Amazon Devices is an inventive research and development company that designs and engineers high-profile consumer products like the Kindle family, Fire Tablets, Fire TV, Health & Wellness devices, Amazon Echo, and Astro. We are building the next generation of edge AI capabilities through our advanced compression platform, compiler and custom neural accelerator silicon. Come join us to accelerate deep learning networks on edge processors and beyond. We are looking for a talented and passionate software engineer to be part of an exciting technology creation team at Amazon. You will have an enormous opportunity to make a large impact on the design, architecture, and implementation of deep learning technologies embedded into consumer products used every day, by people you know. The position provides an unique opportunity to contribute and make an impact from hardware design stage followed by pre and post silicon development as well as productizing it on consumer devices. You will also partner up with peer science teams to innovate on model quantization and compression techniques for effective execution on hardware. Design and develop software stack for deep learning accelerator Profile, analyze and optimize system level performance, develop new tooling where necessary Successfully collaborate with hardware, software, applied science and product teams to onboard more and more user experiences to be powered by Deep Learning accelerator. You join a small team building the compiler that brings large AI models to a new generation of custom silicon. The chip has a fraction of the memory of a phone, and the compiler is what makes language models run on it at all. The morning starts with results from an overnight run.



You ship the change for hardware validation. You spend the afternoon directing AI agents through the codebase, reviewing their changes, and steering the design. Before lunch, you load your compiled model onto the chip and run it through a demo app you wrote yourself, watching tokens stream out of silicon you helped make work. We sit at the intersection of AI models and custom silicon, and our work decides what is possible at the edge. Engineers here bring deep experience across compilers and program analysis, optimization algorithms, computer architecture, machine learning systems, and the practical craft of getting large software to run reliably under tight constraints. People have shipped production code generators, tuned schedulers for novel hardware, and worked at every layer from the model down to the bare metal. You partner directly with researchers shaping the models, hardware engineers shaping the silicon, and firmware engineers shaping the runtime. This is a place to build technical depth quickly and own work that matters from day one. 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience ~3+ years of non-internship professional software development experience ~3+ years of programming using a modern programming language such as Java, C++,



or C#, including object-oriented design experience ~ Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience ~ Bachelor's degree in computer science or equivalent ~ Experience in embedded development in C/C++ ~ Knowledge of system performance, memory management, and parallel computing principles ~ Experience building compiler for application specific accelerators or custom instruction set Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D; insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. CAN, BC, Vancouver
- 114,800.00
- 191,800.00 CAD annually

📌 Software Dev Engineer, Machine Learning Compilers, Edge AI Compiler and Runtime Team (Vancouver)
🏢 Amazon
📍 Vancouver