Amazon Senior Systems Engineer Robotic Storage Tech 

United States, Massachusetts 

192797938

Key job responsibilities
- Define, expand, and explore the design space for complex, multidisciplinary robotics and automation problems- Build quantitative models and analyses (Excel, MATLAB, Python, internal tools) to conduct trade studies, refine requirements, and understand key system drivers across the integrated systems of systems
- Perform technical risk assessments (such as TRL, Gap Analysis, FMEDA, HARA, etc.), devise mitigation plans, and create system test strategies
- Develop and communicate system integration and evaluation strategies and plans in support of program learning, technical risk reduction, verification, and validationA day in the life
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- Experience with eliciting and clarifying business and end user needs, and linking those needs to system concepts, requirements, and designs
- Significant depth and breadth of technical expertise to lead technical collaboration across diverse groups (e.g. hardware engineering, software engineering, program management)
- Experience coordinating and/or leading design teams to establish design goals, balancing business and technical trade-offs
- Experience identifying and analyzing dependencies, tradeoffs, and sensitivities across multi-disciplinary systems
- BS or equivalent in Engineering, Systems Engineering, Operations Research, or another STEM discipline

- Depth in one or more relevant domains: Industrial Automation, Robotic Vehicles/Manipulation, Autonomy, Perception and Controls
- Experience with industrial robotics and automated material handling solutions
- Experience with developing safety-critical systems and supporting related regulatory compliance needs
- Experience with warehouse logistics applications
- Experience developing and supporting hardware/software systems across the product life cycle
- Experience with scalable production systems
- Experience with machine learning systems