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.
About the team
Inclusive Team Culture
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences.
Work/Life Balance
Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
5+ years of non-internship professional software development experience
Experience as a mentor, tech lead or leading an engineering team
Bachelor's degree in computer science or equivalent
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
Experience with PyTorch, JIT compilation, and AOT tracing
6+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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 - 150,700.00 - 251,700.00 CAD annually
