Senior GPU Kernel Development Engineer
San Jose, CA$194.4kFull-timePosted 1w ago
About the role
Senior technical member responsible for designing, developing, and optimizing high-performance GPU kernels for LLMs and other ML models, with architecture-aware optimizations and collaboration across GPU architecture, compiler, library, and framework teams.
Responsibilities
- Architect and Optimize AI Workloads: Lead the optimization of LLMs, quantized models, and emerging AI workloads for AMD GPU architectures.
- Develop High-Performance GPU Kernels: Design, implement, profile, and optimize GPU kernels, with a strong focus on maximizing hardware utilization and application performance.
- Drive Performance Analysis: Perform deep performance characterization across compute, memory bandwidth, cache hierarchy, synchronization, kernel scheduling, and execution efficiency to identify and eliminate bottlenecks.
- Advance Compiler and Code-Generation Technologies: Develop compiler-level optimizations and code-generation techniques using LLVM, MLIR, and related technologies to achieve portable and scalable GPU performance.
- Innovate with AI-Assisted Development: Apply AI techniques to create next-generation tools for code generation, debugging, performance analysis, kernel optimization, and engineering productivity.
Qualifications
- Strong C++ skills
- Strong understanding of GPU compute, memory hierarchy, cache behavior, synchronization, and performance bottlenecks.
- Strong experience developing and optimizing GPU kernels using HIP, CUDA, C/C++, or similar technologies.
- Strong analytical/problem-solving skills and pronounced attention to details
- Must be a self-starter, and able to independently drive tasks to completion
- Bachelors or Masters degree in electrical or computer engineering
Skills
Required:C++GPU kernel developmentHIP/CUDA/C/C++ for GPUPerformance analysis
Nice to have:LLVM/MLIR
Last updated Oct 15, 2026. Interested? Apply on the company site.
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