Autonomy System Engineer (Autonomous Vehicles)

TL;DR

Autonomy System Engineer (Autonomous Vehicles): Integrating perception/positioning/planning/control modules into runnable versions with an accent on release conditions, risk points, and deployment processes. Focus on organizing internal verifications and mine site trials, standardizing vehicle-side deployment/rollback, building CI/CD pipelines, and localizing issues on DCU.

Shanghai / Wuxi, Jiangsu, China

Company

Global leader in construction and mining equipment, building autonomous systems for stronger, sustainable communities.

What you will do

• Drive version integration and release: integrate modules, define release conditions, risks, and conclusions.
• Organize internal integration verification and mine site trials: create plans, close issues, produce reports for release decisions.
• Standardize vehicle-side deployment, upgrade, and rollback processes for stable DCU delivery and quick recovery.
• Build and maintain CI/CD pipelines (e.g., GitLab CI/Jenkins) for repeatable builds, traceability, and fast issue resolution.
• Localize vehicle-side issues via DCU logs, versions, and config analysis, driving R&D closure.

Requirements

• Bachelor's or higher in computer science, communications, automation, vehicles, or related fields.
• Proficient in Linux environment with strong engineering debugging skills for quick issue localization and closure based on logs and symptoms.
• Experience in system integration/delivery: organizing verifications, trials, release conclusions, and documentation (reports, checklists, known issues).
• Hands-on CI/CD experience: building and maintaining automated build/test/release pipelines.
• Strong documentation and communication skills for clear expression of version status, risks, conditions, and cross-team collaboration.

Nice to have

• Experience with artifact repositories/dependency management (e.g., Artifactory) or large-scale R&D toolchain maintenance.
• Embedded/vehicle-side cross-compilation and release experience handling complex dependencies, long builds, platform differences.
• Mine site/vehicle deployment, trials, fault localization, and issue closure experience.
• Knowledge of container/systemd deployment (Docker/OCI, systemd) integrated into standardized delivery.