We're enhancing the shopping experience on Amazon through the conversational capabilities of large language models, and we're looking for innovative professionals who are passionate about technology and customer experience. You'll have the opportunity to drive breakthrough innovations in LLM inference and post-training efficiency while working alongside talented scientists, engineers, and technical program managers (TPMs) to create solutions that serve our customers.

If you're excited about optimizing the computational heart of AI systems, collaborating with a dynamic team, and contributing to this evolving field, we'd love to have you join our mission to unlock unprecedented LLM performance!

Key job responsibilities
We're looking for an experienced Software Development Engineer with deep expertise in GPU/customized chip kernel optimization and ML acceleration to lead projects in architecting, designing, developing, and optimizing high-performance kernel implementations for large language model. You'll guide your team in creating and optimizing innovative kernels, custom operators, and low-level optimizations that maximize hardware utilization and minimize computational overhead.
In this role, you'll establish best practices for kernel development, memory management, and parallel computing that dramatically reduce inference latency and boost throughput for transformer-based models. You'll work with your team to develop kernel fusion techniques, attention mechanism optimizations, and matrix multiplication accelerations at scale, partnering with engineers and scientists in a fast-paced environment to deliver measurable performance gains. You'll also drive technical roadmap, performance benchmarking, and optimizations focused on kernel-level improvements.

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