Senior SW Engineer Lead - AI/ML Performance & GPU Programming

Advanced Micro Devices

  • Markham, ON
  • Permanent
  • Temps-plein
  • Il y a 15 jours
Overview:WHAT YOU DO AT AMD CHANGES EVERYTHINGWe 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.AMD together we advance_ Responsibilities:THE ROLE:As a Senior SW Engineer Lead - AI/ML Performance & GPU Programming contributor that drives end-to-end delivery of software solutions, directly contributing to, and coordinating implementation and optimization across multiple teams for inference and training of machine learning models. The position will involve interfacing with software and hardware engineering teams and AMD partners to plan, develop and optimize use cases. This is an exciting opportunity to work on the cutting edge of GPU Computing for Machine Learning.THE PERSON:You are a subject matter expert and strong technical contributor with machine learning and GPU programming experience. You excel as part of a team where communication and team skills are highly valued. Experience advocating for technical solutions in a collaborative team environment. Excellent communication and collaboration skillsKEY RESPONSIBILITIES:
  • Work within and coordinate with a small team to analyze, implement, and optimize DirectML-TensorFlow and PyTorch for machine learning models
  • Collaborate with ISV, library, compiler, driver, and hardware engineers to influence strategic decisions to achieve the highest performance for DirectML
  • Innovate new algorithmic improvements that exploit the strengths of the hardware architecture to deliver the best possible machine learning performance
PREFERRED EXPERIENCE:
  • Experience in Machine Learning and/or GPU programming
  • Experience in deep learning frameworks (e.g. TensorFlow, Keras, PyTorch, Caffe, ONNX, etc) and familiarity with CNN/LSTM model architectures
  • Knowledge of CPU and GPU architecture, and experience in GPGPU programming technologies
ACADEMIC CREDENTIALS:
  • Undergrad degree required. Bachelor’s or Master’s degree in related discipline preferred.
#LI-BM1#LI-Hybrid Qualifications:Benefits offered are described: .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.

Advanced Micro Devices