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Build and architect React/TypeScript web applications powering internal engineering tools (simulation, fleet tracking). Collaborate with simulation, analytics, and ops teams to integrate systems, shape APIs, and deliver performant, reliable UIs that enable diagnostics, scenario mining, and fleet configuration.

Improve developer tooling and CI/CD for a large monorepo: debug builds, optimize build/deploy speed, maintain pipelines, implement observability and DevSecOps, and manage third-party package updates.

As a Safety Performance Analyst, you'll review and classify safety-critical events from autonomous vehicle data, enhance safety frameworks, and communicate findings to teams. Your role includes using Python and SQL for data analysis and reporting.

Own and architect the top-level safety case for autonomous vehicles, decompose claims and required evidence against UL 4600 and aligned standards, coordinate cross-pillar evidence production, maintain traceability tooling, prepare for third-party assessments, and report safety case maturity and gate readiness to leadership.

The IT Operations Specialist supports internal IT processes, onboarding, offboarding, equipment provisioning, and workplace IT needs while ensuring operational workflows are organized and efficient.

Manage a portfolio of university partners for Avride's delivery robot program, serve as university advocate internally, drive adoption and satisfaction, respond to inquiries, maintain account records, identify growth opportunities, and support team goals while traveling up to 50%.

The Senior Brand Designer will develop and maintain Avride's visual identity, design marketing materials, uphold design standards, and collaborate on campaign concepts. They will influence visual communication for a tech-focused brand.

This role involves developing and optimizing machine learning models for autonomy, managing datasets, enhancing training pipelines, and collaborating across teams to integrate ML solutions in autonomous vehicles and delivery robots.

Develop and implement on-board localization and cloud mapping algorithms, optimizing rover localization accuracy and cloud mapping processes in challenging environments.

The ML Platform Engineer will build scalable architecture for ML training workloads, optimize system performance, and collaborate with teams for enhanced efficiency on Kubernetes.