The Annapurna Labs team at Amazon builds Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon’s custom machine learning accelerators, Inferentia and Trainium.The Acceleration Kernel Library team is at the forefront of maximizing performance for Amazon's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers’ demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what’s possible in AI acceleration.The Amazon Neuron SDK, developed by the Annapurna Labs team, is the backbone for accelerating deep learning and GenAI workloads on Amazon’s Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance.As part of the broader Neuron Compiler organization, our team works across multiple technology layers—from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures,



where you will help shape the future of AI acceleration technology.Key job responsibilitiesDesign and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models.Analyze and optimize kernel-level performance across multiple generations of Neuron hardware.Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks.Implement compiler optimizations such as fusion, sharding, tiling, and scheduling.Work directly with customers to enable and optimize their ML models on AWS accelerators.Collaborate across teams to develop innovative kernel optimization techniques.A day in the lifeDesign and code solutions that drive efficiencies in software architecture, creating metrics and implementing automation to resolve root causes of software defects.Build high-impact solutions for our large customer base.Participate in design discussions, code reviews, and communicate with internal and external stakeholders.Work cross-functionally to support business decisions with your technical input.Operate in a startup-like development workplace,



focusing on the most important work.Basic Qualifications5+ years of non-internship professional software development experience.5+ years of programming with at least one software programming language.5+ years of leading design or architecture (design patterns, reliability, scaling) of new and existing systems.Experience as a mentor, tech lead, or leading an engineering team.Preferred Qualifications5+ years of full software development life cycle experience, including coding standards, reviews, source control, build processes, testing, and operations.Bachelor’s degree in computer science or equivalent.Expertise in accelerator architectures for ML or HPC such as GPUs, CPUs, FPGAs, or custom architectures.Experience with GPU kernel optimization and GPGPU computing such as CUDA, Triton, OpenCL, SYCL, or ROCm.Demonstrated experience with NVIDIA PTX and/or AMD GPU ISA.Experience developing high-performance libraries for HPC applications.Proficiency in low-level performance optimization for GPUs.Experience with LLVM/MLIR backend development for GPUs.Knowledge of ML frameworks (PyTorch, TensorFlow) and their GPU backends.Experience with parallel programming and optimization techniques.Understanding of GPU memory hierarchies and optimization strategies.Base salary range: 150,700.00 – 251,700.00 CAD annually (Toronto, Canada).We offer comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D;), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.#J-18808-Ljbffr

📌 Senior Ml Kernel Performance Engineer - C$150,700 - C$251,700 A Year (Winnipeg)
🏢 Amazon
📍 Winnipeg