Jobs at Avride

Lead development of Avride's control system by architecting and shipping Model Predictive Control (MPC) solutions in modern C++, identifying vehicle dynamics parameters from real-world data, profiling for real-time performance, and providing technical leadership, code review, and mentorship to a small controls team while aligning with Planning and Hardware.

As a Senior Frontend Engineer, you will develop low-latency interfaces for autnomous vehicle control, optimizing for performance and integrating real-time data.

Develop motion planning algorithms for autonomous robots, ensuring safety, smoothness, and reliability in navigation. Collaborate with various teams for improvement and evaluation.

As a Machine Learning Engineer, you will design, train, and deploy ML models for motion planning, develop data pipelines, and integrate models for real-time use in autonomous vehicles.

The role involves designing and implementing Avride's core framework for self-driving technology, focusing on performance, reliability, and collaboration with various teams for system improvements.

The ML Engineer will develop motion planning models using ML techniques, simulate interactions for outdoor delivery robots, and collaborate across teams for integration.

Join Avride's robot simulation team to develop a hybrid simulation framework, integrating real-world data and synthetic environments for autonomous driving tests.

The Site Infrastructure Engineer will build and maintain server and network infrastructure for autonomous vehicle operations, ensuring high performance and reliability.

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 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.

Design, develop, and maintain low-latency device drivers and sensor pipelines for cameras, LiDAR, radar, IMU, GNSS and other sensors. Implement timestamping, filtering, preprocessing, and sensor-health analysis. Collaborate with embedded, perception, and localization teams to integrate and debug hardware/software, optimize performance, and act as the sensor-domain expert guiding solutions and troubleshooting.

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.

The Contract Talent Partner will manage full-cycle recruiting for hourly contract teams, conduct candidate screenings, coordinate logistics, and enhance the hiring experience.

Lead and optimize U.S. HR Operations including HR systems, payroll, benefits, compliance, employee records, performance management, workforce planning, and HR analytics to support scalable growth and a positive employee experience.

As a Simulation Backend Engineer, you'll design and optimize backend systems for distributed simulation workloads, ensuring high efficiency and reliability.