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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. 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 making the neural network training process 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. We host our infrastructure on Azure. 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 environment Note: We care about growth, potential, and transferable skills. If you are passionate about this role but don't check every box, please apply anyway! 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) Familiarity with embedded DNN inference runtimes and model formats (TFLite Micro or similar) 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 Company-sponsored public transport ticket (Deutschlandticket) Hybrid work model (at least 60% on-site)
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.