Ph3Overview /h3pSr. ML Performance Engineer, AWS Neuron, Annapurna Labs Amazon•Sant'Ambrogio di Torino, Piedmont, ITALY /ppDescrizione dell’offerta di lavoro /ppThe Annapurna Labs team at AWS builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon’s custom machine learning accelerators, Inferentia and Trainium. The Product: The AWS Machine Learning accelerators (Inferentia / Trainium) offer unparalleled ML inference and training performances. They are enabled through state-of-the-art software stack – the AWS Neuron Software Development Kit (SDK). This SDK comprises an ML compiler, runtime, and application framework, which seamlessly integrate into popular ML frameworks like PyTorch. AWS Neuron, running on Inferentia and Trainium, is trusted and used by leading customers such as Snap, Autodesk, and Amazon Alexa. The Team: Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered over the last few years. Within this ecosystem, the Neuron Compiler team is developing a deep learning compiler stack that takes state of the art LLM, Vision, and multi-modal models created in frameworks such as TensorFlow, PyTorch, and JAX, and makes them run performantly on our accelerators. The team is comprised of some of the brightest minds in the engineering, research, and product communities focused on the ambitious goal of creating a toolchain that will provide a quantum leap in performance. The Neuron team is hiring systems and compiler engineers in order to solve our customers toughest problems. Specifically, the performance team in Toronto is focused on analysis and optimization of system-level performance of machine learning models on AWS ML accelerators. The team conducts in-depth profiling and works across multiple layers of the technology stack - from frameworks and compilers to runtime and collectives - to meet and exceed customer requirements while maintaining a competitive edge in the market. As part of the Neuron Compiler organization, the team not only identifies and implements performance optimizations but also works to crystallize these improvements into the compiler, automating optimizations for broader customer benefit. This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We’re inventing. We’re experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. /ph3Responsibilities /h3ulliAnalyze and optimize system-level performance of machine learning models across the entire technology stack, from frameworks to runtime. /liliConduct detailed performance analysis and profiling of ML workloads, identifying and resolving bottlenecks in large-scale ML systems. /liliWork directly with customers to enable and optimize their ML models on AWS accelerators, understanding their specific requirements and use cases. /liliDesign and implement compiler optimizations, transforming manual performance improvements into automated compiler passes. /liliCollaborate across teams to develop innovative optimization techniques that enhance AWS Neuron SDK’s performance capabilities. /liliWork in a startup-like development environment, where you’re always working on the most important stuff. /liliA day in the life: design and code solutions, create metrics, implement automation and other improvements, resolve root causes of software defects, and deliver high-impact solutions to a large customer base. /liliParticipate in design discussions, code reviews, and communicate with internal and external stakeholders; work cross-functionally to help drive business decisions with technical input. /li /ulh3About the team and culture /h3p1. Diverse Experiences: Amazon values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. /pp2. Why AWS: Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. /pp3. Inclusive Team Culture: We embrace our differences and are committed to inclusion with employee-led affinity groups and ongoing learning experiences. Our culture is reinforced by Amazon’s Leadership Principles. /pp4. Work / Life Balance: We value work-life balance and offer flexibility in working hours. /pp5. Mentorship Career Growth: Our team supports new members and emphasizes knowledge sharing, mentorship, and career development. /ppExplore the product and our history: /p h3Qualifications /h3pbBasic Qualifications /b /pulli5+ years of non-internship professional software development experience /lili5+ years of programming with at least one software programming language /lili5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems /liliExperience as a mentor, tech lead or leading an engineering team /li /ulpbPreferred Qualifications /b /pulli5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience /liliBachelor’s degree in computer science or equivalent /li /ulpAmazon 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. If the country / region you’re applying in isn’t listed, please contact your Recruiting Partner. /ppJ-18808-Ljbffr /p /p #J-18808-Ljbffr