Amazon Software Development Engineer Alexa Smart Home 

United States, California, Sunnyvale 

291623699

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 comprehendkey 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 validation
A 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
- Experience spearheading technical partnerships and creating alignment across diverse groups (e.g. hardware engineering, software engineering, program management)
- Experience identifying and analyzing dependencies, tradeoffs, and sensitivities across multi-disciplinary systems
- BS or equivalent in Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Computer Science, Computer Engineering, Systems Engineering, Operations Research, Mathematics, Physics, or another STEM discipline
- 8 years or more of experience

- 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