AI System Performance Architect
Intel · Posted Oct 26
Semiconductor manufacturing, microprocessors, data center solutions, and artificial intelligence infrastructure
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About the role
The role owns end-to-end understanding of AI training and inference systems at Intel, sitting where serving strategy, parallelism, collective communication, and interconnect behavior come together. Through analytical modelling and multi-GPU simulation, the team translates SLA and deployment targets into architectural guidance for Intel's future AI platforms. The architect will build performance models, model inferencing strategies across frameworks such as vLLM and SGLang, and present findings and configuration recommendations to engineering and leadership teams.
What you will do
- Own end-to-end understanding of the AI training/inference system and build analytical models and multi-GPU simulation - including MPI/collective communication (allgather, allreduce, all-to-all) and interconnect contention - to project performance, expose architectural bottlenecks, and recommend optimal Intel system configurations.
- Model inferencing strategies - static batching, continuous batching, disaggregated serving, and chunked prefill - across frameworks such as vLLM and SGLang, covering agentic inferencing, prefix caching, and multi-turn flows.
- Cover data, pipeline, tensor, and expert parallelism and their communication patterns.
- Drive studies against SLA targets - batch size, TTFT, TPOT, ISL/OSL, and TPS.
- Analyse regression run traces and find patterns in utilization counters across SLA operating points to identify architectural bottlenecks.
- Perform what-if analysis by sweeping core count, memory/cache capacity and bandwidth, fabric bandwidth, GPU interconnect, and deployment options; deliver optimization and optimal architecture recommendations.
- Scout whitepapers, blogs, and conferences; keep self and team updated on AI innovations applicable to Intel's end-to-end system.
Skills used in this role
What the employer is looking for
- Bachelor's, master's or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Bachelors with 8+ yrs, master’s with 6+ years and Ph.D. with 3+ years of experience in system performance modelling, AI workload analysis, or hardware architecture.
- Strong proficiency in Python, with the ability to build modular, maintainable analytical models and simulation frameworks.
- Solid understanding of LLM inference and training mechanics: prefill vs. decode, KV cache, batching policies, and quantization.
- Working knowledge of distributed parallelism strategies and their communication patterns.
- Familiarity with multi-GPU interconnect architectures (NVLink, PCIe, CXL, or equivalent).
- Understanding of SoC and platform fundamentals: core count scaling, cache/memory capacity and bandwidth, and fabric behavior.
Preferred qualifications
- Experience building discrete-event simulators for multi-node or multi-accelerator systems.
- Familiarity with performance profiling tools (e.g., Intel VTune, NVIDIA Nsight, or similar).
- Prior experience in a semiconductor or hardware company working on AI accelerator or platform products.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Intel
Intel Corporation is a global technology leader focused on the design and manufacturing of microprocessors, integrated circuits, and advanced data center infrastructure. The company drives innovation across personal computing, artificial intelligence, and cloud ecosystems while operating a major semiconductor foundry business. Intel delivers foundational silicon and packaging solutions that power modern digital infrastructure worldwide.
- Industry
- Semiconductors
- Company size
- 10001+ employees
- Founded
- 1968
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Leadership
Lip-Bu Tan
Chief Executive Officer
Executive Vice President and Chief Financial Officer
Pushkar Ranade
Chief Technology Officer and Chief of Staff to the CEO
Executive Vice President – Chief Technology and Operations Officer, General Manager Intel Foundry
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