MAHLE
Process Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Vision System Engineer
We are looking for an enthusiastic professional to design and implement more complex systems independently and troubleshoot problems. Capable to lead projects, drive technological innovation, and focus on advanced research.
Your Contribution
System Design and Implementation
- Develop and deploy automated vision systems for tasks like defect detection, object recognition, robot guidance, and dimensional measurement in high volume manufacturing and production environments.
Programming and Configuration
- Program and integrate system components such as cameras, lenses, and lighting, and configure software using tools like PyTorch or TensorFlow for Deep Learning, Optical Character Recognition (OCR/OCV), and Data Matrix Code.
Testing and Optimization
- Validate system performance to ensure accuracy and efficiency, often using data analysis to improve model performance and reduce inference time. An understanding of Measurement System Analysis (MSA) and QDAS software would be preferable.
Collaboration
- Work with cross-functional teams, including quality assurance, operations, and mechanical and electrical development, to gather requirements and integrate vision systems into broader automation platforms.
Troubleshooting and Maintenance
- Provide support and perform diagnostics on existing vision systems to ensure continuous, accurate operation.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Documentation
- Create and maintain technical documentation, including validation protocols and user manuals.
Your Qualifications & Experience
- Bachelor's or master's degree in engineering (e.g., Computer, Electrical, or Mechanical), Computer Science, or a related technical discipline.
- Proficiency in VB.NET, Python, and C#. Knowledge of C++ is preferable.
- Computer vision expertise: Strong understanding of image processing, feature extraction, and object detection techniques.
- Machine and deep learning: Experience with deep learning frameworks like Cognex DeepLearning and a solid grasp of concepts like neural networks.
- Analytical skills: Excellent problem-solving, critical thinking, and logical reasoning abilities are needed to optimize complex visual data and algorithms.
- Attention to detail: A keen eye for visual anomalies and subtle patterns is critical for ensuring system accuracy.
Location & Relocation Requirement
This position will be based in the United Kingdom for the first two years of employment. Following this initial period, the role will permanently relocate to Slovakia. As such, the successful candidate must be willing and able to relocate to Slovakia after two years.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
The company will provide support with the required immigration and work authorization processes, including:
- Sponsorship and visa support for the initial employment period in the UK (where applicable).
- Assistance in obtaining the necessary work and residence permits for relocation to Slovakia after the two-year period.
Candidates should apply only if they are comfortable with this long-term relocation requirement.
We will provide a collaborative environment working on exciting assignments, along with personal & career development opportunities. We encourage you to apply if it feels like a good fit for you or to review our other openings. After inviting you to the recruitment process, the next step will typically be a screening call followed by video or personal interview(s).
For more information about MAHLE and what a career with us looks like for you, click here. To learn more about our foundation-owned technology group, click here.
#TeamMAHLE is diverse – and we see that as a great advantage! We welcome applications with diverse experiences, backgrounds, and identities.
Do you have any questions? SANTIAGO.DORADO@MAHLE.COM
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London