Sensor System Engineer (Robotic vision), Amazon Robotics

Overview As a Sensor System Engineer in the Machine Vision Systems team, you bridge customers, product strategy, and deep technical execution to deliver sensor solutions for next‑gen robotic platforms. You will shape requirements, architectures, and technology choices that impact navigation, perception, and manipulation. Your work connects cross‑functional teams to drive scalable, reliable sensing across mechanical, electrical, and optical domains. This is a high‑impact, cross‑functional SME role. Compensation / BenefitsMedical, dental, and vision coverage401(k) planPaid time off (PTO)Maternity and parental leave optionsRSUs / sign‑on payments ResponsibilitiesEngage with customers to gather use‑case requirements and translate them into technical specs and design goalsPartner with product management to define requirements, prioritize features, and shape the sensor roadmapContribute to sensor system architecture ensuring performance, cost, reliability, and integration across domainsBenchmark sensing technologies, analyze competitors, and identify differentiation opportunitiesIdentify technical risks and develop mitigation strategies for customer applicationsCollaborate across hardware, firmware, optical, mechanical, electrical, test, and manufacturing teams to align on requirements and priorities Key requirementsBachelor in Electrical Engineering, Computer Engineering, or Systems Engineering5+ years in systems engineering, sensor development, or related rolesExperience translating customer needs into product requirements for customer‑facing servicesProven ability to work across cross‑functional teams and at various organizational levelsStrong understanding of sensor technologies (imaging, depth sensing, LiDAR, ToF)Strong communication and presentation abilitiesCross‑functional collaborationCustomer engagement and requirements gatheringImaging sensors, depth sensing, LiDAR, ToF or similarSensor system design and integrationOptelelectronic packaging or system‑level integration (mentioned as context)