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Added 10 mins ago
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Advanced Micro Devices, Inc

Senior Software Engineer - GPU Profiling Tools

1 Commerce Valley Drive, Markham, ON, L3T 7X6, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Oct 5, 2027
Posting language: English
Posted: Oct 5, 2026

Original job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we’ll advance your career.

THE ROLE:

AMD is looking for a Senior Software Engineer - GPU Profiling Tools for the Developer Tools team, where you will contribute to the development and optimization of GPU profiling tools for HPC and AI workloads. You will work alongside a team of skilled engineers, collaborating to enhance the profiling tools' capabilities and support broader strategic projects, including participating in new ASIC and hardware bring-ups.

THE PERSON:

The ideal candidate is passionate about software engineering and has the technical leadership skills to drive complex issues to resolution. The candidate should have a strong understanding of GPU and computer system architecture, advanced C++ programming skills, and a strong interest in GPU developer tools, profiling methodologies, and low-level systems software. The candidate should be detail-oriented, proactive in solving complex technical challenges, and able to communicate effectively across cross-functional teams.

KEY RESPONSIBILITIES:

Collaborate with firmware, architecture, driver, and runtime teams to enable profiling for next-generation AMD GPUs in both pre-silicon and post-silicon environments
Design, develop, and maintain ROCprofiler-SDK components for GPU performance profiling
Design and implement firmware, driver, and runtime interfaces required for low-overhead, advanced profiling and telemetry features
Implement new features and APIs to enhance profiling capabilities for AI and HPC workloads
Optimize profiling tools for accuracy, scalability, and minimal overhead
Debug and resolve issues across application, runtime, driver, firmware, and hardware layers to improve tool reliability
Stay current with GPU architecture advancements and integrate them into ROCprofiler-SDK
Contribute to documentation and developer resources for ROCprofiler-SDK

PREFERRED EXPERIENCE:

Strong proficiency in C++ and object-oriented programming
Experience with performance analysis tools or profiling frameworks
Understanding of GPU architecture and system-level performance concepts
Experience with Linux kernel development, kernel drivers, firmware, or low-level system software
Experience with performance-monitoring technologies such as tracing, hardware counters, or similar profiling technologies
Experience debugging and developing software across multiple layers of the system stack, including applications, runtimes, drivers, firmware, and hardware interfaces
Experience with multithreading and concurrency in modern C++
Familiarity with ROCm ecosystem and tools is highly desirable
Experience with AI-powered developer tools and ability to effectively leverage them in day-to-day development workflows, including code generation, debugging, performance optimization, and productivity improvements
Experience with Git-based workflows and debugging tools
Familiarity with GPU programming models (HIP) is a plus
Strong problem-solving skills and ability to work independently and in a team
Knowledge of Linux development environments; Windows experience is a plus

ACADEMIC CREDENTIALS:

Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

LOCATION: Markham, Canada (Hybrid)

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

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More about this job

Responsibilities

Collaborate with cross-functional teams to design, develop, and maintain ROCprofiler-SDK components for GPU performance profiling. Optimize profiling tools for accuracy and scalability while debugging issues across application, driver, firmware, and hardware layers.

Requirements

Requires strong proficiency in C++ and a deep understanding of GPU architecture and system-level performance concepts. Candidates should have experience with low-level system software, performance monitoring technologies, and debugging across the system stack.

Skills

C++
GPU Architecture
Performance Analysis
Profiling Frameworks
Linux Kernel Development
Kernel Drivers
Firmware
Low-level Systems Software
Hardware Counters
Multithreading
Concurrency
ROCm
HIP
Debugging
HPC
AI Workloads

Visa sponsorship

Not detected in the job text

Keywords

GPU Profiling
HPC
AI
C++
ROCprofiler-SDK
Firmware
Driver Development
Linux
System Architecture
Telemetry
Performance Optimization
Debugging
Hardware Bring-up
Multithreading
Concurrency
ROCm
HIP
Tracing
Hardware Counters
Pre-silicon
Post-silicon
Software Engineering
Technical Leadership
Git
Object-oriented Programming

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