AI Memory Systems Performance Architect

CyberCoders; Santa Clara (CA); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Relocation assistance and visa sponsor

Daily lunch stipend

Equity grant

Health, dental, vision, and life

401k

Job summary

CyberCoders in Santa Clara, CA (with Boston, MA option) seeks a Member of Technical Staff, Performance Modeling to develop models for a fabric-attached memory expansion device for AI accelerators. You will collaborate with silicon architects and workload teams to explore tradeoffs, validate assumptions, and uncover bottlenecks early in design.

The role emphasizes reasoning from first principles, working with incomplete information, and co-exploring the design space as hardware and software

Qualifications

• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a closely related field.
• 5–10+ years of experience in performance modeling for data movement devices (NICs, memory expansion cards like CXL, IPU/DPU, NoC).
• Ability to learn new ML architectures quickly and build performance models for them.
• Ability to reason across multiple abstraction layers, from architecture to system-level performance.

Responsibilities

• Build and maintain system-level performance models for a high-bandwidth data movement device in the scale-up domain.
• Model workload from software memory access patterns to data distribution in the network and to on-device memory channels.
• Collaborate with silicon architects, system designers, and workload owners to align performance expectations.
• Identify bottlenecks, scaling limits, and sensitivity points across compute, memory, and interconnects in end-to-end workloads.
• Clearly communicate modeling assumptions, limitations, and conclusions to technical and non-specialist stakeholders.

Skills

AI Memory Systems

Performance Modeling

Memory Expansion

Memory Systems Architecture

ML Systems

CUDA Memory Management

Education

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a closely related field

Tools

CUDA

Job description

CyberCoders in Santa Clara, CA (with Boston, MA option) seeks a Member of Technical Staff, Performance Modeling to develop models for a fabric-attached memory expansion device for AI accelerators. You will collaborate with silicon architects and workload teams to explore tradeoffs, validate assumptions, and uncover bottlenecks early in design.

The role emphasizes reasoning from first principles, working with incomplete information, and co-exploring the design space as hardware and software