Amazon
Sr. Robotics Software Engineer, Fauna
$185K–$250K
New York, NY · Senior · Full-time · Posted Oct 7, 2026
- Experience
- 5+ years for software development, programming, and design or architecture leadership; experience as a mentor, tech lead, or engineering team lead is also required.
- Education
- Bachelor's degree or above in robotics, mechanical/mechatronics engineering, systems engineering, or related field.
About the job
Leads the architecture, development, and production delivery of robotic software systems and developer tools at Fauna Robotics.
What you'll do
- Drive architecture and design for robotic systems, including perception, navigation, motor control, reasoning, and human-robot interaction.
- Own end-to-end delivery of complex software systems through production deployment and operational excellence.
- Lead cross-functional collaboration, technical roadmaps, and development of production-level SDKs and engineering tools.
What they ask for
- 5+ years of non-internship professional software development experience and 5+ years programming in at least one software language.
- 5+ years leading design or architecture of new and existing systems, including design patterns, reliability, and scaling.
- Experience mentoring, serving as a tech lead, or leading an engineering team; and leading design, build, and production deployment of complex software solutions.
- Bachelor's degree or above in robotics, mechanical/mechatronics engineering, systems engineering, or a related field; knowledge of data structures, algorithm design, statistics, and system design.
Nice to have
- Experience in robotics design, automation, control systems, or related product development.
- Experience training and deploying machine learning systems, mentoring or training engineers, or delivering developer-facing products with robust SDKs and fault-tolerant distributed systems.
Pay
USD 184,900.00 - 250,200.00 annually (base salary)
Tools
SDKs, machine learning
AI focus
The role includes robotic reasoning and collaboration with machine learning teams; preferred experience includes training and deploying machine learning systems for large-scale optimizations.
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