福特中国 · 福特电动车事业部

ADAS嵌入式软件验证开发工程师 ADAS Embedded Software Validation Development Engineer

薪资面议  /  上海

今天 17:00 更新

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职位属性

  • 招聘类型:社招
  • 工作性质:全职
  • 事业部:BEV电动车
  • CDSID:RZHOU26

职位描述

Responsibilities:

Build up ADAS Feature & Software Test Strategy and ADAS/AD embedded S/W validation & verification platform

• Establish local test-development capability to validate every software release from suppliers, and eproduce & verify field issues on the bench.

• Use IPG CarMaker as the core simulation engine to create vehicle dynamics, sensor, and scenario models.

• Close the loop by replaying vehicle-bus data on x86/ARM Linux with SocketCAN / PCIe CAN cards (Peak, Kvaser, Softing, etc.).

• Define key KPIs in line with ADAS feature & software targets to quantify software-integration release quality.

• Design a Python + C/C++ software stack for fault injection, data replay, and a visualization dashboard.

ADAS feature & software test automation development

• Develop automated low-level test sequences based on existing diagnostic tools.

• Collaborate with feature owners to build ACC, AEB, LKA, TJA, HWA and other ADAS scenario libraries on the self-developed HIL platform.

• Set up a Git + Jenkins/GitLab CI + Docker pipeline for nightly regression and trend analysis.

Supplier test management

• Define and cascade test requirements, driving Tier-1 suppliers to complete function, performance, and robustness tests on both HIL benches and VIL vehicles.

• Review supplier test plans, test cases, and execution logs, ensuring full defect closure.

• Evaluate and sign off supplier test data, conclusions, and fix reports; consolidate results into visual dashboards for team status updates.

 

任职条件

 

• bachelor’s degree or above in Vehicle Engineering, Electronics/Automation, Computer Science, Control Engineering or related fields.

• >3 years of assisted or autonomous-driving test development experience, including ≥2 years in HIL platform build & test development with CarMaker or comparable real-time tools.

• Solid understanding of the full ADAS workflow (requirements, algorithms, ECU software, vehicle-level validation) with hands-on exposure to ACC, AEB, LKA, etc.

• Proven skills in scenario design, KPI definition, and result analysis for simulation testing.

• Tools & platforms: IPG CarMaker, SocketCAN, Peak/Kvaser/Softing CAN drivers, Linux, OpenSCENARIO / OpenDRIVE.

• Programming: C/C++, Python, Bash, Robot Framework; proficient with Git, Jenkins/GitLab CI, Docker.

• Communication & protocols: CAN/CAN-FD, UDS, DoIP, SOME/IP, gRPC; basic knowledge of AUTOSAR Classic & Adaptive.

• Data visualization & monitoring: Prometheus/Grafana, PowerBI, ELK/EFK.

• Strong logic, coordination, and cross-team / supplier management skills.

• Excellent technical writing and verbal communication in both English and Chinese.