Senior Software Engineer (Python)

Das ist der Job

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Das brauchst du

Für die folgende Stelle sind möglicherweise eine Reihe von Soft Skills und Erfahrungen erforderlich.

Darum lohnt es sich

As a part of the Sonova Group, our team developed the speech enhancement neural network for the Phonak Infinio Sphere - the world’s first hearing aid to run a deep neural network (DNN) for real-time speech enhancement on a custom-built, low-power, embedded neural accelerator.

Since then, numerous clinical studies and extensive market feedback have confirmed the significant, life-changing benefits of this breakthrough technology. Audatic is a small, supportive team that values collaboration and openness. More about the role You will be part of Audatic’s development team.

Leveraging our CI/CD system or other forms of automation to minimize repetitive tasks for the team.

Experience designing and maintaining a deep learning infrastructure DevOps experience and experience working with any of the major cloud providers Familiarity with Python scientific computing packages (e.g., NumPy, SciPy, scikit-learn, TensorFlow) More about what we offer At Audatic, you’ll be part of a diverse, international, and passionate team that values collaboration and innovation.

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 Hybrid work model (at least 60% on-site) We are an equal opportunity employer and value diversity.

At Audatic, we build systems to render speech from any sound scenario clear and free of noise using state-of-the-art deep learning technology. Our mission is to empower millions of people with hearing loss to enjoy interactions in demanding social settings like bars or restaurants.

We pair startup agility with Sonova’s scale, audiological expertise, and world-class resources. Everyone here has the chance to shape how we work, contribute their ideas and have a direct impact on the products we deliver - creating technology that can transform lives.

Please note that the role outlined below is an on-site opportunity with a hybrid setup requiring at least 60% office attendance. Fully remote work is not possible. You should ideally be located in Berlin or close enough for an easy commute, or be open to relocating.

As such, potential responsibilities could include: Working very closely with our deep learning engineers and data scientists to design, maintain, and extend our system for running deep learning experiments. This includes packages, tools and services written in Python. Owning the infrastructure that the experimentation framework is running on.

This means dealing with databases, virtual machines, cloud compute resources and scheduling systems. Proactively identifying improvements to make our infrastructure more robust, efficient and user-friendly. Developing tools to provide better insights and control over machine learning & deep learning experiments.

This includes our custom-built experiment control and visualization website. 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. 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 You are a good match for this position if the points below apply to you.

Bachelor’s or Master’s Degree in a technical field At least 5 years of relevant work experience Strong proficiency in Python with a demonstrated ability to write robust, clean and maintainable code Experience with some technologies in our tech stack Knowledge of common software design and architecture patterns, with experience applying them to large codebases Ability to lead a project from beginning to finish Dependable communication skills with full professional proficiency in English Willingness and ability to learn and adapt to new tools and environments Nice to have The qualifications below are nice to have.

Please apply even if you do not fulfill these points! We provide an environment that allows you to balance professional growth with personal well-being.

Committed to inclusive growth, we consider all applications equally, regardless of race, ethnicity, religion, citizenship, national origin, sex, gender identity, sexual orientation, age, marital status, or disability.

We strongly encourage individuals from groups traditionally underrepresented in tech to apply. xayajpt We can provide immigration support if needed.