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Amazon Flex hiring Hardware Systems Integration Engineer, Santa Clara, California

Hardware Systems Integration Engineer

Amazon Flex

Santa Clara, California
Posted today

Senior Hardware Engineer (Mechanical)We are seeking a Senior Hardware Engineer (Mechanical) to lead the mechanical design and integration of an autonomy solution into Amazon's last-mile delivery ecosystem, with a primary focus on delivery vans. This role owns the mechanical systems required to safely, reliably, and efficiently support sensors, compute, and controls integration into a delivery vehicle.

The Senior Hardware Engineer will work at the intersection of vehicle engineering, sensors and compute hardware, operations, and safety, translating operational requirements into production-ready mechanical designs that can scale across thousands of vans and delivery stations. This role requires strong mechanical design expertise, deep ownership, and the ability to balance robustness, cost, serviceability, and manufacturability in a high-volume logistics environment.

Key Job ResponsibilitiesIntegrate LiDAR, radar, cameras, GNSS/IMU, and compute hardware into the vehicle structure while optimizing for each sensor's performance requirements

Translate operational and autonomy requirements into clear mechanical requirements, tolerances, and design constraints

Partner with electrical, firmware, sensors, and vehicle engineering teams to ensure end-to-end system integration

Drive designs through concept, prototyping, validation, and production, including DFMEA, tolerance analysis, and environmental testing

Generate 3D CAD models, detailed drawings with GD&T, and complete BOM documentation

Support prototype builds, vehicle integration, and fleet validation testing

Conduct vibration, shock, durability, and environmental validation testing

Ensure solutions meet safety, ergonomics, and regulatory requirements, including vehicle and workplace safety standards

Optimize designs for cost, manufacturability, durability, and ease of maintenance at fleet scale

Support pilot deployments and field testing, rapidly iterating designs based on real-world feedback from drivers and operations teams

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