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AI Solutions Software Engineer

2 months ago


Santa Clara California, United States Advanced Micro Devices, Inc Full time

Overview:

TRANSFORMING THE FUTURE WITH AMD TECHNOLOGY
At AMD, we are dedicated to enhancing lives through our innovative technology, impacting industries, communities, and the global landscape.

Our goal is to create exceptional products that propel next-generation computing experiences, serving as the foundation for data centers, artificial intelligence, personal computing, gaming, and embedded systems.

Central to our mission is the AMD culture, where we challenge the boundaries of innovation to tackle the world's most pressing issues. We aim for excellence in execution while fostering a culture of directness, humility, collaboration, and inclusivity of diverse viewpoints.

Together at AMD, we advance_

Responsibilities:
AI Solutions Software Engineer

THE TEAM:


In the rapidly changing realm of artificial intelligence, we are a leading force – a pioneering 'AI Software Solutions team' ready to set new standards of excellence.

With a comprehensive approach, we are at the cutting edge of AI optimization, diligently refining algorithms to achieve unmatched efficiency.

Our expertise goes beyond software, encompassing third-party enablement, where we adeptly manage the complexities of Proof of Concept, Request for Proposal, and optimization strategies.

By exploring the depths of hardware capabilities, we embark on a quest for performance enhancement, ensuring that every machine operates at its peak.

With a focus on ML Perf inference, we push beyond traditional limits, establishing a new benchmark for real-time decision-making. As innovators in AI training enhancement, we leverage creativity to elevate the potential of machine learning models.

Join us on this transformative journey as we explore the frontiers of artificial intelligence, where every challenge presents an opportunity, and every solution drives us toward the future.


THE ROLE:


Are you interested in being part of a world-class team that enables Machine Learning applications for top-tier data centers and the most powerful supercomputers? AMD is seeking talented and driven Software Engineers to join our group of developers who are redefining efficiency and performance to enhance the software ecosystem for the next generation of GPU computational accelerators.

Our team possesses a unique perspective on the AI landscape.

We collaborate with the industry's most advanced clients to assist them in utilizing the latest hardware capabilities for their AI applications.

As a member of our team, you will be among the first globally to integrate the newest hardware with the industry's latest ML applications, libraries, frameworks, and SDKs to push the boundaries of innovation and address the world's most intricate challenges.


THE PERSON:
We are in search of highly motivated and skilled Software Engineers to join our team.

You will collaborate with a team of Machine Learning engineers to enable AI models, libraries, and applications for Instinct GPUs in both on-premises and cloud environments.

Candidates should possess strong Python and C++ skills along with experience in Machine/Deep Learning concepts. Additionally, candidates should have experience in analyzing and optimizing software performance. A self-motivated attitude and the ability to work effectively within a team environment are essential.

KEY QUALIFICATIONS:


A Bachelor's degree with several years of relevant experience, or a Master's degree with years of relevant experience, or a PhD with years of relevant experience in Computer Science, Computer Engineering, or a related field.

Strong programming skills in Python and C++

Experience with training and inference for large models, including multi-GPU and multi-node training and inference.

Experience with open-source software development, including collaboration with community maintainers and submitting contributions.

Familiarity with software engineering methodologies such as Agile, Scrum, and Kanban.

Excellent analytical and problem-solving abilities.

Capability to work independently and as part of a team.

A willingness to learn new skills, tools, and methods to enhance the quality, consistency, and timeliness of AMD software products.

PREFERRED EXPERIENCE:
Experience with deep learning models and associated AI frameworks (PyTorch, TensorFlow, Jax, Deepspeed, Mosaic, Horovod).

Experience with GPU kernel programming using CUDA, HIP, or OpenCL.

Experience in implementing and optimizing parallel methods on GPU accelerators (NCCL/RCCL, OpenMP, MPI).

Experience training models in a clustered environment.

Experience deploying inferencing models.

Performance analysis skills for both CPU and GPU.

Experience with Singularity, Docker, and/or Kubernetes.

Experience in all phases of software development, from requirement gathering, analysis, design, development, testing to final release.

Experience providing clear and timely communication regarding project status and other key aspects to the leadership team.

LOCATION:
Remote options available.

#AISS23

#LI-RL1

Qualifications:
At AMD, your base pay is one component of your total rewards package.

Your base pay will depend on your skills, qualifications, experience, and location within the hiring range for the position.

You may be eligible for incentives based on your role, such as an annual bonus or sales incentive.

Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD's Employee Stock Purchase Plan.

You'll also be eligible for competitive benefits described in more detail.

AMD is an equal opportunity employer 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.