DESCRIPTION:

We're advancing LLM-powered shopping experiences for Amazon Stores by combining leading models with Amazon's e-commerce expertise and customer insights. We're looking for a Senior Software Development Engineer to lead the design and optimization of systems that adapt, evaluate, and serve these models, making shopping more intuitive, conversational, and personalized.

In this role, you will tackle engineering challenges across LLM post-training, including reinforcement learning, and high-performance inference. You will build systems that enable a continuous feedback loop-learning from real customer interactions to improve models, evaluate their effectiveness, and bring better shopping experiences to customers. Working closely with scientists and engineers, you will accelerate experimentation and deliver reliable, cost-efficient post-training and inference systems at scale.

Key job responsibilities
* Lead the design and development of scalable LLM post-training systems, including supervised fine-tuning and reinforcement learning.

* Optimize inference for production serving, RL rollouts, and evaluation, improving latency, throughput, and cost efficiency.

* Build a continuous feedback loop that turns real customer interactions into model improvements and better shopping experiences.

* Develop tooling to accelerate experimentation, evaluation, and deployment, with visibility into model quality and system performance.

* Partner with scientists and engineers to deliver reliable production systems, drive technical direction, and mentor engineers.

BASIC QUALIFICATIONS:

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Experience with vLLM, SGLang, TensorRT or similar platforms in production environments
- Experience with CUDA kernels or ML/low-level kernels

PREFERRED QUALIFICATIONS:

- 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
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, CA, Palo Alto - 193,300.00 - 261,500.00 USD annually
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually