Functional Performance Test Engineer – KPI Developer

At Magna, our groups work together to deliver advancements in mobility to build a better world for everyone and everything. Magna’s ADAS technologies are shaping an autonomous future and improving lives.

Full autonomy is coming. But to create the technology which will bring it into view, you need the desire and ability to adapt complete ADAS systems or modular solutions to any vehicle, for any mobility need.

Magna’s electronics solutions connect OEMs to their customers with features that improve their lives. It’s our expertise across the entire vehicle, key strategic partnerships and culture of innovation that allow us to make our industry-leading technologies road-ready. And it is how we’ll continue to build a safer, smarter and more connected mobility experience for all people.

What you can expect 

• Understand functional scope of product(s), project(s) and function(s)
• Analysis and review of functional performance requirements, negotiate/propose changes if necessary, confirm testability of the requirements
• Implement scripts based on pseudo code written by lead test developer
• Support definition of ground truth requirements
• Perform code review with lead developers
• Implement test report content based of specification of function developer and lead test developers
• Implementation of test in python and pyspark based exist big data analysis tools
• Test execution and report generation
• Test Report discussion with lead test developer function developers.
• Support function developer in primary to root cause analysis of function(s) inadequate performance

What you’ll bring 

• > 2-3 years of Working knowledge in ADAS series project(s)
• Professional working experience (>3 years of experience) as functional test design engineering in ADAS (functional test design of object detection, Point cloud Plus, Free Space Detection, AEB, ACC, LDW, TSR, lane/road description etc.)
• ADAS functions’ (AEB, OD, ACC, LDW, TSR etc.) understanding is desired
• Working knowledge of AWS (amazon web service)
• ISO 26262 working knowledge
• Professional experience in Big data analysis / data science
• Algorithm development experience in ADAS / autonomous driving is a big plus
• ISTQB CTFL certificate
• Working knowledge of product development and product testing engineering practices in automotive field
• Understanding of reprocessing concepts, ADAS safety concepts and relation with functional performance requirements is a big plus
• Bachelor’s / diploma degree in computer science, physics, mechatronics, automotive, statistics, mathematics or equivalent
• Professional experience in Python, Scala, Pyspark, C++ (object Oriented Programming)
• Advance skills in bigdata analysis libraries, tools and methods
• Working knowledge of UML, VISIO, MS Office package
• Knowledge of Automotive Ethernet, CAN and LIN based tools such as CANalyzer, CANoe, CANape, neoVI and other automotive networks and related tools as plus
• Proficiency in English is must (speaking & writing)
• German language is a plus
• Working knowledge in planned and structured approach
• Able to work in a dynamic, fast paced team environment
• Able to work independently with supervision
• Able to work effectively in a global environment

What we offer 

• Flexible working hours and remote work
• Health programs, sports and team events
• An extensive training program and exciting internal development opportunities
• Meal allowance

Additional Information

Awareness. Unity. Empowerment.

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.