NPU Diagnostics Software Engineer

Advanced Micro Devices, Inc•Markham, ON

4d•Onsite

About The Position

ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them. AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward. Be part of the world's leading silicon team building the diagnostics that bring AMD's AI hardware to life. You'll work in a high-energy environment alongside expert, diverse engineers, with real opportunities to grow your career and apply modern AI to hard engineering problems. Together we advance_ THE PERSON: You are a motivated, hands-on engineer who enjoys working close to hardware and solving complex technical problems. You thrive in a collaborative environment, take ownership of your work, and have a passion for debugging, automation, and continuous improvement. With a strong curiosity for AI and emerging technologies, you leverage innovative tools and data-driven approaches to improve engineering productivity and product quality. You are an effective communicator who can work across hardware, firmware, driver, and validation teams to help deliver industry-leading AI hardware from concept through production. THE ROLE: The Diagnostics team develops the software that brings up, validates, and qualifies AMD's Neural Processing Unit (NPU / AI Engine) IP inside AMD's Accelerated Processing Units (APUs). In this role you will design and develop diagnostics that validate NPU hardware design and features at the system level, from pre-silicon through production, for a complex and advanced semiconductor product. You will collaborate closely with hardware, firmware, driver, and validation teams to enable state-of-the-art AI hardware through software. We are looking for a highly motivated engineer who enjoys low-level and embedded programming and can independently drive tasks to completion.

Requirements

Proven experience in low-level or embedded software development with direct hardware interaction
Strong C++ programming; experience with modern C++ standards (C++ 11/14/17/20) a plus
Good understanding of computer architecture and operating systems
Experience with software development and debugging in Linux
Experience with debuggers (GDB, WinDbg, etc.)
Familiarity with source control systems (Git, SVN, Perforce)
Strong debugging, testing, and communication skills
Proven ability to develop and deploy AI/ML solutions that resolve real engineering problems - for example, automating test generation, hardware failure and log triage, debug assistance, or developer productivity tooling
Hands-on knowledge of Python and modern AI/ML frameworks and tooling (e.g., PyTorch, TensorFlow, LLM APIs and agent frameworks)
Ability to integrate AI into day-to-day engineering and development workflows, with sound judgment on where AI adds value versus traditional methods
A continuous learner who actively builds and applies new AI skills as the toolset evolves
Knowledge of Machine Learning and inference concepts, and NPU / AI accelerator architecture
Familiarity with CPU/GPU/APU architecture
Experience with parallel programming
Experience with multi-threading programming

Responsibilities

Design and develop tests to validate NPU (AI Engine) hardware design and features in pre-silicon and post-silicon stages
Diagnose and fix hardware issues using GDB and register-level debug tools
Participate in new APU ASIC bring-up and execution
Develop SLT (System Level Test) and ASIC qualification suites
Optimize diagnostics software for coverage, effectiveness, and efficiency
Develop and deploy AI-based tools and workflows to accelerate test development, failure triage, and debug
Build and debug automation tools to improve productivity