Senior GPU Kernel Development Engineer

Amd

Confirmed live today High trust

Quick summary

Work type: On-site
Location: San Jose, CA
Salary: $194,400–$291,600 / yr
Posted: 13 days ago
Freshness: Confirmed live today
Closes: Oct 14, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $211k

This role $243k

$146k $307k

below market most similar roles pay here above market

This role pays more than 80% of similar roles. Most pay $185,337–$235,750 — the blue band above. At the midpoint, this role pays about $243k versus about $211k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 496 open roles on FindRole.

Listed pay typically runs $172,000–$258,000 across 496 roles with salary data.

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At a glance

TL;DR · Senior GPU Kernel Development Engineer

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The Senior GPU Kernel Development Engineer will serve as a senior technical member of the team, designing, developing, and optimizing high-performance GPU kernels for LLM and other ML models. The role involves analyzing performance bottlenecks to develop architecture-aware optimizations that maximize compute efficiency and memory bandwidth utilization. Key responsibilities include architecting AI workloads, performing deep performance characterization across cache hierarchies and synchronization, and advancing compiler-level optimizations. The candidate will utilize C++, HIP, CUDA, LLVM, and MLIR to build scalable solutions for current and next-generation platforms. This position requires a deep understanding of GPU compute, memory hierarchy, and kernel scheduling to solve complex performance challenges in AI model execution. The role also involves using AI techniques to create next-generation tools for debugging and kernel optimization.

Skills

GPU Programming C++ HIP CUDA LLVM MLIR GPU Kernels Performance Analysis Quantized Models LLM System Software Development Code Generation Memory Hierarchy Cache Hierarchy Synchronization

What you'll do

Design, implement, and profile high-performance GPU kernels for LLM and ML models.
Optimize AI workloads and quantized models for AMD GPU architectures.
Analyze performance bottlenecks across compute, memory bandwidth, cache hierarchy, and kernel scheduling.
Develop compiler-level optimizations and code-generation techniques using LLVM and MLIR.
Create AI-assisted tools for code generation, debugging, and performance analysis.
Provide technical leadership to define goals and own development efforts for key projects.
Maximize hardware utilization and application performance through architecture-aware optimizations.

What we're looking for

Bachelor's or Master's degree in electrical or computer engineering.
Strong experience in GPU programming, performance analysis, and system software development.
Experience designing, implementing, and optimizing GPU kernels for LLM and other ML models.
Experience developing compiler-level optimizations and code-generation techniques using LLVM and MLIR.
Strong C++ skills (preferred).
Strong experience developing and optimizing GPU kernels using HIP, CUDA, C/C++, or similar technologies (preferred).
Strong understanding of GPU compute, memory hierarchy, cache behavior, synchronization, and performance bottlenecks (preferred).
Strong analytical/problem-solving skills and pronounced attention to details (preferred).

2+ yrs exp

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