Industrial Edge AI Controls Engineer

Vertiv Co

Tognana

In loco

EUR 44.000 - 54.000

Tempo pieno

14 giorni+
Generatore di candidature

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Descrizione del lavoro

Vertiv Co. seeks a Controls Software Engineer to design and implement software for Linux-based edge platforms and industrial control systems in Piove di Sacco, Italy.

You’ll work on AI-assisted workflows, diagnostics, and data-driven engineering tools, collaborating with firmware, hardware, cloud, and QA teams. Responsibilities include modular software development, device communication, and deployment tooling, plus building AI-enabled retrieval and automation capabilities in a rigorous,

Competenze

  • Degree in a STEM field such as Computer Science, Electronic Engineering, Automation, Physics, or equivalent practical experience.
  • Strong software engineering skills in Python.
  • Good working knowledge of C/C++ in systems, embedded, or performance-sensitive environments.
  • Solid understanding of Linux systems, command-line tooling, process management, networking basics, and Bash scripting.
  • Experience building modular software components, services, or tooling with attention to maintainability and technical quality.
  • Experience with one or more communication technologies such as Modbus, MQTT, CANbus/CANopen, serial protocols, TCP/IP-based device integration, or similar.
  • Experience with Docker, containerized development environments, or service-based deployment workflows.
  • Familiarity with CI/CD practices and version control workflows.
  • Fluent English, written and spoken

Mansioni

  • Design and implement software components and services in Python and C/C++ for Linux-based edge and control platforms.
  • Develop modular software for distributed embedded and edge systems, including data acquisition, diagnostics, orchestration, and device interaction.
  • Build and maintain communication and integration layers using protocols such as Modbus RTU/TCP, MQTT, CANbus/CANopen, and similar industrial or field protocols.
  • Create internal tooling and engineering utilities for configuration, deployment, troubleshooting, validation, and system analysis.
  • Design and implement AI-assisted and agent-based workflows to improve engineering productivity, diagnostics, knowledge retrieval, and service operations.
  • Develop software systems that combine LLMs, external tools, APIs, structured data, technical documentation, and workflow logic in a controlled and reliable way.
  • Translate technical knowledge, interface specifications, and system documentation into machine-usable workflows, structured context, and retrieval pipelines.
  • Evaluate AI-enabled workflows for correctness, maintainability, observability, safety, and practical engineering usefulness.
  • Contribute to software architecture decisions, including modularity, interface design, service boundaries, and long-term maintainability.
  • Write and maintain automation, integration, and deployment tools using Python, Bash, containers, and CI/CD pipelines.
  • Debug, profile, test, and optimize system behavior across edge software, communications, and supporting services.
  • Produce and maintain high-quality technical documentation, including module descriptions, interface contracts, workflow definitions, and integration guidance.
  • Collaborate closely with firmware, hardware, cloud, QA, technical service, and product stakeholders to identify high-value software and AI automation use cases.

Conoscenze

Python
C/C++
Linux
Bash scripting
CI/CD
English (Fluent)

Formazione

Bachelor's degree in a STEM field

Strumenti

Docker
Modbus
MQTT
CANbus/CANopen
REST APIs

Descrizione del lavoro

Vertiv Co. seeks a Controls Software Engineer to design and implement software for Linux-based edge platforms and industrial control systems in Piove di Sacco, Italy.

You’ll work on AI-assisted workflows, diagnostics, and data-driven engineering tools, collaborating with firmware, hardware, cloud, and QA teams. Responsibilities include modular software development, device communication, and deployment tooling, plus building AI-enabled retrieval and automation capabilities in a rigorous,

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