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Ralph Lange | Gravity Talent Portal

Ralph Lange

Ralph Lange

Backend Engineer

https://talent.gravityer.com/ralph-lange

TRUMPF Machine Tools

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Stuttgart Area, Germany

Member since June 27, 2026

https://talent.gravityer.com/ralph-lange

Top Skills

C++PythonCMakeDockerfileShellJavaScript

Skills

C++PythonCMakeDockerfileShellJavaScript

Experience

TRUMPF Machine Tools

Backend Engineer

June 27, 2026 – Present

Projects

Microcontroller_Workshop

December 22, 2024 – January 25, 2025

Microcontroller workshop on 25 January 2025 in the Christian-Wagner-Library in Rutesheim

Smart_Home_Boxle

October 6, 2024 – April 22, 2025

The Smart Home Böxle is a pretty little wooden box that combines a classic analogue ammeter with an e-Ink display to visualize home automation data

AS2FM

May 3, 2024 – Present

Toolchain components for model checking format conversions for robotic use cases

data-model

January 19, 2024 – Present

Repository for OSS release of the CONVINCE specification of the data model. Part of Deliverable 5.1.

fmilibrary_vendor-release

June 16, 2020 – Present

fmilibrary_vendor-release — GitHub repository

fmi_adapter-release

June 16, 2020 – Present

fmi_adapter-release — GitHub repository

executor_testbench

June 26, 2019 – October 14, 2020

Executor modul for rcl with customizable scheduling semantics

mc_mros_reasoner

November 15, 2018 – June 4, 2024

library for metacontrol-based self-adaptation using ontological reasoning, with wrappers for robotic systems based on ROS1 and ROS2

rclc

February 20, 2015 – Present

ROS Client Library for the C language.

diagnostics

October 30, 2012 – Present

Packages related to gathering, viewing, and analyzing diagnostics data from robots.

Key Strengths

Extensive experience with C++ and Python, crucial for backend development.
Demonstrated ability to work on complex robotic systems and embedded projects.
Proficiency in CMake for build system management.
Experience with Dockerfile and Shell scripting, indicating DevOps familiarity.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily focused on robotics and embedded systems, which may not directly align with a general 'Backend Engineer' role without further context on the target company's domain. The diversity of project types (personal only) and the lack of team-based project descriptions limit the assessment of cultural fit. The current role as 'Backend Engineer' at TRUMPF Machine Tools suggests some alignment, but details are missing.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.