Description
We are looking for you as a
Telematics Application Engineer (gn) to provide dedicated technical support to our customers, with a primary focus on Italy and potential involvement in other international markets.
In this role, you will act as the central interface between our customers and our development team, assisting with the integration and optimization of our innovative telematics solutions. The full-time position is
100% remote within Europe, preferably based in
Italy or Germany to ensure close collaboration with our international team and our Italian customers. The
start date is as soon as possible.
In return, we offer you
- The opportunity to take on responsibility in a dynamically growing company and actively shape the development of the group
- Structured onboarding, targeted training, and individual development opportunities
- A high degree of creative freedom and decision-making latitude with plenty of room for innovative approaches
- Flat hierarchies, short communication channels, and exciting work in an international environment
- Flexible working hours and a good work-life balance
- A healthy company with a clear growth strategy
- Creative freedom in a value-oriented, medium-sized environment
- A hybrid working model with a modern workplace if you are living in Fulda
- At our company, work-life balance is a key priority: we offer monthly team lunches, award-winning health programs and childcare, as well as annual events ranging from summer gatherings to Christmas celebrations
Your Role
- Mainly for our customers in the Italian market:
- You develop application logic for our telematics gateways using Proemion custom tooling and structured text in CODESYS.
- You design and maintain unit tests and hardware-in-the-loop tests to ensure functionality and high product quality.
- You support our customers in developing, implementing, and optimizing the above-mentioned applications.
- You assist customers with the physical integration of our hardware into their series production environments.
- You gather and analyze customer requirements and translate them into clear, actionable input for decision-makers and developers.
- You collaborate closely with our development, support, and sales teams to ensure efficient, customer-oriented solutions.
- You document technical solutions and share your knowledge to support continuous improvement
Your Skills
Must haves:
- Experience with mobile machine, automotive, or industrial communication network technologies and protocols (CAN Bus, CANopen, J1939, UDS, OPC UA)
- Git version control
- Managing projects to ensure sustained growth and continuous improvement
- Knowledge of the fundamentals of information technology
- Programming experience in IoT or embedded applications (e.g. RTOS, task scheduling, linux, microcontrollers)
- Experience in at least one of the following industries: mobile machinery or automotive or industrial automation or aerospace
- Requirements engineering
- Strong communication skills in Italian and English, German is nice to have
Nice to haves:
- Structured text/CODESYS
- Mobile working machines industry experience
- Collaboration with customers
- Hardware in the loop and software testing
- SCRUM
- Information security
- Flashing and bootloaders
- Scripting in python or similarly high-level programming language
- Networking basics (TCP/IP, DHCP, routing, DNS)
About Proemion
Proemion is a fast-growing company group in the field of industrial analytics software. Since the investment of the private equity company Battery Ventures in 2022, we have been pursuing a buy-and-build strategy to expand our service portfolio through organic growth and targeted acquisitions.
Our business unit Proemion Telematics is a leading industrial tech company headquartered in Fulda. We also have branches in the USA and South Korea as well as numerous colleagues working remotely around the world.
The TrendMiner business unit, based in Hasselt, Belgium, specializes in industrial analytics. We develop advanced software solutions for the manufacturing industry with a focus on time series, event and plant data as well as machine learning.
