Sr. SDE, Frontier AI Robotics
About The Position
At Frontier AI & Robotics, we're not just advancing robotics – we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier 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.
Requirements
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Strong software engineering background with full-stack development experience
- Deep understanding of machine learning fundamentals, particularly large-scale model training
- Expertise in distributed systems, cloud computing, and scalable data processing
- Experience with data pipeline design, ETL processes, and data management systems
- Proficiency in translating academic concepts into production systems
- 5+ 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 equivalent
- Experience with dataset curation and quality assessment techniques
Nice To Haves
- Knowledge of computer vision and multimodal data processing
- Background in research environments or supporting ML research workflows
- Experience with data visualization and annotation tooling
- Familiarity with modern data filtering and deduplication methodologies
Responsibilities
- Build and maintain scalable data infrastructure to support novel AI robotics research.
- Design dataset management systems including automated pipelines for data ingestion, processing, and curation.
- Develop visualization and inspection tools for dataset exploration and quality assessment.
- Research and implement state-of-the-art data filtering techniques including deduplication, quality scoring, and model-based filtering methods.
- Collaborate directly with science teams to support research projects through both infrastructure development and hands-on technical contribution to data preparation workflows.
Benefits
- Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
- For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
