At
Evlos
, we build next-generation intelligent automation and machine-vision systems for advanced manufacturing.
We are seeking a highly skilled
Automation & Vision Systems Integration Engineer
to bridge the gap between our
machine vision team
and
mechanical / controls automation
teams.
You will design, develop, and maintain the software infrastructure that connects multiple vision inspection modules, PLCs, and robots into one unified, high-performance production system.
Key Responsibilities
●
System Integration
○ Develop and maintain communication layers between vision systems, PLCs, and automation equipment using
TCP/IP, Modbus, gRPC, and custom protocols
.
○ Design and implement
sequencing logic
that synchronizes multiple camera inspections, hardware triggers, and motion control events.
○ Ensure
real-time data exchange
and deterministic performance between all system components.
●
Software Development
○ Write
robust, modular code
in
C++
and
Python
to handle vision data collection, judgment processing, and machine interfacing.
○ Develop
user interfaces
using the
Qt framework (Qt Widgets / QML / PySide/PyQt) or other UI frameworks
for operator interaction, parameter configuration, and system diagnostics.
○ Implement
data aggregation and visualization tools
for production reporting (Excel, PDF, or database-backed).
●
Production Data Management
○ Aggregate and store
measurement and judgment results
for each inspection cycle.
○ Generate detailed
QC and traceability reports
automatically from runtime data.
○ Integrate results with
MES / ERP / factory databases
when required.
●
System Commissioning & Support
○ Work closely with the
controls and mechanical teams
to deploy and fine-tune system integration at customer sites.
○ Diagnose and resolve issues involving timing synchronization, communication, and performance bottlenecks.
●
Cross-Functional Collaboration
○ Collaborate with PLC engineers and robotics programmers to ensure seamless system operation.
Qualifications
● Bachelor’s degree in
Electrical / Electronics / Mechatronics / Computer Engineering
, or related field.
● Strong programming skills in
C++
and
Python
.
● Experience with
industrial communication protocols
(TCP/IP, Modbus, gRPC, etc.).
● Understanding of
machine vision systems
, cameras, triggers, and synchronization concepts.
● Hands-on experience developing
user interfaces
and real-time data handling pipelines.
● Good understanding of
multi-threaded and asynchronous programming
.
● Excellent problem-solving and system-level debugging skills.
Preferred / Plus Points
● Experience with
robotics integration
(Fanuc, UR, ABB, etc.).
● Knowledge of
industrial networking
, Ethernet/IP, or CAN-based protocols.
● Familiarity with
PLC systems
(Mitsubishi, Siemens, Omron, etc.) and their data exchange mechanisms.
● Experience with
database systems (SQLite, PostgreSQL, or MySQL)
for storing and querying inspection data.
● Familiarity with
Docker, Git
, and modern CI/CD pipelines.
● Exposure to
Linux-based systems
, including real-time or PREEMPT_RT environments.
KPIs / Success Metrics
● Seamless synchronization of multiple cameras and PLCs with high latency.
● Stable and maintainable code architecture for multi-line integration.
● Accurate and automated QC report generation for all inspection results.
● Zero critical integration downtime during production deployment.
● High internal satisfaction score from vision and automation teams.
