Systems Engineer
Turn ambiguity into concrete, testable system requirements and verifications for autonomous-vehicles programs.
Remote • United States
- Full Time
- $180,000 – $250,000/year
- Min. 6 YOE
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Turn ambiguity into concrete, testable system requirements and verifications for autonomous-vehicles programs.
Lead civil infrastructure initiatives, coordinating with product/engineering to align vehicle and infrastructure design.
Lead implementation and continual improvement of QMS toward ISO 9001 readiness; oversee audits, CAPA, supplier quality, and design gates.
Develop state-of-the-art localization/mapping algorithms, validate via simulation/live tests, and analyze system performance.
Leads end-to-end rider and operator experiences designing scalable UI components and flows for autonomous transit platforms.
Design and implement high-performance C++ perception modules with multi-sensor fusion for EKF-based tracking and robust obstacle detection.
Owns backend design for high-throughput TRR system, building services on PostgreSQL/Redis, and improving observability.
Embedded firmware design, real-time systems, and hardware collaborate to deploy on vehicle compute with RTOS.
Oversees OT cybersecurity architecture for Glydways’ V2X networks, performing TARA, secure code reviews, and vulnerability management.
Senior backend engineer designing state sharing and failover for real-time dispatch system with C++ emphasis.
Lead project safety case development and certification for automated transit networks, coordinating with regulators and operators.
Market-shaping leadership defining positioning and category narrative across cities, partners, and investors.
Owns end-to-end vehicle integration, bridging hardware, software, and control systems to deliver real-world performance.
Maintains accurate inventory records, conducts cycle counts, and coordinates shipments for autonomous vehicle components and test equipment.
Develop interfaces between autonomy software components, hardware modules, and the track infrastructure systems.
Build and maintain on-prem compute infrastructure; manage Kubernetes, hardware, and runbooks to support Glydways deployments.
Owns onboard software design, build, and test for Glydways vehicle systems, integrating sensors and runtimes to enable autonomous operation.
Own CI infrastructure, integrates with Buildkite and GitHub, and optimizes build/test workflows.
Multimodal ML perception intern developing robust onboard models for autonomous driving on Glydcars, focusing on safety-critical sensor fusion.