Software Development Engineer, Alexa Excellence, Alexa LLM Inference, Capacity, & Efficiency
Are you passionate about building infrastructure that powers AI at scale? Do you want to work on systems that serve millions of Alexa customers every day? The Alexa AI Logistics for Infrastructure, Cost, and Efficiency (ALICE) team is looking for Software Development Engineers to join our Inferences Services Team. We build products and solutions that enable Alexa service owners to analyze, forecast, and manage LLM infrastructure drivers, costs, and usage and inferences at large scale. You will be working on high-visibility, high-impact systems that are critical to the success of Alexa's next generation of AI experiences.
Responsibilities
- Design, develop, and maintain large-scale distributed systems and infrastructure services, leveraging GenAI at all phases of the development cycle
- Work on GPU fleet management and optimization for low-latency machine learning inference workloads at very large scale
- Collaborate with senior engineers/scientists to deliver features from design through production deployment
- Set standards and contribute to the operational excellence of Tier-1 production services
- Write clean, testable, maintainable code and participate actively in code reviews
- Work closely with partner teams across Alexa and AWS (Bedrock etc) to deliver cross-functional projects
- Research and identify opportunities to improve service performance, reliability, and cost efficiency
Requirements
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
- Preferred: 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Preferred: Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
Benefits
Amazon 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.
Pay
The base salary range for this position is: USA, CA, Sunnyvale - $165,200.00 - $223,600.00 USD annually; USA, WA, Bellevue - $143,700.00 - $194,400.00 USD annually. The package includes sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on experience, qualifications, and location.