Senior Compiler Software Development Engineer, AI/ML

Amd

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: San Jose, CA
Salary: $240,000–$360,000 / yr
Posted: 78 days ago
Freshness: Confirmed live yesterday
Closes: Aug 10, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k

This role $300k

$127k $385k

below market most similar roles pay here above market

This role pays more than 99% of similar roles. Most pay $162,000–$231,362 — the blue band above. At the midpoint, this role pays about $300k versus about $197k 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 Compiler Software Development Engineer, AI/ML

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Senior Compiler Software Development Engineer - AI/ML joins the AI Software organization to drive compiler and performance optimizations for AI training and inference workloads on AMD GPU platforms. The role involves designing and optimizing compiler transformations and operator lowerings within MLIR, LLVM, and the ROCm software stack. Key responsibilities include implementing ONNX operators, developing scalable solutions for GPU architectures, and leading performance optimization for reinforcement learning and fine-tuning. The engineer will analyze workload execution to improve compute efficiency and memory utilization across pre-silicon and post-silicon environments. Required skills include proficiency in C++, GPU programming technologies like HIP, CUDA, or Triton, and experience with MLIR or LLVM. The position focuses on solving complex optimization challenges at the intersection of compiler technology, machine learning frameworks, and GPU architecture.

Skills

C++ MLIR LLVM ROCm ONNX Runtime HIP CUDA Triton GPU Programming AI/ML Performance Engineering Linux Git Profiling

What you'll do

Design and optimize compiler transformations and operator lowerings within MLIR, LLVM, and the ROCm software stack.
Develop scalable solutions to improve portability and performance across various AMD GPU architectures.
Implement, validate, and maintain ONNX operators and microbenchmark test suites.
Lead performance optimization for AI training, fine-tuning, reinforcement learning, and inference workloads.
Design and implement graph-level, kernel-level, and runtime-level optimizations to deliver measurable performance gains.
Analyze workload execution to identify improvements in compute efficiency, memory utilization, and communication overhead.
Drive performance characterization and benchmarking across pre-silicon and post-silicon environments.

What we're looking for

Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
Design, develop, and optimize compiler transformations and operator lowerings within MLIR, LLVM, and the ROCm software stack.
Lead performance optimization efforts for AI training, fine-tuning, reinforcement learning, and inference workloads on AMD GPUs.
Implement, validate, and maintain ONNX operators and microbenchmark test suites.
Analyze workload execution characteristics to improve compute efficiency, memory utilization, and communication overhead.
Strong proficiency in C++ and object-oriented software development (preferred).
Hands-on experience with GPU programming technologies such as HIP, CUDA, Triton, or equivalent parallel programming frameworks (preferred).
Experience with compiler technologies including MLIR, LLVM, or related compiler infrastructures (preferred).

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