Staff Performance Modeling Engineer, Dojo

Tesla's Dojo Machine Learning team is seeking a Staff Performance Modeling Engineer to lead the development and optimization of chip and system level simulation infrastructure for AI training workloads. This role combines cutting-edge AI technology with high-performance computing, focusing on developing microarchitecture simulations for massively parallel machines. The position offers an opportunity to work on complex systems modeling at Tesla, a leader in automotive innovation and AI development.

The role involves collaborating with architects and engineers to create and validate sophisticated simulation models for AI training systems, including core architecture, memory hierarchy, and interconnects. You'll be responsible for performance correlation and debugging of hardware implementations, while maintaining high-quality software frameworks and tools.

The ideal candidate should bring strong expertise in computer architecture, simulation development, and AI workloads, with at least 3 years of relevant experience. Technical proficiency in C++ and Python programming, along with a deep understanding of CPU/GPU microarchitecture, is essential. The position offers competitive compensation ranging from $120,000 to $360,000 annually, plus comprehensive benefits including medical, dental, vision coverage, and various family-support programs.

Working at Tesla's Palo Alto location, you'll be part of a team pushing the boundaries of AI and computing technology, with access to cutting-edge resources and the opportunity to contribute to revolutionary advancements in automotive and AI technology. The role combines technical depth with collaborative teamwork, making it ideal for someone passionate about high-performance computing and complex systems modeling.