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Member of Technical Staff, Performance Modeling jobs in United States
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Netpreme · 12 hours ago

Member of Technical Staff, Performance Modeling

Netpreme is seeking a Member of Technical Staff, Performance Modeling to develop and apply performance models for silicon and full systems. The role involves working closely with silicon architects and workload teams to evaluate architectural decisions and identify performance bottlenecks in the development cycle.
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Responsibilities

Build and maintain performance models for our silicon, spanning individual components through full networked systems
Evaluate architectural decisions using end-to-end ML workloads, translating model outputs into actionable guidance for the silicon team
Work day-to-day with silicon architects, system designers, and workload owners to align performance expectations and constraints
Develop frameworks and methodologies for performance verification, including sanity checks, model validation, and comparison against empirical data
Identify performance bottlenecks, scaling limits, and sensitivity points across compute, memory, and interconnects
Clearly communicate modeling assumptions, limitations, and conclusions to both technical and non-specialist stakeholders

Qualification

Performance modelingComputer architectureMachine learning workloadsModel validationElectrical EngineeringComputer EngineeringCUDA VMMNVLink

Required

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 computer architectures, accelerators, or high-performance networking systems
Strong comfort working under uncertainty and iterating on models as designs and requirements evolve
Solid understanding of modern machine learning workloads and how they map onto hardware systems
Ability to reason across multiple abstraction layers, from architectural details to system-level performance behavior

Preferred

PhD in Electrical Engineering, Computer Engineering, or a related field
Prior experience modeling performance for ML accelerators and/or ML-focused networking
Familiarity with shared memory systems and frameworks (e.g. CUDA VMM)
Experience with scale-up and high-bandwidth interconnects (e.g. NVLink or similar technologies)

Benefits

Competitive salary commensurate with experience including base salary, performance-based bonus, and early stage equity grant
Comprehensive benefits including health, dental, vision, and life insurance
Well-equipped, sunny offices in Santa Clara, CA and Boston, MA
Relocation assistance and visa sponsorship
Perks include a daily lunch stipend, 401k match, and more
A collaborative, continuous-learning work environment with smart, dedicated colleagues engaged in developing the next generation of architecture for high-performance computing

Company

Netpreme

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Empowering AI Systems with Supreme Networking

Funding

Current Stage
Early Stage
Company data provided by crunchbase