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Arago is building next-generation AI accelerators by fusing optical and CMOS technologies to deliver order-of-magnitude performance improvements. As Architecture Modeling Engineer, you will own performance modeling and workload analysis for Arago's optical AI accelerator, working across hardware and software teams to evaluate design choices, shape the programming model, and optimize key compute kernels.
You will develop fast, flexible performance models to evaluate AI accelerator architecture choices and guide early design decisions. Working closely with the software team, you will characterize key AI workloads, kernels, dataflows, and system bottlenecks. You will collaborate with hardware architects to model compute, memory, interconnect, and scheduling behavior across proposed architectures, driving rapid performance studies and trade-off analyses across throughput, latency, utilization, bandwidth, and efficiency.
Key responsibilities include defining and validating the programming model and workload mapping strategy for the accelerator, then working hands-on with the software team to optimize compute kernels and key workloads for the target hardware. You will build lightweight simulation, profiling, and analysis tools that support fast iteration from architecture exploration through software optimization.
Required qualifications: strong mathematical background in linear algebra, probability, numerical methods, and quantitative performance analysis; deep knowledge of computer architecture including compute pipelines, memory hierarchies, interconnects, and parallel execution; strong C/C++ and Python programming skills; experience analyzing and optimizing performance-critical kernels or low-level compute workloads; good understanding of AI/ML workloads, tensor operations, data movement, and common execution patterns; ability to work across hardware and software teams and translate workload behavior into architecture and software requirements; proficient English.
Nice-to-have skills include strong industry knowledge about AI hardware, GPUs, memory generations, and rack-scale computing; experience building performance models, simulators, or analytical models for CPUs, GPUs, NPUs, or other accelerators; experience with profiling, benchmarking, and identifying hardware or software performance bottlenecks; experience in novel computing architectures such as analog computing, in-memory computing, or heterogeneous systems.
Arago is backed by leading deep-tech investors and industry leaders including the CEO of Arm, the founder of macOS, an Nvidia Fellow, and the Head of Optics at Google. The company operates with three core values: do great things, move with high velocity, and operate as one unit.
