Join Amazon's Frontier AI & Robotics team at the forefront of the robotics revolution, where you'll contribute to breakthrough foundation models at production scale. As a Software Development Engineer embedded in our science team, you'll transform cutting-edge research into high-performance production systems. The role combines deep technical optimization work with strategic input on model architecture decisions, ensuring innovative robotics models are designed for optimal performance.
You'll work directly with scientists to optimize large-scale transformer architectures for robotics applications, leveraging expertise in CUDA and TensorRT to achieve unprecedented inference efficiency at Amazon scale. The position involves developing sophisticated perception systems and adaptive manipulation strategies for complex, real-world scenarios.
At Frontier AI & Robotics, we're reimagining robotics from the ground up, building intelligent systems through frontier foundation models and end-to-end learned systems. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models that scale to meet the demands of Amazon's global operations.
The role offers the opportunity to work with world-class researchers while seeing your innovations deployed at unprecedented scale. You'll be responsible for optimizing transformer blocks, implementing benchmarking strategies, and maintaining performance monitoring systems for production deployment. The position requires expertise in Python, C++, and CUDA programming, with experience in ML optimization frameworks and a track record of building robust systems.
Join a team that combines ambitious research vision with practical impact, working on everything from multimodal perception using images, videos, and sensor data to sophisticated manipulation strategies. This is an opportunity to push the boundaries of what's possible in robotics while contributing to systems that scale across Amazon's global infrastructure.