Sr Sde, Agi Inference- Genai

Overview Job ID : | Amazon.com Services LLC The Sensory Inference team at AGI is a group of innovative developers working on ground-breaking multi-modal inference solutions that revolutionize how AI systems perceive and interact with the world. We push the limits of inference performance to provide the best possible experience for our users across a wide range of applications and devices. We are looking for talented, passionate, and dedicated Inference Engineers to join our team and build innovative, mission‑critical, high‑volume production systems that will shape the future of AI. This role offers the exciting chance to work in a highly technical domain at the boundary between fundamental AI research and production engineering such as Quantization, Speculative Decoding, and Long Context for inference efficiency. Responsibilities Develop high-performance inference software for a diverse set of neural models, typically in C / C++ Design, prototype, and evaluate new inference engines and optimization techniques Participate in deep‑diving analysis and profiling of production code Collaborate closely with research scientists to bring next‑generation neural models to life Partner with internal and external hardware teams to maximize platform utilization Work in an Agile environment to deliver high‑quality software against tight schedules Hold a high bar for technical excellence within the team and across the organization 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 inference frameworks such as PyTorch, TensorFlow, ONNXRuntime, TensorRT, LLaMA.cpp, etc. Preferred Qualifications 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Experience with inference frameworks such as PyTorch, TensorFlow, ONNXRuntime, TensorRT, LLaMA.cpp Proficiency in performance optimization for CPU, GPU, or AI hardware Proficiency in kernel programming for accelerated hardware using programming models such as CUDA, OpenMP, OpenCL, Vulkan, and Metal Experience with latency‑sensitive optimizations and real‑time inference Knowledge of model compression techniques (quantization, pruning, distillation, etc.) Experience with LLM efficiency techniques like speculative decoding and long context Equal Opportunity & Inclusion 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. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accommodation & Benefits 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 for more information. If the country / region you’re applying in isn’t listed, please contact your Recruiting Partner. Compensation & Benefits 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 USA, CA, Sunnyvale - 193,300.00 - 261,500.00 USD annually End of posting #J-18808-Ljbffr