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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Development Leader - **Company:** GF U.S. Inc. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $193,000.0 - $319,000.0 - **Contract:** Permanent contract - **Skills:** Reference Implementation, Artificial Intelligence, Software Documentation, Computer Engineering, Graph Database, Python (Programming Language), Machine Learning, Natural Language Processing, Performance Tuning, OpenAI, Tensorflow, Software Engineering, Retrieval-Augmented Generation, Prompt Engineering, Llamaindex, Containerization, AI Platforms, Git Flow, Information Technology, HuggingFace, Machine Learning Operations, Model Inference - **Published:** October 8, 2026 - **Apply:** https://globalfoundries.wd1.myworkdayjobs.com/External/job/Santa-Clara/Software-Development-Leader_JR-2603686 ## About the Role * Minimum 15 years of experience in Software Engineering, with at least 5+ years in engineering leadership roles (managing managers or leading multi-team organizations) * Demonstrated success building and scaling engineering organizations delivering AI/ML-driven platforms in a production environment * Strong technical fluency with Python and modern machine learning frameworks, sufficient to guide architecture decisions and evaluate technical tradeoffs with senior ICs * Deep understanding of AI platform concepts (transformers, embeddings, fine-tuning, model deployment) and their application to enterprise platforms * Experience owning AI inference pipelines or training workflows across cloud environments and containerized platforms at organizational scale * Track record of driving large language model strategy across cloud architectures (multi-modal experience strongly preferred) * Experience setting engineering standards for Git workflows, containerization, ML pipelines, and automation across a distributed team * Strong grounding in vector databases, RAG systems, knowledge graphs, prompt engineering, or AI platform optimization - enough to direct technical strategy, even if not hands-on daily * Proven experience partnering with platform architecture teams and driving cross-functional alignment at the executive level * Executive-level communication skills, with experience presenting technical strategy and business impact to senior leadership and customers Preferred Qualifications: Master's or PhD in Computer Engineering, Computer Science, or related field OR 18+ years in Software Engineering/related field with progressive leadership scope. · Familiarity with AI-native technologies and platforms (OpenAI, Anthropic, Hugging Face) and how to evaluate them at an organizational level · Experience establishing MLOps practices and model automation standards across multiple teams · Experience directing retrieval-augmented generation strategy (LangChain, LlamaIndex, or custom RAG architectures) · Experience in semiconductor, EDA, or related deep-tech industries · Exceptional stakeholder management, organizational design, and change-management skills · Strong strategic planning and business acumen, with experience tying engineering investment to customer and revenue outcomes ## Description * Own the strategic vision and multi-year roadmap for the AI-driven silicon design platform, translating enterprise goals into an execution plan across NLP, vector databases, knowledge graphs, ML pipelines, and RAG/multi-modal systems * Build, lead, and scale a high-performing organization of engineering managers and senior engineers, setting technical direction while developing the next generation of engineering leadership * Drive architectural decisions at the platform level, partnering with principal engineers and architects to ensure scalability, security, and performance across GPU, cloud, and containerized environments * Establish and govern MLOps standards, model lifecycle management, and AI monitoring practices across the organization, ensuring consistent quality and cost efficiency at scale * Serve as the executive-level interface between engineering, design/verification/performance teams, and customer-facing stakeholders - prioritizing the roadmap based on customer feedback, business impact, and technical feasibility * Own the security posture of the platform from the ground up, partnering with security and compliance teams to embed best practices into the development lifecycle * Represent the platform organization to executive leadership and key customers, communicating strategy, progress, and risk in business terms * Drive vendor and partner evaluations (cloud providers, AI platform vendors, tooling) and own build-vs-buy decisions that shape the platform's technical foundation * Own budget, headcount planning, and resource allocation for the organization * Champion documentation standards and reference implementation quality that customers rely on, ensuring the org delivers on rapid IP query integration for customer evaluation and development Other Responsibilities: * Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.