The Amazon Robotics team is seeking broad, curious engineers to join our robotic manipulation team. We holistically design, build, and deliver end-to-end robotic systems. Our team is also responsible for core infrastructure and tools that serve as the backbone of our robotic applications, enabling roboticists, machine learning scientists, software engineers, and hardware engineers to deploy systems in the field.
Key job responsibilities
- Define, expand, and explore the design space for complex, multidisciplinary robotics and automation problems.
- Identify and analyze the cross-functional tradeoffs between design alternatives, including impact on performance, schedule, cost, risk, complexity, and scale
- Break down and frame problems using concept of operations, use cases, structural/functional decompositions, and other system representations to clarify needs and align technical teams.
- Identify design choices to ensure our products are safe, reliable, and usable, and can be deployed and supported at Amazon scale.
- Perform technical risk assessments, devise mitigation plans, and create system test strategies.
- Define and continually refine metrics for measuring the performance and success / failure rates of Robotic operations.
- 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
- Develop and communicate system integration and evaluation strategies and plans for program learning, technical risk reduction, verification, and validation
- Drive and prioritize execution of system test campaigns that span lab and field testing environments along with subsystem development and test teams (test readiness reviews, test execution, post-test analysis and reporting)
- Experience with eliciting and clarifying business and end user needs, and connecting those needs to system concepts, requirements, and designs.
- Experience leading technical collaborations 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.
- Experience in integrated system design, industrial robotics and automated manipulations solutions.
- Experience with machine learning systems
- Experience with supporting hardware/software systems across the product life cycle.
- Experience with developing scalable and safety-critical systems.
- Experience with 1 or more relevant domains: Industrial Automation, Robotic Manipulation, Perception and Controls
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