Software Engineer (m/f/d) – Audatic

Sonova Group; Berlin; Hybrid; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Competitive compensation package

30 days paid vacation

Free daily meals, drinks, and snacks

Regular team events and yearly retreat

Hybrid work model (60% on-site)

Job summary

Audatic, part of the Sonova Group, seeks a Software Engineer in Berlin to join a small, international team building a real-time speech enhancement system. You will work closely with DL engineers and data scientists, own parts of the codebase and infrastructure, and help automate experiments and deployments.

The role requires strong Python skills, experience with our open source stack, and good English communication.

Qualifications

• Bachelor’s or Master’s Degree in a technical field is required.
• At least 2 years of relevant work experience in software/ML environments.
• Strong proficiency in Python with ability to write robust, clean code.
• Experience with technologies in the stated stack is desirable.
• Excellent English communication and collaboration skills.

Responsibilities

• Collaborate with DL engineers to design and maintain our experimentation system in Python.
• Own infrastructure for the experimentation framework, including databases, VMs, and cloud resources.
• Identify and implement improvements for robustness and usability of our infra.
• Develop tools for insights and control over ML experiments and the visualization UI.
• Automate repetitive tasks using our CI/CD pipelines and automation tools.

Skills

Python

English

Design patterns

Communication

Learning agility

Education

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

Tools

Docker

Kubernetes

GitHub Actions

MongoDB

Postgres

Terraform

Prometheus

Grafana

TensorFlow

CUDA

React

FastAPI

Job description

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.

As a small, supportive team within a global leader, 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.

Berlin, Germany

Software Engineer (m/f/d) - Audatic

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 2 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
• 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.

• 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)
• Experience working with and collaborating on large codebases

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)

Audatic 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.