Deep Learning SW Development Engineer – Training Libraries 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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THE ROLE:

AMD is looking for a specialized software engineer who is passionate about improving the performance of key applications and benchmarks You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology.

THE PERSON:

The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD.

KEY RESPONSIBILITIES:

• Optimize open-source deep learning training libraries, such as Megatron and Transformer Engine, for enhanced performance on AMD GPUs.
• Analyze and optimize key deep learning models for performance on AMD GPUs in a distributed computing environment, targeting both scale-up (multi-GPU) and scale-out (multi-node) architectures.
• Apply software engineering best practices while staying informed of trends and innovations in software, hardware, algorithms and architecture.
• Contribute to the development and bring-up of new ASIC and hardware.
• Apply a data-driven approach to optimization efforts and design groundbreaking AMD technologies.
• Debug and resolve existing issues while researching more efficient alternatives to achieve the same objectives.
• Collaborate with internal GPU library teams and develop technical relationships with peers and partners to optimize deep learning training.

PREFERRED EXPERIENCE:

• Programming & Development:
  • Expertise in C/C++ and Python, with strong skills in object-oriented programming, debugging, performance optimization, and concurrent programming.
  • Familiar with source control (GitHub), CI/CD, and Linux debugging/profiling tools.
• GPU Kernel Development:
  • Experienced in GPU kernel optimization for deep learning using HIP and CUDA on AMD GPUs (GCN, RDNA).
  • Skilled in programming and performance optimization with tools like Composable Kernel (CK), CUTLASS, Triton, and assembly (ASM).
• Deep Learning & Optimization:
  • Expertise in integrating GPU performance into TensorFlow and PyTorch for model training and inference optimization.
  • Experience in analyzing and optimizing deep learning workloads with a focus on scaling and throughput.
• Collaboration & Communication:
  • Strong problem-solving and communication skills, with proven success in team collaboration.

ACADEMIC CREDENTIALS:

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

LOCATION : 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.