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Sr. Software Engineer- AI/ML, AWS Neuron

Annapurna Labs

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Questions you are likely to be asked

  1. Why do you want to join Annapurna Labs?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. Walk me through a model you built, from the data to how it was used.
  4. How did you know your model was actually good, and not just good on your test set?
  5. Tell me about a time the data was messy or wrong. What did you do?

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Shape the Future of AI Accelerators at AWS NeuronWe build Amazon Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon’s custom machine learning accelerators, Basic qualifications: - Bachelor's degree - 5+ years of non-internship professional software development experience - Knowledge of Python and/or C++ programming - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems - Knowledge of system performance, memory management, and parallel computing principles - Experience owning a performance optimization roadmap and mentoring engineers on optimization Preferred: - Master's degree in computer science or equivalent - Knowledge of machine learning model architecture and inference - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques - Hands-on development with PyTorch is preferred - Experience scaling workloads across multi-GPU and multi-node topologies with NCCL and tensor, pipeline, or expert parallelism - Experience writing and optimizing custom CUDA/Triton kernels for tensor operations 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. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually

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Listed on amazon · posted 2026-09-07. ApplySarthi collects openings and links to application pages; the role is advertised by Annapurna Labs, not by us.