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# Compute Architect, SI 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, Discretization, Information Technology, Modeling and Simulation, Hardware Acceleration, Machine Learning Operations, Physical Design, GPT
- **Published:** October 15, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/87899144/1

## 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 SI/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 SI/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 SI compute demands
 * Maintain expertise in the latest advancements in SI workloads, domain-specific languages (e.g., for ML optimization), computer architecture principles, and advanced simulation methodologies