TESTING&CONTROLS ENGINEER

Machine Learning Performance Engineer, Annapurna LabsOur team is responsible for the AWS Neuron software stack, which powers Generative AI and other advanced ML workloads on AWS's custom-built ML accelerators — Inferentia and Trainium. These accelerators deliver best-in-class performance and cost-efficiency for ML inference and training in the cloud.We're building a new core group of engineers in TLV (Tel Aviv) to drive innovation in ML systems performance and software. As a Machine Learning Performance Engineer, you'll help shape the direction of the team from the ground up and work on:Optimizing system performance across the entire ML software stackAnalyzing high-performance ML workloads running on Annapurna hardwareDeveloping high-performance kernels for critical ML operationsEnhancing the Neuron SDK to improve developer experience and system capabilitiesCollaborating across Compiler, Frameworks, and Hardware teams to maximize end-to-end performanceAs part of the Performance Engineering Team, you'll contribute to projects involving instruction scheduling, memory management, parallelism, kernel optimization, and compiler enhancements to maximize end-to-end performance.This is a unique opportunity to be at the intersection of ML and systems within AWS, helping to build the future of AI infrastructure — right here in Tel Aviv.Key job responsibilitiesOur engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.A 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. 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.Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. 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.Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.Inclusive Team Culture: AWS values curiosity and connection. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.Mentorship and Career Growth: We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge‐sharing, mentorship and other career‐advancing resources here to help you develop into a better‐rounded professional.S. in computer science or related fieldProficiency with 1 or more of the following programming languages: Python (preferred), C++Experience working with TensorFlow, PyTorch, and/or JAX3+ years of non‐internship professional software development experience3+ years of experience in performance optimizations in LLM, Vision or other deep‐learning modelsPreferred QualificationsM.S. in computer science or related fieldExperience with developing algorithms for simulation toolsExperience developing compiler optimization, kernel writing or hardware‐software co‐designOur inclusive culture empowers Amazonians to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
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