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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Systems Architect (Models & Hardware Co-Design - **Company:** Auradine, Inc. - **Location:** Austin, TX, United States - **Salary:** $200,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Application Frameworks, Cloud Computing, Program Optimization, Hardware Design, Machine Learning, Mathematical Software, Tensorflow, Software Engineering, Software Requirements Analysis, Systems Architecture, Extensible Markup Language (XML), Reinforcement Learning, Pytorch, Deep Learning, Information Technology - **Published:** September 12, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-systems-architect-models-hardware-co-design-austin-tx--94b3cfcc-5c66-4647-b70d-7ac55dc5b93c ## About the Role Required Qualifications Strong understanding of modern machine learning architectures, including transformers and related model families. Solid grounding in the mathematical foundations of machine learning, optimization, and deep learning algorithms. Experience working with ML frameworks such as PyTorch, JAX, or TensorFlow. Ability to analyze model computation graphs and translate them into efficient dataflows and compute patterns. Experience with AI model training and inference workflows. Strong systems thinking and ability to work across software, algorithms, andhardware. Preferred Qualifications Experience with hardware-software co-design or AI accelerator architecture. Familiarity with model optimization techniques such as quantization, sparsity, pruning, or distillation. Experience implementing or optimizing AI models for specialized hardware platforms. Exposure to emerging AI model architectures beyond transformers (e.g., world models, continuous-time networks, reinforcement learning systems). Experience working with robotics, autonomous systems, or embodied AI applications., Affirmative Action, Algorithms, Analysis Skills, Architectural Services, Artificial Intelligence (AI), Benchmarking, Cloud Computing, Compensation and Benefits, Computer Systems, Deep Learning, Diversity, Hardware Architecture, Hardware Design, JAX (Java API for XML), Machine Learning, Math Software, Mathematical Modeling, Mathematics, Mobile Devices, Performance Management, Performance Modeling, Problem Solving Skills, Reinforcement Learning, Robotics, Sales Prospecting, Semiconductors, Software Design, System Architecture, Unmanned Aircraft Systems (UAS) ## Description We are looking for an AI Systems Architect who sits at the intersection of machine learning models and hardware architecture. In this role, you will work across model development, algorithms, and hardware architecture to identify and shape the AI workloads that will define the next generation of compute platforms. You will evaluateemerging model architectures, understand their training and inference characteristics, and help translate them into efficient hardware implementations. This role requires someone who is comfortable moving between mathematical models, software frameworks, and hardware architecture, and who enjoys solving problems at theboundary between disciplines. Responsibilities Analyze modern AI model architectures including transformers and emerging alternatives to understand their computational and system requirements. Evaluate model suitability for different application domains and help determine which model architectures are best matched to specific workloads. Work closely with hardware architects to translate model requirements into efficient silicon implementations. Identify opportunities to modify or optimize models, algorithms, or dataflows to improve performance, efficiency, or scalability in hardware. Understand training and inference pipelines for modern AI models and identify implications for hardware design. Develop performance and efficiency models to guide architectural decisions. Collaborate with software and hardware teams to ensure that models can be deployed efficiently on new compute platforms. Stay current with emerging AI model research and identify opportunities where new architectures may benefit from specialized hardware. ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [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) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)