招聘
福利待遇
•Learning
•Parental Leave
•Equity
必备技能
React
Python
PostgreSQL
As (Expert) Resident Engineer, you’ll act as the key technical interface between the customer and Aptiv, taking ownership of troubleshooting and driving resolution of complex system issues on-site. Working on ADAS Gen 6 projects, you’ll support a wide range of components—from radar and ultrasonic sensors to driver/passenger monitoring and central compute units—across L0 to L2+ autonomous driving. You’ll be hands-on with hardware and software, gathering requirements, analyzing issues, and ensuring timely delivery of features like cruise control, AEB, road sign recognition, and more.
The ideal candidate will have experience working within the Automotive or ADAS industry.
Apply today and together, lets change tomorrow!Your role:
- Escalation of Technical Issues and Conflicting Activities to team leadership
- Ownership of customer problems, troubleshooting and driving corrective action.
- Responsible for coordination and delivery of the product solution hand-over to customer at milestones.
- Act as an interface between customer and APTIV
- Develop and debug test system configuration
- Identify component integration issues, and drive them to resolution by working with cross functional teams
- Support vehicle instrumentation to setup to record CAN data, post-process and analyze to resolve bugs and make performance improvements
- Perform evaluation road drives from system integration perspective.
- Verify system functionality and report defects on tested functions.
- Work on “Problem Ticket Analysis” and identifying the problem root cause.
- Gather any additional necessary customer information, e.g. milestone plans, contact persons, prototype needs, etc. and provide this to the product development team
- Facilitate access to customer specific tools and information systems for APTIV team members
- Support the team to provide data to customer specific information systems
- Support resolution of open issues and product testing at customer site
- Cooperate with the different R&D functions (SW, HW, Component Design and Application)
Your background:
-
Degree in Computer Science, Electronics, Physics or equivalent discipline
-
1+ year experience working in an Automotive Engineering or ADAS environment
-
1+ Years’ Experience in Software Development/Support of Electronic Control (Systems Engineering, Hard- & Software Engineering, Embedded Software Development)
-
Excellent communication skills
-
Knowledge about Product Development Processes or Software Development Processes (e.g.
-
Spice), ideally founded experience in ISO26262 process or similar
-
Experience Embedded System Testing and debugging / root cause analysis Familiar with CAN Tools or similar debugging and configuration tools.
-
ADAS/AD system bring up on both bench level and vehicle level, alternatively experience within embedded system bring-up – not essential.
-
Privacy Notice
-
Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates
Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.
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关于Aptiv

Aptiv
PublicA global technology company that develops safer, greener, and more connected solutions, which enable the future of mobility.
10,001+
员工数
Dublin
总部位置
$10.2B
企业估值
评价
3.8
10条评价
工作生活平衡
2.8
薪酬
3.2
企业文化
3.6
职业发展
3.1
管理层
3.4
68%
推荐给朋友
优点
Supportive management and leadership
Good benefits and vacation time
Professional development opportunities
缺点
Heavy workload and overtime expectations
Fast-paced and stressful environment
Limited growth opportunities
薪资范围
56个数据点
L2
L3
L4
L5
L6
L2 · Product Designer L2
0份报告
$101,254
年薪总额
基本工资
$40,502
股票
$50,627
奖金
$10,125
$70,878
$131,630
面试经验
4次面试
难度
3.8
/ 5
时长
14-28周
体验
正面 0%
中性 0%
负面 100%
面试流程
1
Application Review
2
Resume Review
3
Recruiter Screen
4
Phone Interview
5
Final Interview
6
Offer Decision
常见问题
Behavioral/STAR
Past Experience
Culture Fit
Industry Knowledge
Leadership Scenarios
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