Machine Learning Compiler Engineer, Annapurna Labs

Our team is responsible for the AWS Neuron Compiler, a cutting‑edge deep learning compiler stack that 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 Tel Aviv to drive innovation in compiler technology and systems‑level ML software.As a Machine Learning Compiler Engineer, you’ll help shape the direction of the team from the ground up and work on:Designing and optimizing compiler features for high‑performance ML workloadsSolving complex challenges in areas like graph optimization, code generation, and hardware‑software co‑designCollaborating across Runtime, Frameworks, and Hardware teams to maximize end‑to‑end performanceAs part of the Backend Compiler Team, you’ll contribute to projects involving instruction scheduling, memory management, parallelism, graph partitioning, ISA design, and new hardware bring‑up.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 responsibilitiesSolve challenging technical problems, often ones not solved before, at every layer of the stack.Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.Research implementations that deliver the best possible experiences for customers.A day in the lifeBuild 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.Work in a startup‑like development environment, where you’re always working on the most important stuff.Considering the technical requirements of this role, and to ensure fair and equal candidate consideration, we are conducting full interview loops. If you meet the basic qualifications, and the team is interested in moving forward, we will be in touch to coordinate your interviews.About the teamDiverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred 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.Why AWSAmazon 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.Work/Life BalanceWe value work–life harmony. 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 CultureAWS values curiosity and connection. Our employee‑led and company‑sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. 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 GrowthWe’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.Basic QualificationsB.S. or M.S. in computer science or related fieldProficiency with 1 or more of the following programming languages: C++ (preferred), Python3+ years of non‑internship professional software development experience3+ years of experience developing compiler optimization, graph‑theory, hardware bring‑up, FPGA placement and routing algorithms, or hardware resource managementPreferred QualificationsM.S. or Ph.D. in computer science or related fieldStrong knowledge in one or more of the areas of: compiler design, instruction scheduling, memory allocation, data transfer optimization, graph partitioning, parallel programming, code generation, Instruction Set Architectures, new hardware bring‑up, and hardware‑software co‑designExperience with LLVM and/or MLIRExperience with developing algorithms for simulation toolsExperience with TensorFlow, PyTorch, and/or JAXExperience in LLM, Vision or other deep‑learning modelsOur 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.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.#J-18808-Ljbffr