Amazon Software Development Engineer Frontier AI & Robotics 

United States, California, San Francisco 

888194409

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- 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 practicesA 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- Design and maintain performance monitoring systems for production deployment
- Prototype new acceleration approaches using emerging compilation frameworks

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ 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 equivalentPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.