GPU Architecture and AI Performance Simulation Engineer

Intel, India, Bangalore

The role

We are looking for a talented and motivated GPU Architecture and AI Performance Simulation Engineer. The role sits at the intersection of AI workloads and next-generation GPU hardware - analyzing, modeling, and optimizing AI workload performance on GPU and SoC architectures to shape architectural decisions across current and future silicon. The candidate will guide the team in fine-tuning workload, SoC, and system models, propose data-backed architectural enhancements, and track the AI GPU market to inform Intel's future accelerator roadmap.

What you need

Required Qualifications

Bachelor's with 10+ yrs, master’s with 8+ years and Ph.D with 5+ years of experience in System/GPU/SoC performance engineering, AI workload analysis, or hardware architecture.
Deep knowledge of GPU microarchitecture (NVIDIA SM/CUDA cores, Intel Xe cores, or equivalent), GPU execution pipelines, and cache hierarchy design (L1/L2/L3).
Familiarity with SoC design principles, on-chip fabric, memory subsystems, and interconnects.
Experience with multi-GPU system architectures (NVLink, PCIe, CXL, or equivalent) and scaling AI workloads across multiple devices.
Good understanding of distributed training/inference techniques: Tensor Parallel, Data Parallel, Pipeline Parallel, Expert Parallel, and Model Split methodologies.

Good-to-Have Skills

Experience with cycle-accurate simulators or hardware performance emulation platforms.
Familiarity with AI framework internals (PyTorch, JAX, TensorFlow) and kernel-level optimization (CUDA, SYCL, HIP, Triton).
Exposure to LLM inference optimization techniques (quantization, KV-cache management, speculative decoding).
Experience with performance profiling tools (e.g., NVIDIA Nsight, Intel VTune, AMD ROCProfiler, or similar).
Publications or patents in GPU architecture, AI systems performance, or related areas.

We're looking for talented individuals excited to solve complex challenges and shape the future of platform architecture. If you're ready to make an impact and contribute to Intel's success, we encourage you to apply today.

Job Type

Experienced Hire

Shift

Shift 1 (India)

Primary Location

India, Bangalore

Additional Locations

Posting Statement

Position of Trust N/A

Work Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

GPU Architecture and AI Performance Simulation Engineer

The role

GPU Architecture and AI Performance Simulation Engineer

The role

What you will do

What you need

Required Qualifications

Good-to-Have Skills

Job Type

Shift

Primary Location

Additional Locations

Posting Statement

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