Sr. Software Development Engineer, FAR (frontier AI & Robotics)

Senior Machine Learning Engineer

Join 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 Responsibilities

• Drive inference optimization strategies for large-scale foundation models using TensorRT, CUDA, and other NVIDIA tools
• Collaborate closely with scientists to influence model architectures for optimal hardware utilization
• Design and implement efficient compilation pipelines for complex transformer architectures
• Develop comprehensive benchmarking frameworks to measure and optimize model performance
• Build robust monitoring solutions to ensure reliable model serving at scale
• Explore and evaluate emerging optimization techniques including ONNX Runtime and other ML compilers
• Maintain high engineering standards through proper testing, documentation, and code review practices

A Day in the Life

Optimize transformer blocks using custom CUDA kernels and TensorRT optimization techniques. Partner with scientists to analyze model architectures and propose efficiency improvements. Implement and benchmark various optimization strategies for large-scale models. Debug performance bottlenecks using NVIDIA profiling tools. Participate in technical discussions about new model architectures with the science team. Design and maintain performance monitoring systems for production deployment. Prototype new acceleration approaches using emerging compilation frameworks.

About the Team

At 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.