Machine Learning Engineer, AI Solutions Full-time

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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Machine Learning Engineer, AI Solutions

THE TEAM:

In the ever-evolving landscape of artificial intelligence, we are a powerhouse – a cutting-edge ‘AI Software Solutions team’ poised to redefine the benchmarks of excellence. Specializing in a multifaceted approach, we stand at the forefront of AI optimization, meticulously fine-tuning algorithms to unlock unprecedented efficiency. Our expertise extends beyond the virtual realm, encompassing 3P enablement, where we seamlessly navigate the intricacies of Proof of Concept, Request for Proposal, and optimization strategies.

Delving into the core of hardware capabilities, we embark on a journey of performance optimization, ensuring that every machine operates at its apex. With a focus on ML Perf inference, we transcend conventional boundaries, setting a new standard for real-time decision-making. As trailblazers in AI training improvement, we harness innovation to elevate the capabilities of machine learning models. Join us on this transformative journey as we navigate the frontiers of artificial intelligence, where every challenge is an opportunity, and every solution propels us into the future.

THE ROLE:

Would you like to be part of a world class team enabling Machine Learning applications for world class datacenters and the mightiest supercomputers? AMD is searching for talented and highly motivated Software Engineers to join our team of developers pushing the boundaries of efficiency and performance to enable and optimize the software ecosystem for the next generation of GPU computational accelerators. Our team has an unparalleled perspective of the AI landscape. We work with the industry’s most sophisticated clients to help them leverage the latest hardware capabilities for their AI use cases. As part of our team, you will be among the first in the world to combine the newest hardware with the industry’s latest ML applications, libraries, frameworks, and SDKs to push the limits of innovation and solve the world’s most complex challenges.

THE PERSON:

We are looking for a highly motivated and skilled Software Engineers to join our team. You will work with a team of Machine Learning engineers to enable AI models, libraries, and applications for Instinct GPUs in both on-prem and Cloud environments. Candidates should have strong Python and C++ skills as well as experience with Machine/Deep Learning concepts. Candidates should also have experience analyzing and optimizing the performance of software. Must be self-motivated and possess the ability to work well within a team environment.

KEY QUALIFICATIONS:

• BS with several years of related experience or MS with years of related experience or PhD with years of related experience in Computer Science or Computer Engineering or related equivalent.
• Strong programming skills in Python and C++
• Experience with training and inference for large models, including in multi-GPU and multi-node training and inference.
• Experience with open-source software development including collaboration with community maintainers and submitting contributions.
• Experience with software engineering methodologies such as Agile, Scrum, Kanban.

• Excellent analytical and problem-solving skills.
• Ability to work independently and as part of a team.
• Willingness to learn skills, tools, and methods to advance 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, Collasal.ai)
• 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 the phases of software development, from requirement gathering, analysis, design, development, testing to final release.
• Experience providing clear and timely communication related to status and other key aspects of the project to leadership team.

LOCATION:

Santa Clara. CA/ Austin, TX

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At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either 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 here.

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.