Senior Software Engineer - AI/ML, AWS Neuron Inference

About the role

This role is for a senior software engineer in the Machine Learning Inference Applications team. This role is responsible for development and performance optimization of core building blocks of LLM Inference - Attention, MLP, Quantization, Speculative Decoding, Mixture of Experts, etc. The team works side by side with chip architects, compiler engineers and runtime engineers to deliver performance and accuracy on Neuron devices across a range of models.

Responsibilities

• Adapting latest research in LLM optimization to Neuron chips to extract best performance from both open source as well as internally developed models.
• Working across teams and organizations is key.

Requirements

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
• Bachelor's degree in computer science or equivalent.
• 5+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience.
• Fundamentals of Machine learning models, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model performance.

Qualifications

• Master's degree in computer science or equivalent.
• Hands-on experience with PyTorch or Jax - preferably involving developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware.

Skills

Not specified.

Benefits

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.

Pay

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.

Schedule

Not specified.