Senior Software Engineer (m/f/d) - Audatic

Sonova Group; Berlin; Hybrid; EUR 60.000 - 78.000; Vollzeit

Zusammenfassung

A technology leader in hearing solutions in Berlin is looking for a Senior Software Engineer to join the Audatic team. You will take ownership of the DNN training infrastructure, collaborate closely with engineers, and enhance system performance. The ideal candidate has strong Python skills and at least 5 years of relevant experience. Benefits include competitive compensation, hybrid work model, and extensive paid vacation.

Leistungen

Competitive compensation package

30 days of paid vacation

Free daily meals, drinks, and snacks

Regular team events

Qualifikationen

• At least 5 years of relevant work experience.
• Strong proficiency in Python with the ability to write robust, clean code.
• Experience with technologies in our tech stack.

Aufgaben

• Design and maintain DNN training infrastructure.
• Collaborate with engineers on graph-manipulation tools.
• Identify improvements for infrastructure efficiency.

Kenntnisse

Proficiency in Python

Communication skills

Problem-solving

Adaptability

Ausbildung

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

Tools

Ubuntu

Docker

Tensorflow

Postgres

Jobbeschreibung

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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

Senior Software Engineer (m/f/d) - Audatic

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.

• 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 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 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)

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.