Sr. Software Development Engineer, FAR

Sr. Software Development Engineer, FAR (Frontier AI & Robotics)Job ID: | Amazon.com Services LLCJoin the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renowned AI pioneers like Pieter Abbeel, Rocky Duan, and Peter Chen to make breakthrough foundation models run at production scale. As a Senior Machine Learning Engineer embedded in our science team, you'll be instrumental in transforming cutting‑edge research into high‑performance production systems. You'll collaborate directly with scientists to optimize large‑scale transformer architectures for robotics applications, leveraging your expertise in CUDA and TensorRT to achieve unprecedented inference efficiency at Amazon scale.In this role, you'll balance deep technical optimization work with strategic input on model architecture decisions, ensuring our innovative robotics models are designed with performance in mind from the ground up. You'll leverage NVIDIA's acceleration stack and other compilation techniques to tackle ambitious performance targets, working at the intersection of large language models and real‑world robotics applications.Key Job ResponsibilitiesDrive inference optimization strategies for large‑scale foundation models using TensorRT, CUDA, and other NVIDIA toolsCollaborate closely with scientists to influence model architectures for optimal hardware utilizationDesign and implement efficient compilation pipelines for complex transformer architecturesDevelop comprehensive benchmarking frameworks to measure and optimize model performanceBuild robust monitoring solutions to ensure reliable model serving at scaleExplore and evaluate emerging optimization techniques including ONNX Runtime and other ML compilersMaintain high engineering standards through proper testing, documentation, and code review practicesA Day in the LifeOptimize transformer blocks using custom CUDA kernels and TensorRT optimization techniquesPartner with scientists to analyze model architectures and propose efficiency improvementsImplement and benchmark various optimization strategies for large‑scale modelsDebug performance bottlenecks using NVIDIA profiling toolsParticipate in technical discussions about new model architectures with the science teamDesign and maintain performance monitoring systems for production deploymentPrototype new acceleration approaches using emerging compilation frameworksAbout the TeamAt Frontier AI & Robotics, we're not just advancing robotics – we're reimagining it from the ground up. Our team, led by pioneering AI researchers Pieter Abbeel, Rocky Duan, and Peter Chen, is building the future of intelligent robotics through groundbreaking foundation models and end‑to‑end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real‑world scenarios.What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real‑world datasets to train and deploy state‑of-the‑art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real‑world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world‑class researchers, and seeing your innovations deployed at unprecedented scale.Basic QualificationsBachelor's degree in computer science or equivalent5+ years of non‑internship professional software development experience5+ years of programming with at least one software programming language experience5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experienceExperience as a mentor, tech lead or leading an engineering teamStrong expertise in Python, C++, and CUDA programmingExperience with TensorRT or similar ML optimization frameworksTrack record of optimizing ML models for productionPreferred QualificationsExpertise in NVIDIA's ML stack (cuDNN, CUDA Graph, etc.)Experience with ML compilers (ONNX Runtime, TVM, etc.)Experience with transformer model optimizationBackground in performance profiling and optimizationExperience working directly with research teamsTrack record of building robust monitoring systemsExperience with large‑scale ML serving systemsOur compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.#J-18808-Ljbffr