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Senior GPU ML Performance Engineer
2 months ago
JOIN AMD AND MAKE A DIFFERENCE
At AMD, we are dedicated to revolutionizing lives through our advanced technology, enhancing our industry, communities, and the global landscape.
Our vision 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 vision is the AMD culture, where we challenge the boundaries of innovation to tackle the world's most pressing challenges. We pursue excellence in execution while embracing directness, humility, collaboration, and inclusivity of diverse viewpoints.
POSITION OVERVIEW:
As a Senior GPU Machine Learning (ML) Performance Engineer, you will play a pivotal role as a senior technical contributor, overseeing the comprehensive delivery of software solutions. You will be instrumental in coordinating the implementation and optimization efforts across various teams for both inference and training of machine learning models.
This role requires collaboration with software and hardware engineering teams, as well as AMD partners, to strategize, develop, and enhance use cases. This is a remarkable opportunity to engage in cutting-edge GPU Computing for Machine Learning.
IDEAL CANDIDATE:
You are a recognized expert and a strong technical contributor with a solid background in machine learning and GPU programming. You thrive in a team-oriented environment where communication and collaboration are highly valued.
KEY RESPONSIBILITIES:
- Collaborate within a focused team to analyze, implement, and optimize DirectML-TensorFlow and PyTorch for machine learning models.
- Partner with ISV, library, compiler, driver, and hardware engineers to influence strategic decisions aimed at achieving optimal performance for DirectML.
- Innovate new algorithmic enhancements that leverage the strengths of the hardware architecture to deliver superior machine learning performance.
PREFERRED QUALIFICATIONS:
- Relevant experience in Machine Learning and/or GPU programming.
- Proficiency in deep learning frameworks (e.g., TensorFlow, Keras, PyTorch, Caffe, ONNX, etc.) and familiarity with CNN/LSTM model architectures.
- Understanding of CPU and GPU architecture, along with experience in GPGPU programming technologies.
- Proven ability to advocate for technical solutions in a collaborative team setting.
- Excellent communication and teamwork skills.
EDUCATIONAL BACKGROUND:
- Bachelor's or Master's degree in a related field is preferred.
LOCATION:
This position may be based in various AMD locations. At AMD, your base compensation is just one component of your total rewards package, which may include performance-based incentives.
We are committed to fostering an inclusive environment and encourage applications from all qualified candidates. AMD is an equal opportunity employer and will consider all applicants without regard to any characteristic protected by law.
