2 дня назад
Senior AI Solution Architect (AI)
170 500 - 315 490$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Solution Architect (AI accelerators and cloud infrastructure): Designing, validating, and optimizing AI accelerator systems and cloud infrastructure for large-scale machine learning workloads with an accent on platform bring-up, hardware integration, and full-stack debugging. Focus on diagnosing PCIe, memory, and interconnect issues, building automated validation frameworks, and leading cross-functional platform readiness.
Location: On-site in Hillsboro, Oregon, United States
Annual salary: $170,500–$315,490 USD
Company
Intel designs and manufactures silicon products, AI accelerator platforms, and connected computing technologies.
What you will do
- Design and optimize Gaudi and GPU accelerator systems for production machine learning workloads.
- Lead platform bring-up, validation, and integration for next-generation AI hardware.
- Debug PCIe, memory subsystem, interconnect, firmware, and software issues across AI clusters.
- Develop automated testing frameworks, monitoring solutions, diagnostic tools, and system health APIs.
- Collaborate with OEM vendors and hardware, firmware, and software teams on BMC integration and platform readiness.
- Mentor junior engineers and data center technicians while leading technical decisions and architectural improvements.
Requirements
- Bachelor’s degree with 6+ years, master’s degree with 4+ years, or PhD with 2+ years in computer science, electrical engineering, or a related field.
- 5+ years of experience in system engineering, platform validation, or related roles.
- 3+ years of experience bringing up and debugging high-performance AI clusters.
- 3+ years of experience resolving complex system-level issues in production AI/ML environments.
- 3+ years of experience designing, validating, and deploying AI clusters in production.
- On-site work in Hillsboro, Oregon, United States is required.
Nice to have
- Experience with Intel Xeon or Gaudi platforms, GPUs, or other AI accelerators.
- Expert-level Python and familiarity with vLLM, PyTorch, TensorFlow, and OpenMPI.
- Linux/Unix administration, Docker, shell scripting, Redfish, IPMI, and BMC management.
- Knowledge of PCIe, memory subsystems, computer architecture, platform security, and AI/ML workload optimization.
Culture & Benefits
- Competitive compensation with stock bonuses.
- Health, retirement, and vacation benefits.
- Commitment to ethical hiring and responsible business practices.
- No recruitment, medical examination, or other employment-related fees are charged to candidates.
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