Senior Interdisciplinary Systems Engineer
We are seeking broad, curious engineers to join our robotic manipulation team. Our team holistically designs, builds, and delivers end-to-end robotic systems.
Key Job Responsibilities:
* Define, expand, and explore the design space for complex, multidisciplinary robotics and automation problems.
* Identify and analyze 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.
* Ensure 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 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).
Basic Qualifications:
* Elicit and clarify business and end-user needs, and connect those needs to system concepts, requirements, and designs.
* Lead technical collaborations and create alignment across diverse groups (e.g., hardware engineering, software engineering, program management).
* Identify and analyze 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.
PREFERRED QUALIFICATIONS
* Experience in integrated system design, industrial robotics, and automated manipulations solutions.
* Experience with machine learning systems.
* Experience supporting hardware/software systems across the product life cycle.
* Experience developing scalable and safety-critical systems.
* Experience with 1 or more relevant domains: Industrial Automation, Robotic Manipulation, Perception, and Controls.
Estimated Salary: $140,000 - $180,000 per year.