Job Responsibilities:
JOB SUMMARY
The Vision Algorithms Engineer is responsible for development of state-of-the-art camera based real time image processing and computer vision algorithms for Drive Assistance Systems from concept phase to production
JOB FUNCTIONS (ESSENTIAL)
Development (design, implement, test and debug) of algorithms for core and/or application specific software requirements for automotive embedded electronic module serial production projects
Develop software in compliance with a formal ASPICE/CMMi based Global Product Engineering Process (GPEP).
Verify algorithms at component and bench level
Support rest of the functional disciplines with all aspects related to algorithms
Perform detailed work assignments provided by the mentor or team member, by applying established and well defined software engineering techniques.
Work assignments primarily involve intermediate work.
Performs other duties as necessary in support of business objectives. Ensures that facilities are in full compliance with all safety regulations.
Maintains regular attendance.
Follows safe work procedures; Uses appropriate personal protective equipment (PPE); Uses workplace tools and equipment as instructed; Reports workplace hazards, injuries and illness as soon as possible following event.
Complies with the requirements of Quality Operating System (QOS)
Mandatory and Desirable technical skills are listed in Technical section below.
JOB REQUIREMENTS
Education/Experience
Bachelor’s degree in Computer Engineering / Software Engineering / Electronics / Computer Science or equivalent (Master’s preferred)
4-12 years’ relevant experience regarding the Responsibility / Activities (listed above) in serial development. Automotive electronic (mandatory).
KNOWLEDGE AND SKILLS
Magna Policies and Processes -
Core Values
Magna Charter & Constitution
Code of Conduct and Ethics (including related Guidelines)
Quality Policy & Objectives
Environmental Policy Statement Health & Safety Orientation (including Safety Policy)
New Hire or New Position Orientation
Customer -
Key Customer Specific Requirements (CSR) – as applicable
Review CSR via SharePoint
Technical -
Must Have
Knowledge of product development engineering practices in automotive field
Strong working knowledge of conventional image processing and imaging Algorithms
Strong experience of C++ programming language
Working knowledge in development of portable, reusable and modular software in automotive environment.
Experience in using a disciplined software development process based on ASPICE or CMMi process model
Knowledge of structured problem solving (8D) methods and/or techniques
Strong Troubleshooting and debugging skills
Desirable
Knowledge of Signal Processing
Knowledge of object detection using Yolo/SSD or semantic segmentation using Mask-RCNN/ResNet
SLAM – Simultaneous Localisation and Mapping
DL (Deep learning) based algorithm development in Imaging domain
Knowledge of structured problem solving (8D) methods and/or techniques
Knowledge of Model based Design and Development
Working knowledge of Mathworks based tools (Matlab, Simulink)
Working knowledge of optimisation and porting algorithms to embedded platform based on 32 and 64 bit microcontrollers
Computer -
Knowledge of MS Office package (especially Excel)
Knowledge of analysis and engineering tools such as version control/configuration management, UML tools, static code check tools
Working knowledge of configuration management (preferably PTC/MKS), project monitoring and control techniques
Worker Type:
Group:
Skills Required
- Bachelor's degree in Computer Engineering, Software Engineering, Electronics, Computer Science or equivalent (Master's preferred)
- 4-12 years relevant experience in serial development; automotive electronics mandatory
- Knowledge of product development engineering practices in automotive field
- Strong working knowledge of conventional image processing and imaging algorithms
- Strong experience in C++ programming language
- Working knowledge in development of portable, reusable and modular software in automotive environment
- Experience using a disciplined software development process based on ASPICE or CMMI
- Knowledge of structured problem solving (8D) methods and/or techniques
- Strong troubleshooting and debugging skills
- Knowledge of MS Office package (especially Excel)
- Knowledge of version control/configuration management, UML tools, static code check tools
- Working knowledge of configuration management (preferably PTC/MKS)
- Master's degree (preferred)
- Knowledge of Signal Processing
- Experience with object detection (YOLO/SSD) and semantic segmentation (Mask R-CNN/ResNet)
- SLAM (Simultaneous Localisation and Mapping) experience
- Deep learning based algorithm development in imaging domain
- Model Based Design and Development knowledge
- Working knowledge of MathWorks tools (MATLAB, Simulink)
- Experience optimizing and porting algorithms to embedded 32-bit and 64-bit platforms
What We Do
We are a mobility company that innovates like a start-up and thinks like a technology company. This helps us anticipate change in one of the most complex industries in the world and respond quickly. We depend on a team of 171,000 dynamic, entrepreneurial-minded employees in an environment where great ideas flourish. Our presence spans 343 manufacturing operations and 88 product development, engineering and sales centers in 29 countries. We understand that you need a career as unique as you are. Whether you want to advance your existing expertise or try something completely different, we are committed to your growth.
Why Work With Us
At Magna, our engineering team is advancing mobility for everyone and everything. Joining this team means being a part of the design, development, and manufacturing of the world’s most advanced mobility technology. Innovations that move families, shape communities, and improve lives. You can follow your passions and shape your own career path.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.











