Senior Staff Software Engineer – AI Frameworks / Systems Full-time

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The Role:AMD is looking for a world class AI frameworks and compiler engineer who can provide technical leadership in the development of various AI frameworks in the AMD ecosystem. You will need to drive technical direction for next generation frameworks for AI model training and inference for wide variety of AMD devices, current and future, such as MI Instinct, and Radeon GPUs, XDNA devices, including the recently released Ryzen AI, Alveo V70 and Versal ACAP, and datacenter CPUs such as EPYC. You will work enhance the AI framework capabilities to enable cutting-edge models on onto AMD’s cutting-edge hardware.

The Person:If you are passionate about AI/ML frameworks, software architecture, and/or compilers this is your opportunity. You will be working in one of the core areas, such as AI/ML frameworks components (e.g. PyTorch, TensorFlow, ONNX/OnnxRuntime), AI compiler and runtime, and/or optimization tooling to accelerate AI/ML workloads on AMD hardware platforms. You will collaborate closely with AI researchers to drive the development of framework components to efficiently map AI models to run on a variety of HW AI accelerators. You will have demonstrated focus in at least one of these areas: developing and deploying model optimization features, such as graph fusion, quantization, sparsity, and/or experience with compilers, possibly with compiler frameworks (e.g. LLVM, MLIR), and AI execution runtimes. You should be someone who can work in a dynamic, fast-paced development environment, with excellent leadership and collaboration skills. You will work with multiple engineering teams that are geographically dispersed. You will work on next generation framework software, guiding other senior developers and domain experts.

Required Experience:

• Experience with development in one of the focus areas: AI frameworks, AI compiler stack, and/or performance tuning and optimizations for workloads running on ML accelerator HWs.
• Experience with ML frameworks such as PyTorch, OnnxRuntime, JAX, TensorFlow
• Proficient in C++ programming.
• Experience developing and debugging in Python.
• Excellent skills at designing Python tools and libraries used by large number of users.
• Experience with AI model architectures, e.g. Transformers, CNNs.
• Team player and ready to work with a geographically distributed team.

Preferred Experience:

• Highly preferred – knowledge of custom accelerator hardware
• Depth of experience with AI compilers, dataflow graphs, MLIR, and dialects, compiler optimizations, hardware specific optimizations.
• Experience with MLIR, LLVM, IREE, XLA, TVM, Halide is a plus.
• OR Depth of experience with model optimization, including quantization, sparsity.
• Solid understanding of transformer architecture, LLMs, MoE.
• Experience on LLMs/LMMs finetuning, distillation, and/or RLHF

ACADEMIC CREDENTIALS:

BS, MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related technical fields.

Location:

San Jose, Ca

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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.