AI Network Solutions Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Network Solutions Engineer (AI): Developing and optimizing next-generation AI infrastructure solutions with an accent on networking, disaggregated memory, and high-performance data pipelines. Focus on benchmarking emerging technologies, building large-scale simulation environments, and collaborating with hardware/software teams to solve complex AI data center challenges.
Location: Must be based in Santa Clara, CA
Salary: $94,160–$141,000 per annum
Company
is a leading semiconductor company providing essential data infrastructure solutions across enterprise, cloud, and AI architectures.
What you will do
- Research and benchmark emerging AI infrastructure technologies against internal solutions.
- Analyze workload performance metrics including latency, throughput, and resource utilization.
- Develop simulation environments to model large-scale AI/ML configurations.
- Partner with hardware, software, and IC design teams to build scalable AI/ML infrastructure.
- Provide technical support for products and act as a bridge between customers and internal teams.
- Stay current with advancements in generative AI and hardware innovation trends.
Requirements
- Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- 0–2 years of relevant experience.
- Proficiency in C, C++, Rust, Python, and ARM/x86 assembly.
- Solid understanding of Linux kernel internals and networking.
- Strong foundation in computer architecture and networking protocols like TCP/IP and RDMA.
- Must be eligible to access export-controlled information under U.S. law.
Nice to have
- Experience with network device drivers and frameworks like DPDK.
- Knowledge of GPU/DPU/FPGA programming and XPU architectures.
- Familiarity with advanced protocols like RoCE and NVMe over Fabrics.
- Experience with simulation tools such as NS-3, HTSim, or ASTRA-sim.
Culture & Benefits
- Comprehensive financial well-being programs including an employee stock purchase plan.
- Robust mental health resources and family support programs.
- Recognition and service awards to celebrate employee contributions.
- Commitment to professional growth and leadership development.
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