Senior Software Engineer (Python)

Audatic; Berlin; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

30 days paid vacation

Free daily meals, drinks & snacks

Hybrid work model (60% on-site)

Yearly team retreat

Zusammenfassung

Audatic, part of the Sonova Group, is building a deep learning powered speech enhancement platform in Berlin. You will join the development team to design, maintain, and extend systems for running DL experiments in Python, while owning infrastructure and CI/CD automation.

The role emphasizes collaboration with DL engineers and data scientists and requires strong Python skills and English proficiency. The position is on-site with a hybrid setup (at least 60% in the office); relocation or easy

Qualifikationen

• Bachelor’s or Master’s degree in a technical field is required.
• At least 5 years of relevant work experience.
• Strong proficiency in Python with clean, maintainable code.
• Experience with several technologies in our tech stack.

Aufgaben

• Design, maintain, and extend our system for running deep learning experiments (Python).
• Own the infrastructure for the experimentation framework (databases, VMs, cloud compute, scheduling).
• Identify improvements to make infrastructure robust and efficient.
• Develop tools for insights and control over ML experiments (custom control website).
• Leverage CI/CD to minimize repetitive tasks.

Kenntnisse

Python

Project leadership

English proficiency

Software design patterns

Ausbildung

Bachelor's or Master's Degree in a technical field

Tools

Docker

Kubernetes

Terraform

Packer

MongoDB

Postgres

TensorFlow

CUDA

React

FastAPI

Prometheus

Grafana

Ubuntu

Slurm

HashiCorp Vault

Jobbeschreibung

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.

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. 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.

More about the role

You will be part of Audatic’s development team. 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.
• 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.

• 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, Terraform, Packer, Kubernetes, Prometheus, Grafana, Tensorflow, CUDA, React, FastAPI.
• Our CI/CD pipelines run on GitHub Actions with self-hosted runners.

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!

• Experience designing and maintaining a deep learning infrastructure
• DevOps skills and experience working with any of the major cloud providers
• Exposure to 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. 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
• Hybrid work model (at least 60% on-site)

We are an equal opportunity employer and value diversity. 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. We can provide immigration support if needed.