Principal Application Engineer-VTD
On-siteShanghai, Shanghai, China or Beijing, Beijing, China
Job Summary
Conduct in-depth research on autonomous driving simulation software architecture, core module logic, and industry-level testing solutions. Design and implement full-scenario autonomous driving simulation testing solutions covering MIL, SIL, HIL, DIL, and cloud-based environments for diverse customer requirements. Provide full-lifecycle technical support, resolving software operation faults, environment setup issues, and test execution defects to ensure smooth project delivery. Independently configure parameters, adjust functions, and customize IG, ROD, and MM modules to meet personalized testing needs, including building camera sensor and LiDAR simulations with parameter adaptation. Diagnose and fix technical defects regarding software usage, simulation runtime, and system compatibility while managing end-to-end technical implementation. Requires 5+ years in autonomous driving simulation testing with expertise in VTD software, cloud simulation deployment, and sensor modeling. Master's degree preferred; strong communication and project management skills essential.
Required Qualifications
- Minimum 5 years of hands-on experience in autonomous driving simulation testing
- Familiar with the full workflow and specifications of automated AD testing
- Deployment, maintenance and optimization of various simulation test systems with proven project delivery track records
- Expertise in full functions of VTD software
- Proficient in setup, commissioning and delivery of all VTD-based XIL solutions
- Thorough understanding of the operating principles and collaborative logic of scenario simulation, vehicle dynamics simulation and automated testing tools
- Skilled in VTD cloud simulation solutions
- Capable of architecture design, deployment, compatibility debugging, maintenance and optimization of VTD test systems on private cloud infrastructure
- Solid practical skills on VTD to independently diagnose and fix technical defects regarding software usage, simulation runtime and system compatibility
- Deep insight into VTD underlying architecture and core modules
- Able to configure parameters, adjust functions and customize IG, ROD, MM modules
- Full proficiency in building camera sensor simulation on VTD
- Expert in LiDAR simulation modeling
- Strong client communication, requirement decomposition and project management skills
- Clear logical thinking
- Strong sense of accountability
- Capable of reading English technical literature
- Daily oral English communication
- Master's degree or higher in Mechanical Design, Vehicle Engineering or related disciplines
- Graduate from a 985/211 university
- Bachelor's degree (relaxed requirement for outstanding candidates)
Desired Qualifications
- Proven experience in project coordination and delivery with OEMs and autonomous driving solution vendors
- Familiar with mainstream industrial testing standards and client requirements
- Capabilities in AD scenario library construction
- Test script programming
- Post-test data analysis
- In-depth knowledge of automotive onboard sensor fundamentals
- Practical experience in simulating multiple camera and LiDAR variants
- Prior experience in architecture building, private-cloud deployment and daily operation of cloud-native simulation platforms
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