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Sr. Staff Software Development Engineer - Collectives and Network optimization

AMD
San Jose, USA
Full-time
Senior
Discovered 2 weeks ago
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Free

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LOCATION:

  • San Jose, CA (hybrid)
  • This role is not eligible for visa sponsorship.
  • #LI-MV1
  • Benefits offered are described: AMD benefits at a glance.
  • 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.
  • AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
  • This posting is for an existing vacancy.

Qualifications

  • Benefits offered are described: AMD benefits at a glance. 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. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.

Responsibilities

  • THE ROLE: Senior level engineer who will be responsible for driving AMD’s strategy, architecture, optimization and tooling to achieve industry-leading AI Pre-training and Distributed Inference Performance on AMD GPU. You will partner across hardware architecture, AI frameworks, compilers, runtime, ROCm, developer tools and model to scale performance analysis and optimization. As an engineer of Collectives and Network performance, you will help drive the end-to-end technical performance attainment across the entire software stack focusing on getting the best performance on multiple generations of AMD GPUs with wide range of models including latest state-of-the-art AI models. You will help set the strategy and roadmap for general optimization, accelerating supporting new models and out of box performance. If you are passionate about performance optimization, getting the best out of the hardware, and shaping the future of AI acceleration, then this role is for you. THE PERSON: The ideal candidate will have deep knowledge with Network, NIC and GPU hardware architecture, software optimization, performance modeling, AI frameworks and latest trend in inference and training optimization. Hand-on experience in mapping model architecture to low level software, hardware and understanding the impact of each layer of the stack on model performance. Strong knowledge in latest generative model architecture, especially SoTA models, distributed inference and deployment at scale is crucial. KEY RESPONSIBILITIES: - Help set strategy and roadmap for AMD Collectives and Network optimizations. - Provide guidelines to customers on efficient network load-balancing, workload scheduling and model sharding strategies. - Performance tuning, profiling and analysis of large-scale models for LLM, diffusion, multimodal, RecSys and generative AI, single node and distributed. In addition to exploring various tradeoffs and design decisions. - Participate in hardware-software co-design for future hardware optimizations – especially on

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