Equal1 is building silicon-based quantum computers, integrating spin qubits and cryo-CMOS control electronics on standard semiconductor processes. We are looking for a DevOps / Platform Engineer to join our team in Timișoara and build infrastructure for the whole company, across all our sites, with a focus on our full-stack software framework and our measurement activities. You will work closely with our IT Manager from day one. Over time, the role will also support our SoC / hardware modeling team.

Main Duties and Responsibilities

Own CI/CD, build and release pipelines for the quantum software stack (Python, C/C++), including simulator and hardware-in-the-loop testing.

Automate the flow of data from lab instruments and measurement setups into central storage, with experiment tracking and traceability.

Design data infrastructure that scales across sites: storage, backup, retention and access policies.

Manage lab and engineering compute as code, and run observability (logging, metrics, alerting) for internal services.

Progressively support the SoC / HW modeling team with simulation compute, job scheduling, license servers and regression pipelines.

Evaluate and, if pursued, build GPU infrastructure for ML / LLM training and serving.

Work with the IT Manager on identity, networking, security and cloud accounts, so DevOps and IT form one coherent setup.

Experience and Qualifications

Required

Bachelor's or Master's degree in Computer Science, Engineering or a related field.

4+ years of experience in DevOps, platform, SRE or build/release engineering.

Strong Linux administration and scripting skills (Bash, Python).

Hands-on experience with CI/CD (GitHub Actions, GitLab CI or Jenkins), Docker and Kubernetes or similar.

Infrastructure as code (Terraform, Ansible) across on-premises and cloud (AWS, Azure or GCP).

Solid networking and security fundamentals.

Fluent English and the ability to work with physicists, hardware and software engineers.

Desired

Experience with HPC, EDA or scientific computing environments (Slurm, license servers).

Lab automation or data acquisition (QCoDeS, PyVISA) and experiment tracking (ClearML, MLflow).

Data engineering (object storage, HDF5/Parquet, PostgreSQL) or GPU / ML infrastructure.

If you want to build the platform behind a quantum computer from the ground up, we'd love to hear from you.