Motional

Motional

Staff Engineer, OEM Platform Integration

Pittsburgh, Pennsylvania, United States · Staff+

Sponsorship not specified$144k-$191kDetected 7 days ago
Platform EngineeringProduct ManagementCATIASystems EngineeringHardware DesignLeadershipCommunication

About the role

  • Motional's Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city's goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way.
  • With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.
  • This role is based in our Pittsburgh office and requires in-office days each week.

Responsibilities

  • Lead technical and programmatic execution for the integration lifecycle, establishing, monitoring, and managing the master integration schedule against vehicle-level design milestones, build events, and gate assessments.
  • Partner on the development and execution of platform testing and certification plans, tracking vehicle platform testing schedules and ensuring successful validation against system-level performance targets on time.
  • Lead technical program reviews, gate assessments, and master timing milestone tracking, proactively developing risk mitigation plans to ensure platform maturity aligns with vehicle build timelines.
  • Provide regular, data-driven status updates to technical and program leadership regarding design and integration maturity, test progress, open cross-functional issues, and key project milestone metrics.
  • Own the complete vehicle hardware integration of the autonomous driving system with the base vehicle platform, managing shared requirements and Interface Control Documents (ICDs) and ensuring seamless mechanical, electrical, and network compatibility.
  • Drive technical discussions and cross-functional alignment between the vehicle manufacturer's engineering teams and internal Motional technical teams to coordinate vehicle platform requirements, design, and component integration.
  • We aren't just developing driverless cars
  • To do so successfully, we must design for everyone in our cities and on our roads.
  • We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization.
  • Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet.

Requirements

  • 8+ years of experience in automotive hardware design, release engineering, or vehicle integration, with direct experience managing complex OEM/tier-supplier vehicle programs or platform integrations.
  • Demonstrated experience driving multi-disciplinary engineering activities, cross-functional milestone tracking, and risk mitigation strategies throughout the full automotive product lifecycle.
  • Bachelor's or Master's degree in Electrical, Mechanical, Computer, or Systems Engineering (or a related field).
  • Fundamental knowledge of automotive engineering documentation, validation processes, and quality standards (including DVP&R, DFMEA, and PFMEA).
  • Familiarity with CAD systems (e.g., NX, CATIA), Product Lifecycle Management (PLM) systems (including requirement management tools such as Polarion), and engineering release workflows.
  • Strong understanding of vehicle integration, packaging, assembly processes, and functional safety standards (ISO 26262).
  • This role serves as the central orchestrator for the end-to-end hardware integration required to marry our autonomous driving technology with the base vehicle.

Nice to have

  • Professional proficiency or fluency in Korean to facilitate direct technical and program communication with international vehicle manufacturing partners.

Compensation

  • $144,000 - $191,250 USD
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This listing is sourced directly from Motional's careers page and normalized into a canonical job model.