As a Senior Machine Learning Engineer on Amazon's Frontier AI & Robotics team, you will work with leading AI researchers to optimize large-scale transformer architectures for robotics applications. Your role will involve transforming innovative research into high-performance production systems while ensuring model performance is prioritized from the ground up. You will leverage your expertise in CUDA and TensorRT to achieve exceptional inference efficiency. This position offers the opportunity to push the boundaries of robotics and see your innovations deployed at scale.

• Bachelor's degree in computer science or equivalent
• 5+ years of non-internship professional software development experience
• 5+ years of programming experience with at least one software programming language
• 5+ years of experience leading design or architecture of new and existing systems
• Strong expertise in Python, C++, and CUDA programming
• Experience with TensorRT or similar ML optimization frameworks
• Track record of optimizing ML models for production
• Expertise in NVIDIA's ML stack
• Experience with ML compilers such as ONNX Runtime
• Experience with transformer model optimization
• Background in performance profiling and optimization
• Experience working directly with research teams
• Track record of building robust monitoring systems
• Experience with large-scale ML serving systems

• Drive inference optimization strategies for large-scale foundation models using TensorRT and CUDA
• 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
• Maintain high engineering standards through proper testing, documentation, and code review practices
• 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

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.