Sr. ML Performance Engineer, AWS Neuron, Annapurna Labs

OverviewSr. ML Performance Engineer, AWS Neuron, Annapurna Labs — Amazon Web Services (AWS)The 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.Key responsibilitiesAnalyze and optimize system-level performance of machine learning models across the entire technology stack, from frameworks to runtimeConduct detailed performance analysis and profiling of ML workloads, identifying and resolving bottlenecks in large-scale ML systemsWork directly with customers to enable and optimize their ML models on AWS accelerators, understanding their specific requirements and use casesDesign and implement compiler optimizations, transforming manual performance improvements into automated compiler passesCollaborate across teams to develop innovative optimization techniques that enhance AWS Neuron SDK's performance capabilitiesWork in a startup-like development environment, where you’re always working on the most important stuffA day in the lifeAs You Design And Code Solutions To Help Our Team Drive Efficiencies In Software Architecture, You’ll Create Metrics, Implement Automation And Other Improvements, And Resolve The Root Cause Of Software Defects. You’ll Also build high-impact solutions to deliver to our large customer base. Participate in design discussions, code review, and communicate with internal and external stakeholders. Work cross-functionally to help drive business decisions with your technical input.About The Team#1. Diverse Experiences: AWS 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.#2. 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.#3. Inclusive Team Culture: Here at AWS, 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 (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.#4. 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. Mentorship & Career Growth: Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.Basic Qualifications5+ years of non-internship professional software development experience5+ years of programming with at least one software programming language experience5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experienceExperience as a mentor, tech lead or leading an engineering teamPreferred Qualifications5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceBachelor's degree in computer science or equivalentAmazon 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.Company - Amazon Development Centre Canada ULCJob ID: A3115298Seniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation Technology, Consulting, and EngineeringIndustriesIT Services and IT ConsultingReferrals increase your chances of interviewing at Amazon Web Services (AWS) by 2xSign in to set job alerts for “Senior Performance Engineer” roles. #J-18808-Ljbffr