Performance Architect

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is looking for a CPU Cluster Performance Architect to help shape the performance and scalability of our next-generation CPUs. You’ll focus on how multiple CPU cores work together as a cluster — from cache hierarchies and coherent interconnects, to memory bandwidth and overall system behavior. This is a hands-on architecture role for someone who enjoys using performance models and simulation to understand bottlenecks, explore tradeoffs, and influence decisions early in the design process. You’ll work closely with CPU architects, RTL designers, software and compiler teams, and system architects to understand workload behavior and turn performance insights into architectural improvements. If you enjoy looking at the entire cluster and how performance scales across cores, memory systems, and chiplets, this is an opportunity to have a significant impact. This role is remote, based out of North America. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You have a strong foundation in CPU microarchitecture and performance, with an understanding of how cores, caches, interconnects, and memory systems interact. You enjoy using modeling,

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is building next-generation processors and systems, bringing together world-class expertise across silicon, systems, and software. We are looking for a CPU Performance Modeling Architect to help evaluate, shape, and optimize the performance of future CPU architectures. In this role, you’ll use performance modeling, workload analysis, and deep understanding of CPU architecture to answer complex questions about how a processor should be designed. You’ll work closely with CPU architects, RTL designers, software and compiler teams, and system engineers to identify performance opportunities, evaluate architectural tradeoffs, and turn modeling insights into actionable design decisions. This role is hybrid, based out of Santa Clara, CA or Austin, TX. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A CPU architect, performance architect, or performance modeling engineer with experience influencing CPU architecture or microarchitecture decisions. You have a strong understanding of modern processor architecture and enjoy digging into why a CPU performs the way it does. You are comfortable combining hardware architecture, software, data, and

NVIDIA builds the silicon behind AI, accelerated computing, and graphics. Every watt of performance and every degree of thermal headroom traces back to decisions made in power, performance, and thermal architecture. We are the Silicon Co-Design Group (SCG). We identify, own, and drive system-level co-design ideas. We start with initial concepts and advance to product differentiation across NVIDIA's roadmap. We are hiring a Principal System Power Management and Performance Architect who operates at the ambiguous boundary where workload behavior, silicon capabilities, firmware policies, and platform constraints collide, and who turns that ambiguity into architecture that survives across multiple silicon generations. SCG scope spans architecture, design, software, operations, platforms, and productization. This role shapes system, platform, and data center features and behavior, and partners with teams across NVIDIA. What You'll Be Doing: The work here is rarely well-defined when it arrives. You will be given problems that appear to be performance gaps or power anomalies and encouraged to build a framework for solving them, not just tackle a single instance. Define the multi-generation roadmap for system-level power and performance features, grounded in prototyping, use-case analysis, and cost/benefit trade-offs across segments. You will decide what problems are worth solving and why. Own the architecture and integration strategy for HSIO power management, DVFS, P-states, and low-power features. Your decisions improve product performance, power, and reliability across product lines — not just the current program. Lead system-level boot and IST architecture defining how power and clock domains initialize, sequence, and recover across complex multi-IP systems where the interaction space is large and the failure modes matter. Drive power management strategy at data

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. About the role: Roblox is a rich ecosystem encompassing varied product categories across nearly all platforms (mobile, desktop, console, VR, etc.). Keeping our app performant, scalable, and reliable requires a robust technical architecture to empower thousands of engineers to build at scale. As the Senior Product Manager for this space, you’ll drive the creation of foundational systems like our multi-process architecture, resource management systems, and key observability frameworks that power the heart of the Roblox App. You will: Understand, influence, and expand the company’s thinking on central themes like Performance, Reliability, and Maintainability, working together with partner teams on App Performance and Infra Reliability to accomplish shared goals. Define the capabilities and inner workings of critical systems like our process lifecycle manager, asset download orchestrator and critical observability frameworks like our sessionization system. Drive a multi-year roadmap to modernize our App Architecture across key themes like modularization, network resiliency, and resource efficiency. Dive deep into problem spaces with Engineering to ideate new systems to scale our App.&nbsp

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. At Tenstorrent, we’re building cutting-edge hardware and software solutions that power AI, HPC, and general-purpose workloads. As a Performance Architect on our Platform Architecture team, you’ll work across ML software stacks, compilers, CPU design, cache coherency protocols, and interconnect fabrics to shape the future of high-performance systems. This role is all about bridging software execution and silicon design—making data-driven decisions that directly influence our SoC performance. This role is remote, based out of The United States. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Passionate about solving complex system-level performance problems. Comfortable working across hardware and software boundaries. Analytical and data-driven, with a talent for turning workloads into architectural insights. Collaborative, thriving in cross-functional teams spanning compilers, CPU, and interconnect. Excited to shape the future of AI/HPC platforms through performance architecture. What We Need BS/MS/PhD in EE, ECE, CE, or CS Deep understanding of NoC topologies, routing algorithms, QoS, and traffic scheduling. Expertise in cache coherenc

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. About the Role EnCharge AI is seeking a Senior NPU Architect to join our Architecture Team. In this role, you will collaborate with a team of NPU and system architects, hardware engineers, and software teams to define and optimize key features in our AI accelerator with the cutting-edge in-memory computing technology. You will contribute to designing a holistic AI HW/SW solution that has the best performance and efficiency on the market for the latest AI/ML workloads, such as LLMs, diffusion models, CNNs, and more. Responsibilities Define and develop the spec, architecture, and micro-architecture of key architecture modules (such as the in-memory compute unit, on-chip network, and memory orchestration units) based on the requirements of the workloads and software deployment flow Contribute to the modeling of aforementioned key architecture modules in our C++ simulation framework to ensure a functional implementation of the features Collaborate with the design verification team to deliver a strategy and infrastructure for the testing of the architecture features within said modules Work with the software team and other architects to analyze the performance and efficiency of the architecture modules for key workloads, identify performance bottlenecks, and guide architectural decisions Stay up to date with the latest trends and research in AI workloads, architectures, an