14 дней назад
Member of Technical Staff, Functional and Performance Modeling (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Member of Technical Staff, Functional and Performance Modeling (AI): Building functional and performance models for a scale-up network-attached memory expansion device for AI accelerators with an accent on high-bandwidth data movement, workload behavior, and memory subsystems. Focus on identifying bottlenecks and scaling limits across compute, memory, and interconnects while co-exploring hardware and software design tradeoffs.
Location: On-site in Santa Clara, CA or Boston, MA
Company
is an early-stage company developing high-performance computing infrastructure to improve the efficiency and capability of AI systems.
What you will do
- Build and maintain system-level, rack-scale, and chip-level performance models for high-bandwidth data movement between scale-up devices.
- Model workloads from software memory access patterns through network data distribution to on-device memory channels.
- Collaborate with silicon architects, system designers, and workload owners to align performance expectations and constraints.
- Identify performance bottlenecks, scaling limits, and sensitivity points across compute, memory, and interconnects.
- Communicate modeling assumptions, limitations, and conclusions to technical and non-specialist stakeholders.
Requirements
- 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 such as NICs, CXL memory expansion cards, IPUs/DPUs, or NoCs.
- Ability to reason across multiple abstraction layers, from architectural details to system-level performance behavior.
- Experience exploring design tradeoffs, validating performance assumptions, and identifying bottlenecks early in development.
- On-site work is required from the Santa Clara or Boston office.
Nice to have
- Experience modeling networking protocols with memory semantics.
- Familiarity with shared memory systems and frameworks such as CUDA VMM.
- Knowledge of AI/ML workloads, including large language model inference, sharding, KV caching, and continuous batching.
- Experience with scale-up and high-bandwidth interconnects such as NVLink, as well as memory subsystem modeling.
Culture & Benefits
- Performance-based bonus and early-stage equity grant.
- Employer-paid health, dental, vision, life, disability, and AD&D insurance.
- 401(k) match with immediate vesting, fitness stipend, wellness benefits, and mental health support.
- 20 vacation days, 15 company holidays, including three floating holidays, plus a daily lunch stipend.
- Enterprise-level Claude and ChatGPT access, well-equipped offices, on-site parking, and EV charging.
- Collaborative, continuous-learning environment focused on rigor, clarity, first-principles thinking, and high-performance computing architecture.
Hiring process
- Visa sponsorship and relocation assistance are available for relocation to one of the office hubs.
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