What you'll doAs 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. This role turns workload requirements into architecture decisions and, ultimately, high-performance software on silicon.
Required Skills and Experience- Strong mathematical background, particularly in linear algebra, probability, numerical methods, and quantitative performance analysis.
- Strong 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.
- Language: English at a proficient level.
Responsibilities- Develop fast, flexible performance models to evaluate AI accelerator architecture choices and guide early design decisions.
- Work closely with the software team to characterize key AI workloads, kernels, dataflows, and system bottlenecks.
- Work closely with hardware architects to model compute, memory, interconnect, and scheduling behavior across proposed architectures.
- Drive rapid performance studies and trade-off analyses across throughput, latency, utilization, bandwidth, and efficiency.
- Help define and validate the programming model and workload mapping strategy for the accelerator.
- Following architecture definition, work hands-on with the software team to optimize compute kernels and key workloads for the target hardware.
- Build lightweight simulation, profiling, and analysis tools that support fast iteration from architecture exploration through software optimization.
Nice to have- Strong industry knowledge about AI hardware, GPUs, memory generations, 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: analog computing, in-memory computing, heterogeneous systems.
Pay and benefits- Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions.
- Meaningful stock option plan offered (included in the majority of full time offers).
- Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays.
- Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive.
We look forward to hearing how you can help shape the future of AI at Arago.
