OPTECS BV._ Software Engineer Intern

Πληροφορίες Αγγελίας

Επωνυμία Επιχείρησης:

OPTECS BV.

Αποστολή βιογραφικών έως:

2025-01-11

Κατηγορία:

Επιστημονικό Αντικείμενο:

OPTECS is a leading company based in Rotterdam, The Netherlands, specializing in the application of Artificial Intelligence (AI) and computer science
technology in mineral processing. Our vision is to develop innovative and efficient solutions for the mining industry, optimizing the extraction, processing,
and utilization of minerals.

Our internships are designed to provide students with real-world experience and mentorship, offering them opportunities for professional development.

Internsat OPTECS will have the chance to work on live projects that directly contribute to our company’s goals, under the guidance of our experienced team members.
This program allows interns to develop critical skills, build professional networks, and prepare for their future careers.

Key Responsibilities:
 System Development:
o Develop components according to the system architecture, including base node templates such as analyzer nodes, AI processors, and controllers, etc. based on the architectural
specifications.
o Write reusable and efficient code for basic implementation of data processors, AI modules, and I/O nodes, ensuring they integrate
seamlessly with the overall control system and give the required flexibility and scalability foreseen for the system.

 AI Integration:
o Develop and implement AI-driven nodes for data processing and
optimization in the solution, considering the requirements for
using machine learning models for predictive control,
optimizations and fault detection.
o Ensure AI processing nodes are integrated into the messaging
system and optimized for real-time data processing. Lifecycle and Node Management:
o Implement lifecycle nodes for components such as I/O, optimizers, and AI processors, handling node states like
Unconfigured, Inactive, Active, and Shutdown.o Ensure nodes properly handle transitions and manage QoS
settings for data flows between nodes and external systems.
 Messaging & Networking:
o Implement publish-subscribe patterns and services/actions,
facilitating communication between nodes over an efficiently
implemented DDS. Ensure nodes can dynamically discover and
communicate with each other using an auto-discovery
mechanism.
o Implement barebone QoS settings to ensure reliable
communication and avoid network congestion.
 Data Storage & Access Control:
o Implement parameter management using database management
systems, ensuring nodes can access and modify parameters
securely through access control system.
o Write efficient code for storing and retrieving node parameters and
ensure data consistency during system lifecycle transitions.

Key Requirements:
 Experience:
o Experience in software development, particularly in distributed
systems or control systems.
o Expertise in Python and C++ for high-performance software
implementation and industrial level production.
o Experience with graph based distributed frameworks such as ROS,
including node creation, lifecycle management, and messaging
protocols.
 Technical Skills:
o Understanding of machine learning frameworks and functioning
and integrating AI models into real-time systems.
o Experience with database management systems.
o Expertise in developing high-performance, real-time data
processing components.
 Soft Skills:
o Ability to work collaboratively with software architects,
developers, and domain experts.
o Strong problem-solving and debugging skills in complex,
distributed environments.

Information:
If you believe your profile could be a good match to this Software Engineer Intern position, apply now!

Sent your CV at admin@optecs.nl
After the screening of all the CVs received, we will contact the candidates who meet the requirements of the job to arrange an interview.

All applications are considered strictly confidential.

Περισσότερες Θέσεις Εργασίας

OPTECS BV._ Software Engineer Intern

Πληροφορίες Αγγελίας

Επωνυμία Επιχείρησης:

OPTECS BV.

Αποστολή βιογραφικών έως:

2025-01-11

Κατηγορία:

Επιστημονικό Αντικείμενο:

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