C++ Software Engineer - AI Open-Source Software
Role details
Job location
Tech stack
Job description
Are you interested in joining a world-class team that enables software for leading datacenters and the most powerful supercomputers?AMD isseekingtalented, highly motivated Software Engineers to join our development team toenable andoptimizethe software ecosystem andpush the boundaries of efficiency and performance for the next generation of GPU computational accelerators.Our team has an unparalleled perspective of the AI landscapeand works closely with the industry's most sophisticated clients to help themleveragethe latest hardware capabilities for AI workloads.As a member of our team, you will be among the first to combine new hardware with the latest applications, libraries, frameworks, and SDKs to drive innovation and solve complex challenges., * Collaborate withAMD's architecture specialists toinfluenceandimprove future products
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Apply a data-driven approach to prioritize and target optimization efforts
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Stay informed of software and hardware trends and innovations, especiallythose relatedto algorithms and architecture
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Design and develop new groundbreaking AMD technologies
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Debug and resolve existing issues and research more efficient approaches to achieve objectives
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Build andmaintaintechnical relationships with internal peers and external partners, AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
Requirements
We are looking for a highly motivated and skilled Software Engineer to join our team. You will collaborate with other engineers to enable models, libraries, and applications for Instinct GPUs in both on-premises and cloud environments. Candidates should have strong C/C++ skills; Python experience is a plus. Experience analyzing andoptimizingsoftware performance isrequired. You must be self-motivated and able to work effectively in a team environment., * Experience with both training and inferencing machine learning models
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Experience with GPU kernelandparallel programming: ROCm, HIP, or CUDA
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Experience in performance analysis and optimization
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Highly proficient inC/C++, object-oriented programming, and tools such as debuggers and profilers
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Experience with open-source software development,engagingwith upstream reviewers,and reviewing PRs.
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Experience with source code control systems such as GitHub
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Experience with Linux and containerized environments (e.g., Docker)
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Experience with software development processes such as Agile, Scrum, or Sprint
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Demonstrated ability to write high-quality code with strong attention to detail
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Effective communication and problem-solving skills
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Motivating leader with good interpersonal skills
ACADEMIC CREDENTIALS:
BS or MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent