDL), Reinforcement Learning, Application Specific Integrated Circuits, Large Language Models, Git, Information Technology, Vlsi Design, Bitbucket, Front End Software Development, Physical Design, Splunk, Software Version Control, Jenkins - **Published:** August 22, 2026 - **Apply:** https://nxp.wd3.myworkdayjobs.com/careers/job/Austin-Oakhill-Office/Director-AI-ML-Driven-ASIC-Design-and-Implementation-Automation_R-10066364 ## About the Role * BS or MS in Computer Science, Electrical Engineering, Computer Engineering or related disciplines with strong background in SW development * Hands-on expertise in programming using Python/C++ * 7+ years of experience in AI and ML techniques (LLMs, CNN, RNN, and GraphNN) with experience of application to real world optimization problems * Data structures, algorithms, and SW development for optimization problems * Hands on experience in Unix/Linux, revision control (Git, BitBucket), SW development and debug tools * Excellent analytical problem-solving skills * Strong verbal and written communication skills Desirable skills/experience: * Strong understanding of design, layout, constraints (SDC, Clocks, CDC, RDC), Static timing analysis, Low-power, and Power-aware flows (UPF) * Prior experience in VLSI CAD methodology and tool development * Good understanding of HDL: System Verilog, Verilog, VHDL, front-end design, physical design and layout implementation/generation flows and tools * Understanding or prior experience with EDA tools for design, verification, DFT and implementation * Experience with Design revision control (GIT, DesignSync) and Make * Splunk, Jenkins, LSF and CI/CD process ## Description * Explore research ideas and solutions that bring AI/ML applications to VLSI design * Work closely with Academic research communities in AI/ML for VLSI design, Architecture teams, IP and SoC designers and SoC Implementation teams from multiple sites to explore and evaluate for leading edge SoC technologies serving multiple industries * These automation applications include use of GenAI, Reinforcement Learning, Graph Neural Networks, and convolutional Networks * Strong AI/ML expertise, software and CAD background required Cross functional aspects: * In this role, the candidate will work with multiple NXP Engineering teams, including Architecture, IP & SoC design, verification and implementation functions, coordinate and drive groundbreaking initiatives for Digital Transformation. ## Related Videos - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Model to Metal: An Open Source Stack for Accelerating Intelligence](https://www.wearedevelopers.com/videos/1636-from-model-to-metal-an-open-source-stack-for-accelerating-intelligence) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology)