- NxDI & Pre-study
- Technical Delivery of NxDI Projects: Own end-to-end software development for NxDI initiatives, from requirement translation to commercialization, including developing core features and validating feasibility with hardware prototypes
- Conduct pre-study on emerging technologies (e.g., edge AI) to inform R&D roadmaps—delivering actionable insights via technical reports or POCs.
- Cross-Functional Alignment: Partner with product managers to break down market needs into sprint-ready user stories, ensuring alignment with SAFe PI Planning goals.
- MOL: Product Lifecycle Maintenance & Continuous Improvement
- Post-Launch Software Stewardship: Own ongoing maintenance for deployed PI products, ensuring reliability and relevance: Resolve field issues through root-cause analysis and targeted patches, minimizing customer downtime; Iterate on legacy codebases to improve scalability, security, and compliance with evolving standards.
- Customer Feedback Integration: Collaborate with support teams to prioritize MOL tasks that enhance user experience and reduce total cost of ownership.
- AI/ML Integration for Performance Edge & System Integration
- Industrial AI Application: Leverage Python, PyTorch/TensorFlow, and OpenCV to enhance core PI functionalities; Pre-Study Prototyping: Build lightweight POCs for edge AI to de-risk NxDI investments.
- Seamless Hardware-Software Collaboration: Develop software components tightly integrated with hardware: Optimize real-time algorithms, high-reliability operation; Define and adhere to interface protocols between software and hardware subsystems to eliminate bottlenecks.
- Problem Solving: Troubleshoot cross-domain issues using debugging tools.
- SAFe Agile Participation & Personal Workflow
- SAFe Practice Adoption: Actively engage in SAFe ceremonies (PI Planning, Sprint Reviews, Retros) to align with team goals and track progress.
- Iterative Delivery: Break down large tasks into sprint-sized user stories, prioritize based on business value, and ensure on-time delivery of incremental features.
- Continuous Improvement: Reflect on personal workflow during Retros - identifying opportunities to enhance code quality, collaboration, or SAFe adherence.
- Educational Background
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechatronics, or a related field (Master’s preferred).
- Professional Skills
- 3+ years of hands-on software development for industrial inspection devices (X-ray, checkweighers, metal detectors strongly desired).
- Proficiency in C/C++ (real-time, performance-critical modules) or Python (AI/ML prototyping, scripting).
- Proficiency in version control (Git), CI/CD pipelines (Jenkins/GitLab CI), and debugging tools.
- Familiarity with hardware interfaces (SPI, I2C, Ethernet/IP) and integrating sensors/PLCs with software.
- AI/ML & Tools:Hands-on experience with AI/ML frameworks and computer vision libraries (OpenCV) for industrial applications
- Ability to apply SAFe principles (e.g., systems thinking, flow management) to personal workflow for efficient delivery.
- Competitive compensation & benefit package
- Possibility to work in an international environment with multicultural team
- Interesting and challenging career in a successful leading global organization
- Trainings and professional development
For those who prioritize precision, Mettler Toledo is precisely where you belong.
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