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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Compute Architect, AI Hardware - **Company:** Tesla Motors - **Location:** Palo Alto, CA, United States - **Salary:** $176,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, C++ (Programming Language), Computer Engineering, Distributed Systems, Python (Programming Language), Machine Learning, System on a Chip, Pytorch, Large Language Models, Deep Learning, Information Technology, Modeling and Simulation, Hardware Acceleration, Machine Learning Operations, Physical Design, GPT - **Published:** August 1, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17771478?backUrl=%2Fcareer%2F17771478%2FAi-Compute-Architect-Ai-Hardware-California-Palo-Alto ## About the Role * Degree in Electrical Engineering, Computer Science, Computer Engineering, or a related field, or equivalent in experience and evidence of exceptional ability * Deep knowledge of CPU, GPU, and ML accelerator microarchitectures, including their design principles and performance characteristics * Strong understanding of Large Language Models (LLMs), transformer-based architectures, and techniques for their training, inference, quantization, and optimization * Proficiency in analyzing physical design constraints, including power, performance, and area (PPA) tradeoffs in hardware systems * Exceptional problem-solving abilities, with a track record of dissecting complex technical challenges and devising innovative, practical solutions * Hands-on experience with deep learning frameworks like PyTorch, JAX, Pallas, or similar tools for model development and optimization * Excellent interpersonal and communication skills, enabling effective collaboration across diverse teams, from leadership to individual contributors * Prior experience in performance analysis, including the use of simulation frameworks (e.g., gem5, SST) to model and benchmark systems * Ability to work on-site at Tesla's Palo Alto office, contributing to a fast-paced, collaborative environment * Proficiency in programming languages such as C/C++ and Python, with applications in hardware simulation, modeling, or system-level software ## Description As a key member of the Tesla AI hardware team, the AI/ML Compute Architect will drive the innovation and optimization of computing architectures tailored for artificial intelligence and machine learning applications. This role involves visionary hardware-software co-design, accelerator development, and distributed systems engineering to create efficient, scalable solutions that power cutting-edge AI workloads. The ideal candidate is a strategic thinker with proven expertise in balancing performance, power, and scalability, delivering simple yet high-impact implementations that accelerate Tesla's AI initiatives. What You'll Do * Design and architect comprehensive end-to-end compute infrastructure for AI/ML pipelines, encompassing hardware specifications, system topologies, and custom accelerators * Collaborate closely with system architects, micro architects, IP vendors, and program management to guide SoC (System-on-Chip) development from initial concept through to production-ready implementation * Optimize the interplay between compute, storage, and interconnect to maximize throughput, minimize latency, and reduce energy consumption across training and inference scenarios * Partner with ML model designers, compiler engineers, and software developers to build intuitive tools, frameworks, and abstractions that streamline the deployment and scaling of AI/ML workloads * Lead performance modeling initiatives, simulating architecture and microarchitecture tradeoffs to inform design decisions and predict system behavior under real-world conditions * Evaluate emerging technologies, such as novel accelerators or interconnect fabrics, and prototype innovative architectures to anticipate and address evolving AI compute demands * Maintain expertise in the latest advancements in AI workloads, domain-specific languages (e.g., for ML optimization), computer architecture principles, and advanced simulation methodologies ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [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) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [The Future of Computing: AI Technologies in the Exascale Era](https://www.wearedevelopers.com/videos/1106-the-future-of-computing-ai-technologies-in-the-exascale-era) ## 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) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [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)