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Develop and maintain 2D and 3D visualization tools for autonomous vehicle development and testing. Build ReactJS, TypeScript, and Three.js interfaces that convert robotics sensor data into engineering insights. Create backend services and APIs, improve performance and scalability, collaborate with engineering, quality, and operations teams, and deploy production tooling with minimal disruption. The role also involves working with time-series robotics data, profiling applications, documenting systems, and supporting autonomous trucking infrastructure.

Leads system-level integration of autonomous vehicle sensors, computing, actuation, and vehicle systems from architecture through deployment. Develops test plans, coordinates cross-functional build events, provides design-for-manufacturing and design-for-test feedback, maintains technical documentation, troubleshoots integration issues, and defines requirements and acceptance criteria with systems and hardware teams.

The Functional Safety Software Engineer will develop technical safety requirements, lead software safety specification, and perform analyses to comply with ISO 26262, focusing on autonomous vehicles.

Provides technical escalation support for executives and global end users across Mac, Linux, Windows, mobile, printing, and conferencing systems. Supports LAN/WAN, WiFi, cloud networking, network security, and infrastructure deployment. Automates IT processes, contributes to infrastructure-as-code projects, troubleshoots network performance, documents architecture, configures policies, and collaborates with engineering and operations teams on platform support, testing, and maintenance.

Build and maintain scalable data stores and reliable data pipelines for robotics and safety datasets. Optimize AuroraDB and Elasticsearch performance, support data ingestion and cleanliness, and develop QuickSight or other dashboarding solutions for organizational reporting. The intern will collaborate on dependable data platforms, use modern software development workflows, and may contribute to cloud database infrastructure, automated data integration, and infrastructure-as-code projects.

Finance Manager supporting FP&A, investor relations, corporate development, strategy, and business operations. Responsibilities include financial planning, forecasting, modeling revenue, expenses, cash flow, costs, capital structure and M&A, performance reporting, variance analysis, FP&A system implementation, quarterly close, public company reporting, and process improvement. The role collaborates across functions and may evolve into team leadership.

Leads vehicle hardware integration, diagnostics, repairs, upgrades, quality inspections, and fleet reliability improvements for autonomous commercial vehicles. Coordinates complex technical initiatives across mechanical, electrical, manufacturing, and vehicle operations teams. Owns design-for-manufacturing and serviceability feedback, develops vehicle and subsystem BOMs, documentation, and verification plans, and drives testing, corrective actions, and sustaining engineering for fielded products.

Develop mission planning, routing, and fault management algorithms for autonomous trucks. Interns will implement safety-critical robotics solutions, improve routing through construction zones, apply human operations commands, deploy code on real-world vehicles, and work with a production C++ codebase under mentorship from robotics engineers. The role provides hands-on experience with autonomous vehicle technology and potential full-time opportunities.

Develop and validate high-fidelity simulations of articulated truck dynamics, model coupled tractor-trailer interactions and environmental effects, analyze simulation vs. on-road data, evaluate controller performance, and contribute to safety cases for driverless operation.

Build and lead hardware quality industrialization processes from the ground up. Partner with engineering, supply chain, operations, suppliers, and manufacturing partners to establish repeatable quality systems; evaluate supplier processes; analyze field returns; lead root-cause investigations and corrective actions; define hardware test parameters and acceptance limits; manage product supply verticals such as PCBAs and harnesses; and ensure compliance with certification requirements.