DevOps / Platform Engineer

Equal1 | Quantum computing

2h 51m ago

On-site

Full Time

Romania

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.

Required Skills

linuxpythonbashdockerkubernetesgithubgitlabjenkins

Required Languages

🇬🇧 English

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.