AWS Neuron is the complete software stack for the AWS Trainium and Inferentia cloud-scale machine learning accelerators and the Trn3/Trn2/Trn1 and Inf2/Inf1 servers that use them. This role is for a Software Development Engineer on the Developer Experiences (DevEx) team within AWS Neuron, based in Toronto.

The Neuron Explorer team makes AWS Trainium performance visible. We own Neuron Explorer, the tool for profiling, debugging, and optimizing machine learning workloads on Trainium and Inferentia. We build profiling, debugging, and analysis tools that let engineers see how efficiently models and kernels use the hardware, pinpoint bottlenecks, and decide what to optimize next. Neuron Explorer traces execution from source code down to hardware operations across both single-node and distributed applications. Our goal is to cut through complex execution data so customers can optimize faster and reach higher performance on Trainium.

As the Software Development Engineer for the Neuron Explorer team, you will design, build, and operate the full stack behind Neuron Explorer - from low-level performance data collection and analysis engines to interactive visualizations and developer workflows. You will own features end to end, spanning the backend processing pipeline, the web UI, and the CLI, and you will help push our AI-powered recommendation and analysis capabilities that automatically surface bottlenecks and guide optimization.

Key job responsibilities

- Design and build performance data collection pipelines and analysis engines that transform raw hardware execution data into actionable insights for Neuron Explorer users.

- Develop interactive visualizations and developer workflows that make complex profiling data understandable, helping customers pinpoint bottlenecks across single-node and distributed training workloads.

- Own features end to end across the full software development lifecycle - from scoping and design through implementation, testing, deployment, and operations - ensuring reliability and maintainability.

- Collaborate with compiler, runtime, and chip architecture teams to surface the right performance information so internal and external customers can optimize AI workloads on Trainium and Inferentia hardware.

- Evaluate and integrate generative AI capabilities into Neuron Explorer's recommendation engine, building features that automatically identify optimization opportunities and guide customers toward higher performance.

A day in the life

You will work across the backend processing pipeline, the web UI, and the CLI that make up Neuron Explorer, partnering with compiler, runtime, and chip architecture teams to expose the data customers need to optimize their models. You will work with senior technical leaders and management to define product direction and deliver it to customers, including teams bringing massive-scale multi-modal large language models to peak performance on Trainium. We build the full stack of software, servers, and chips to accelerate machine learning at the highest scale.

BASIC QUALIFICATIONS

- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field

- 3+ years of non-internship professional software development experience

- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

- Experience programming with at least one software programming language

PREFERRED QUALIFICATIONS

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

- Experience working with PyTorch or JAX software

- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution

- Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware

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). Final compensation will be determined based on factors including experience, qualifications, and location. 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. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, ON, Toronto - 114,800.00 - 191,800.00 CAD annually