24 hours ago
Base Salary
$195k - $276k/yr
Responsibilities
- Develop high-performance GEMM, convolution, and attention kernels for AI workloads.
- Design scalable JIT and code-generation infrastructure for GPU kernel generation.
- Implement fusion, memory-traffic, mixed-precision, and quantized execution optimizations.
- Build performance models and profile oneDNN GPU primitives and runtime paths to eliminate bottlenecks.
- Co-design GPU primitives and kernel architectures with hardware and compiler teams for next-generation Intel GPUs.
- Improve validation, benchmarking, and CI infrastructure for performance-critical GPU workloads.
Requirements
- BSc, MSc, or PhD in Computer Science, Computer Engineering, Mathematics, Physics, or a highly technical related field.
- 5+ years of professional software development experience with expert-level modern C++.
- 2+ years of hands-on GPU programming and kernel optimization using SYCL/DPC++, OpenCL, CUDA, or HIP, or at least 5+ years of comparable low-level CPU performance optimization.
- Strong foundations in computer architecture, cache hierarchies, memory subsystems, and parallel programming paradigms.
- Preferred experience developing high-performance math libraries such as GEMM, convolution, reduction, or FFT kernels.
- Preferred hands-on experience with GPU assembly-level tuning or compiler optimization.
- Preferred familiarity with OpenMP or oneTBB.
- Preferred basic understanding of deep learning primitives and how upstream frameworks use library code.
Benefits
- Competitive pay, stock bonuses, quarterly bonuses, healthcare, retirement, and vacation benefits.
- Hybrid work model allowing employees to split time between the assigned Intel site and off-site work.
- Primary locations are Hillsboro, Oregon, and Santa Clara, California.
About Intel
Intel is a public semiconductor company that designs and manufactures CPUs and other silicon for PCs, servers, networking, edge, and embedded systems, and also offers foundry services plus AI and graphics accelerators. Founded in 1968 and headquartered in Santa Clara, it sells primarily to OEMs, cloud providers, and device makers worldwide. Its portfolio includes x86 processors (Core and Xeon), Ethernet and chipset products, and the Mobileye autonomous driving platform.