Lead Application Engineer - VTD
Cadence Design Systems1 day ago
Beijing, ChinaStaff+
Responsibilities
- Research autonomous driving simulation trends, technical approaches, VTD architecture, operating mechanisms, and core modules.
- Design and implement customized full-scenario autonomous driving simulation testing solutions across MIL, SIL, HIL, DIL, and cloud-based simulation environments.
- Provide full-lifecycle technical support for VTD simulation testing, including software operation, environment setup, test execution, and issue resolution.
- Deploy, maintain, optimize, and troubleshoot VTD test systems on private cloud infrastructure.
- Configure and customize VTD IG, ROD, and MM modules for customer testing requirements.
- Build and optimize camera sensor simulations and revise, calibrate, and optimize LiDAR simulation models.
- Coordinate projects, decompose customer requirements, communicate with clients, and complete end-to-end technical implementations.
- Support scenario library construction, test script programming, and post-test data analysis.
Requirements
- At least 5 years of hands-on experience in autonomous driving simulation testing.
- Expertise in VTD software and full proficiency in setup, commissioning, and delivery of VTD-based XIL solutions.
- Experience with deployment, maintenance, optimization, architecture design, and compatibility debugging for simulation test systems, including private-cloud environments.
- Strong ability to diagnose and resolve VTD software, simulation runtime, and system compatibility defects.
- Deep understanding of scenario simulation, vehicle dynamics simulation, automated testing tools, VTD architecture, and core modules.
- Practical expertise in camera and LiDAR sensor simulation, including parameter adaptation, modeling, calibration, and performance optimization.
- Strong client communication, requirements analysis, project management, logical thinking, and independent delivery skills.
- Ability to read English technical literature and communicate orally in English.
- Master's degree or higher in Mechanical Design, Vehicle Engineering, or a related discipline; bachelor's degree may be accepted for particularly outstanding candidates.
- Preferred: experience coordinating and delivering projects with OEMs and autonomous driving solution vendors, knowledge of industrial testing standards, and experience with multiple camera and LiDAR variants and cloud-native simulation platforms.
Categories
Solutions Engineering
About Cadence Design Systems
Cadence Design Systems builds electronic design automation (EDA) software, emulation/acceleration hardware, and reusable IP that help semiconductor and systems companies design, verify, and implement chips and electronic systems. It also develops computational engineering tools, including computational fluid dynamics and molecular modeling for drug discovery. Founded in 1988 and headquartered in San Jose, California, Cadence is a public company listed on NASDAQ under the ticker CDNS.