Compute Diagnostics Library Engineer

WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. 

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The Role:

Be part of the world's most leading graphics accelerator team developing diagnostics applications for the functional and behavior verification of state-of-the-art graphics accelerators. This role will involve designing high- and low-level compute library layers, implementing diagnostics applications, as well as analyzing and debugging the results.

The Person:

To be successful in this role, you should be a proactive self-starter capable of contributing innovative ideas and providing effective technology leadership. You bring excellent knowledge of GPU hardware/software integrations and standard diagnostics design and development techniques. With proven experience in sophisticated development in a complex software environment, you are able to contribute to the team's work in building industry leading compute engine libraries.  As a key member of this team you will need exceptional communication, problem-solving capabilities, and data analysis skills. 

Key Responsibilities:

• The candidate would be responsible for planning, designing, developing, debugging, and optimizing diagnostic driver layers targeting machine learning, HPC hardware accelerators, and general-purpose GPU compute workloads.
• Collaborate with hardware architects and logic designers to solve functional issues, and collaborate with customer support engineers to help resolve verification deficiencies.
• Explore and adopt new or evolving diagnostics methodologies used in the industry to verify complex ASIC designs within intensive production schedules.
• Work within existing verification infrastructure on currently active projects.
• Participate in system-level verification planning.

Preferred Experience:

• Must have knowledge and experience in developing applications on industry compute platforms such as ROCm, OpenCL, or CUDA.
• Experience developing machine learning, HPC, or general-purpose GPU compute applications.
• Experience with object-oriented programming in modern C++.
• Experience with systems architecture and object-oriented analysis and design.
• Strong software development skills on Linux and debug skills on hardware.
• Experience developing, debugging, or tracing assembly language programs.
• Standard diagnostics design and development techniques.
• A proven understanding of machine learning accelerator architecture.
• Experience on Linux Shell.
• Experience in diagnostics environments with emphasis on ASIC system-level verification.
• Experience on exploring and adopting new or evolving verification methodologies used in the industry to verify complex ASIC designs within aggressive, market-driven schedules.
• Experience with source code control systems.
• Knowledge of RTL design practices and tools is a plus.

Academic Credentials:

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

Location:

Markham, ON

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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.