Glydways

• Design and architect unified testing frameworks that enable seamless portability of test cases across Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and simulation environments. • Build, configure, and maintain physical HIL benches and associated hardware interfaces (e.g., CAN adapters) to simulate real-world vehicle environments. • Integrate automated HIL testing directly into the Continuous Integration (CI) pipelines, ensuring code stability and preventing regressions prior to merging. • Collaborate closely with software engineering teams to understand their needs, identify and implement improvements in our Hardware-in-the-Loop (HIL) Infrastructure and Continuous Integration (CI) systems. • Monitor and report on runtime performance, system health, and reliability metrics across all HIL testing platforms.

• Own the technical roadmap for our data platform, balancing near-term delivery against long-term scalability. • Develop analytics and data accessibility solutions for internal engineering teams as well as external stakeholders. • Set a high bar of technical excellence for data quality, validation, governance, and observability across the data lifecycle. • Mentor and grow a team of analytics engineers and data engineering by guiding technical decisions, reviewing code and designs, and supporting career development. • Partner with engineering leadership on planning, prioritization, and headcount. • Collaborate cross-functionally with both technical and non-technical customers to platform new data analytics workloads. • Research, evaluate, and integrate cutting-edge big data technologies to enhance our platform capabilities and influence build-vs-buy decisions.

• Act as the primary Product Owner for the Continuous Integration (CI) system, managing how it centrally runs builds and tests by seamlessly hooking into source control, the build system, and integrating tightly with Buildkite and GitHub • Design and implement short and long term scalable integrations that connect Bazel with the CI/CD pipelines to automate workflows, integrate with AI/LLM/Agent tools, trigger specific jobs, manage build artifacts, and ensure proper handoffs • Build, scale, and manage the CI AWS infrastructure, overseeing capacity planning and actively working to optimize performance by reducing job execution times • Develop comprehensive observability (including logs, metrics, traces, and alerts) into the CI infrastructure to accurately track system efficiency, identify errors, and focus reliability efforts. • Maintain the CI system as a reliable, high-performing platform, providing day-to-day on-call support, incident management, and troubleshooting for the wider software engineering organization.

• Develop and enhance state-of-the-art algorithms for localization and mapping from LIDAR/RADAR/UWB Range Sensors/IMU/Encoders, etc. • Improve upon existing integrity monitoring capabilities to provide a robust, safe localization system for passenger rides • Work closely with teammates by conducting and receiving code reviews and demonstrating attention to detail. • Conduct simulation (including developing and passing unit tests, subsystem tests, and end-to-end scenarios) and live testing of the autonomy stack. • Perform detailed analysis of algorithm and system performance by replaying logs of simulated and live testing and augmenting analysis capabilities. • Participate in the design of safety-critical software components of the Glydcar and wayside systems. • Deliver answers and results to tough problems including providing cm-level accurate localization and mapping in GPS-denied environments.

• The Quality Manager reports to the SVP of Safety, Quality and Compliance and is a key member of the Safety, Quality and Compliance (SQC) organization. • This role works at the intersection of engineering, supply chain, operations, and safety, providing independent quality oversight across the full product lifecycle. • The Quality Manager partners closely with hardware and software engineering, systems engineering, test operations, and program management to embed a culture of quality discipline and continuous improvement throughout the organization. • We're looking for a Quality Manager to lead Glydways’ progression toward ISO 9001 certification, including system readiness, audit preparedness, and registrar engagement. • This role goes beyond documentation, you will define how the organization plans, controls, assures, and improves quality across all functions. • While you are comfortable operating in an environment where systems and processes are being defined and matured, not inherited, you will support the Glydways Quality Management System (QMS), drive its implementation and continual improvement, lead the internal audit program, manage corrective and preventive actions, enforce formal design review gates, and ensure that configuration management practices provide full traceability and auditability. • You will prepare the organization for management reviews by compiling quality performance data, audit results, and improvement action status. • As Glydways transitions toward pilot deployments and revenue service, your work will directly determine whether our products meet the rigorous safety and quality standards that public transit demands. • You will ensure that what we build is safe, reliable, and worthy of public trust.

• Manage the safety and certification of Glydways automated transit network projects for passenger operation, from late-stage design through testing, commissioning, and operational readiness • Tailor system safety, safety certification, and operational safety plans  to comply with the project regulatory environment, operator requirements, and project schedule • Lead project-specific hazard analysis and safety case development to achieve safety certification and approvals for system operation, working with transit agencies, regulators, independent safety assessors and the authority having jurisdiction • Perform operational hazard analysis for automated transit system projects, including egress analysis, fire life safety, maintenance hazard analysis, job hazard analysis for operations and maintenance tasks, and human-machine interface analysis • Coordinate with engineering, verification and validation, and project management teams, as well as regulators, to determine project requirements and deliver safety artifacts • Identify, organize, track, and document all necessary safety activities within the project, and manage safety-related application conditions across Glydways interfaces • Work closely with operations to ensure safety is maintained throughout day-to-day service

• Develop interfaces between autonomy software components, hardware modules, and the track infrastructure systems. • Design, implement, and maintain simulation capabilities and metrics. • Maintain core onboard functionality around fault handling, vehicle communication, and top-level pipelines. • Work with the onboard integration team to tie hardware to the autonomy stack. • Work onboard and offline to fix bugs across the stack. • Write safety-rated requirements and code for the vehicle safety system. • Develop tooling to improve logged data processing (including visualization). • Conduct and support on track testing of Glydways vehicles. • Participate in design review, planning, and code review.

• Lead development of an interactive dispatch mapping tool that allows users to place, size, and configure stations, junctions, and depots; connect them by drawing paths; and export the resulting network so it can be ingested directly by an existing scenario simulator. • Design intuitive editing workflows and UI interactions (e.g., drag-and-drop placement, resize handles, path drawing, property panels, and validation feedback) to enable engineers and operators to quickly build, modify, and verify dispatch maps without manual file editing. • Integrate simulation outputs, demand matrices, routing data, and performance metrics into the mapping tool to enable rapid “what-if” analysis and scenario exploration. • Contribute production-quality code to the Dispatch codebase in C++, Typescript, and/or Python, including unit tests, integration tests, and clear documentation. • Collaborate with teammates to translate high-level operational or commercial questions (e.g., “How many vehicles do we need for this project?” or “What if charging is slower?”) into well-posed optimization or simulation studies. • Participate in code reviews and design discussions, giving and receiving feedback to improve both code quality and overall system design.

• Implement state-of-the-art onboard multimodal multitask ML perception models, and finetune them to improve performance • Develop custom adaptations (such as layers, loss functions, etc.) to improve performance on our datasetResearch and development in various areas, including multiview sensor fusion for redundancy, robustness, and safety critical operation; and scene understanding with a focus on anomaly detection. • Design and perform experiments, and share and present findings, potentially as a peer-reviewed publication. • Work with multimodal (camera, lidar, radar) datasets from a multiagent autonomous system

• Implement and own perception algorithms spanning detection, classification, sensor fusion, and multi-object tracking using both ML-based and classical methods • Develop end-to-end perception pipelines from raw sensor input (camera, LiDAR, radar) to structured scene understanding outputs consumed by downstream autonomy modules • Develop and maintain simulation, log-replay, visualization, and offline analysis workflows to maximize test coverage and accelerate validation prior to on-vehicle deployment • Build tooling and infrastructure for dataset management, model training, evaluation, and deployment at scale