In this role at Frontier AI & Robotics, you will build and maintain the data infrastructure that supports robotics manipulation research. You will collaborate with platform engineers to transform raw robot session data into curated, trainable episodes. The team focuses on streaming ingestion pipelines, data curation, and quality controls while utilizing a modern cloud-native stack. This position emphasizes full-stack development and close collaboration with researchers to deliver impactful solutions.

• 5+ years of non-internship professional software development experience
• 5+ years of owning the full software development life cycle, including coding standards and code reviews
• Strong software engineering background with full-stack development experience
• Expertise in distributed systems, cloud computing, and scalable data processing
• Experience with data pipeline design, ETL processes, and data management systems
• Experience as a mentor, tech lead, or leading an engineering team
• 5+ years of programming experience with at least one software programming language
• 5+ years of leading design or architecture of new and existing systems
• Bachelor's degree in computer science or equivalent
• Experience with dataset curation and quality assessment techniques
• Knowledge of computer vision and multimodal data processing
• Deep understanding of machine learning fundamentals, particularly large-scale model training
• Background in research environments or supporting ML research workflows
• Experience with data visualization and annotation tooling
• Familiarity with modern data filtering and deduplication methodologies
• Proficiency in translating academic concepts into production systems

• Build and maintain the data infrastructure for robotics manipulation research
• Work alongside platform engineers to extend systems for data processing
• Own streaming ingestion pipelines and platform design
• Implement data curation and quality controls for research datasets
• Develop tools for scientists to transition from dataset to training job seamlessly
• Collaborate closely with researchers to understand their needs and iterate on solutions

• 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.