Level: Experienced

Job Field: IT, DevOps

Employment Type: Full Time

Contract Type: Permanent employment

Location: Berlin

Working Model: Hybrid, Onsite

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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