Software Engineer

More About The Role
You will be part of Audatic's development team. As such, you'll be encouraged to take ownership and responsibility for part of our DNN training infrastructure. Below is a list of the dev team's responsibilities. Together, we'll choose a few for you to focus on and these can evolve over time.

• Working very closely with our deep learning engineers and data scientists to design, maintain, and extend our system for training neural networks. This includes packages, tools and services written in Python, databases, virtual machines, cloud compute resources and scheduling systems.
• Collaborating with embedded software engineers on graph-manipulation tools to analyze and optimize our trained neural networks.
• Proactively identifying improvements to make our infrastructure more robust, efficient and user-friendly. Part of this is working on the neural network training process to make it fast and hardware accurate.
• Developing tools to provide better insights and control over machine learning & deep learning experiments. This includes our custom-built experiment control and visualization website.
• Leveraging our CI/CD system or other forms of automation to minimize repetitive tasks for the team.

You will be taking full ownership over parts of our codebase and infrastructure. At Audatic, you are encouraged to innovate and propose new ideas for continuous improvements.

Tech Stack

• Our main programming language is Python.
• Our tech stack is built around many popular (open source) tools, including but not limited to: Ubuntu, Docker and other container runtimes, Slurm, HashiCorp Vault, MongoDB, Postgres, Ansible, Prometheus, Grafana, Tensorflow, CUDA, React, FastAPI.
• Our CI/CD pipelines run on GitHub Actions with self-hosted runners.
• We're in the process of migrating our infrastructure from an on-premise cluster to Azure, so new tools will be added to our tech stack soon.

More About You

• Bachelor's or Master's Degree in a technical field
• At least 2 years of relevant work experience
• Proficiency in Python with a demonstrated ability to write robust, clean and maintainable code
• Dependable communication skills with full professional proficiency in English
• Willingness to learn new things and adaptability

Nice To Have
The qualifications below are nice to have. Please apply even if you do not fulfill all of these points

• Experience designing and maintaining a deep learning infrastructure
• DevOps experience or experience working with any of the major cloud providers
• Familiarity with Python scientific computing packages (e.g., NumPy, SciPy, scikit-learn, TensorFlow)
• Experience with some technologies in our tech stack

More About What We Offer
At
Audatic
, you'll be part of a diverse, international, and passionate team that values collaboration and innovation. We provide an environment that allows you to balance professional growth with personal well-being.

• Competitive compensation package
• 30 days of paid vacation
• Free daily meals, drinks, and snacks at our green and modern office in the heart of Berlin
• Regular team events and a yearly retreat
• Company-sponsored public transport ticket (Deutschlandticket)
• Hybrid work model (at least 60% on-site)

Sonova is an equal opportunity employer.
We team up. We grow talent. We collaborate with people of diverse backgrounds to win with the best team in the market place. We guarantee every person equal treatment in regard to employment and opportunity for employment, regardless of a candidate's ethnic or national origin, religion, sexual orientation or marital status, gender, genetic identity, age, disability or any other legally protected status.