Level
Experienced
Location
Berlin
Working Model
Hybrid, Onsite
Job Field
IT, DevOps
Employment Type
Full Time
Contract Type
Permanent employment

Job Summary

In this role, you will build computing infrastructures for acoustic simulations, develop CI/CD pipelines, automate hardware tests, and efficiently manage and provide access to massive data sets.

Job Technologies

Your role in the team

Infrastructure for simulation: setting up and maintaining on-premise or hybrid cloud computing clusters for acoustic simulations. Implementation of job schedulers to distribute computing resources fairly and efficiently among teams.
CI/CD Pipeline Development: Design and maintenance of continuous integration pipelines (e.g., GitLab CI). Automation of build processes for embedded Linux, FPGA bitstreams, and Windows GUIs.
Test Infrastructure (HiL): Integration of physical test benches (water tanks, modems) into the CI pipeline. Development of mechanisms to automatically flash firmware onto hardware and report test results back.
Data Management (DataOps): Management of massive acoustic measurement data. Implementation of version control systems for data and ensuring performant access for AI model training.

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Our expectations of you

Education

Completed degree (Bachelor/Master) in Computer Science, Technical Computer Science, Physics, or a comparable qualification with a strong focus on IT infrastructure

Qualifications

Hardware affinity: Basic understanding of embedded hardware (UART, JTAG, SSH) for conducting automated tests on real devices
German and English in word and writing

Experience

At least 3-5 years of professional experience as a DevOps Engineer, System Administrator in a research environment, or Build Engineer
DevOps-Core: Excellent knowledge of Linux administration, shell scripting, and Python. Proficient in container technologies (Docker, Podman) and orchestration (Kubernetes, Docker Swarm). CI/CD tools: Solid experience with GitLab CI or GitHub Actions.
HPC & Simulation: Understanding of high-performance computing workflows. Experience with GPU computing (CUDA) and managing simulation software (MATLAB Server, COMSOL Server) is a big plus.

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