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Developer and operator of autonomous vehicles and delivery robots

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Lead Evaluation Engineer – Scenario Coverage & Datasets (Autonomous Driving)

Avride builds autonomous driving technology for vehicles and delivery robots, with a QA organization that evaluates driving performance largely through simulation. The Lead Evaluation Engineer will own end-to-end test coverage for the autonomous driving stack, including evaluation datasets, scenario coverage, data mining, simulation, field capture, and release-readiness reporting.

Senior Frontend Engineer – Engineering Productivity Systems

Avride is seeking a Senior Frontend Engineer to build internal systems that help engineering teams navigate data, investigate problems, and perform analytics. The role focuses on developing React and TypeScript applications for simulation tooling, fleet tracking, hardware and software configuration, and engineer productivity, while collaborating with simulation, analytics, and operations teams.

Lead AI Infrastructure Engineer

Avride develops self-driving technology and the infrastructure powering its autopilot stack. The Lead AI Infrastructure Engineer will lead the ML infrastructure layer, initially focusing on optimizing GPU inference for onboard and offboard applications, then taking ownership of broader ML infrastructure across pipelines while collaborating with applied machine learning teams.

Software Engineer – ML Platform

Avride's ML Platform team builds infrastructure for large-scale machine learning training and data processing for autonomous driving. The Software Engineer – ML Platform will build and operate Kubernetes-based ML compute infrastructure, orchestration services, distributed execution capabilities, and resource governance while improving reliability, performance, and developer experience.

Sensor Integration Software Engineer – Autonomous Vehicles

Avride develops autonomous driving technology through advanced sensors and system software. The company is seeking an experienced Sensor Integration Software Engineer to design, develop, debug, and maintain sensor drivers and software pipelines, while optimizing sensor data processing and supporting integration across the autonomous vehicle platform.

Senior Brand Designer

Avride develops autonomous driving technology, including robotaxis and delivery robots operating in real-world deployments. The company is seeking a Senior Brand Designer to build and evolve its visual language, develop brand materials, uphold design standards, contribute to campaigns, and coordinate external contractors and agencies.

Senior/Staff Software Engineer – Localization & Mapping

Avride develops autonomous vehicle and delivery robot technology. The Senior/Staff Software Engineer will build localization and mapping subsystems, including on-board localization algorithms and cloud mapping processes, while improving rover positioning precision and reliability. The role also supports related development and operations teams on localization issues.

Machine Learning Engineer

Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and optimizing machine learning models, managing large-scale datasets, and collaborating with cross-functional teams to integrate solutions into real-world applications.

Machine Learning Engineer – Motion Planning & Prediction

Avride is an autonomous vehicle company building software that enables vehicles to predict the behavior of surrounding road users and plan safe, comfortable trajectories. The Machine Learning Engineer will design, train, evaluate, deploy, and optimize behavioral prediction and motion planning models for real-time operation on embedded vehicle hardware, while analyzing failures and maintaining large-scale data pipelines.

Lead Software Engineer – Control

Avride is seeking a Lead Software Engineer to drive the technical evolution of its core Control System. The role focuses on architecting and shipping Model Predictive Control systems and vehicle dynamics models while providing technical direction to a small team of control engineers.