SW Solutions Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
SW Solutions Engineer (AI): Onboarding, measuring, and optimizing AI and non-AI workloads on DCG platforms (CPU, GPU, NPU) with an accent on performance, quality, and efficiency. Focus on building automated benchmarking pipelines, identifying system bottlenecks, and collaborating with stakeholders to optimize edge and cloud deployments.
Location: On-site presence required in Hillsboro, Oregon or Phoenix, Arizona, USA
Salary: $149,750.00 - $275,580.00 USD
Company
's Data Center Group (DCG) provides Xeon-based solutions and custom x86 products for general-purpose compute, HPC, and AI-accelerated systems.
What you will do
- Onboard and optimize the performance and efficiency of AI and non-AI workloads on CPU, GPU, and NPU platforms.
- Conduct performance evaluations using benchmarks to measure latency, throughput, and memory usage.
- Analyze performance data to identify bottlenecks and create detailed reports and visualizations.
- Develop automated benchmarking pipelines to ensure reproducible and scalable results.
- Collaborate with internal and external stakeholders to implement system optimizations.
Requirements
- Bachelor's degree in CS, Electrical Engineering, or STEM with 5+ years of experience (or Master's with 3+ years).
- Hands-on experience with hardware bring-up, BIOS configuration, and network setup.
- Proficiency in Python and shell scripting.
- Experience with performance tools (e.g., Linux perf) and Linux OS.
- Knowledge of container technologies like Kubernetes and Docker.
- Understanding of Ethernet and networking.
Nice to have
- Understanding of Vision AI, Gen-AI, VLM, and VLA.
- Experience with ML frameworks such as PyTorch, OpenVINO, vLLM, or TensorFlow.
- Proven experience in AI benchmarking and evaluation.
Culture & Benefits
- Competitive total compensation package including pay and stock bonuses.
- Comprehensive benefit programs covering health, retirement, and vacation.
- Opportunity to work within the Data Center Group (DCG) transforming the data center segment.
- Exposure to cutting-edge x86 leadership and AI-accelerated systems.
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