Systems Engineer – Autonomous Vehicles
Translates ambiguous requirements into clear, testable system-level requirements for autonomous-vehicle hardware/software integration.
Remote • United States
- Full Time
- $180,000 – $250,000/year
- Min. 6 YOE
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Translates ambiguous requirements into clear, testable system-level requirements for autonomous-vehicle hardware/software integration.
Lead organization-wide quality management activities including ISO 9001 readiness, internal audits, supplier quality, and CAPA to ensure safe, reliable transit products.
Lead design of end-to-end rider and operator experiences, building scalable UI components and cross-platform flows.
Owns perception integration, multi-sensor fusion, and state estimation pipelines for robust obstacle tracking and testing.
Owns design and maintenance of high-throughput TRR backend, including ride matching, station queueing, and fare calculation.
Embedded firmware development for real-time systems with cross-functional collaboration and hardware integration.
Security-focused role implementing OT cybersecurity for automotive/rail systems with TARA, CSMS, and ISO/SAE 21434 compliance.
Lead safety case development and certification activities for automated transit network projects to secure approvals for passenger operation.
Defines market positioning and category narrative; aligns cross-functional marketing to strategic objectives for cities, partners, and investors.
Hands-on integration lead bridging hardware, software and control systems for end-to-end vehicle integration.
Maintains accurate inventory records, coordinates receiving/shipping, and supports procurement for autonomous-vehicle hardware in a fast-paced, hardware-focused environment.
Develop interfaces between autonomy software components, hardware modules, and the track infrastructure systems.
Maintains on-prem compute clusters, hardware, and Kubernetes observability to support Glydways deployments.
Owns onboard software design, build, test, and integration for Glydways vehicles with high-performance interfaces to sensors and actuators.
Own CI/CD pipeline by designing scalable builds, integrations, and observability to accelerate software delivery.
Multimodal ML perception intern designing onboard models for robust autonomous driving perception stack.