Senior DevOps Engineer Deep Learning Platform (f/m/div.)
Stuttgart, Germany
Applications have closed
Bosch Group
Moving stories and inspiring interviews. Experience the meaning of "invented for life" by Bosch completely new. Visit our international website.Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: We grow together, we enjoy our work, and we inspire each other. Welcome to Bosch.
The Robert Bosch GmbH is looking forward to your application!
Job Description
We are Bosch Digital. Our mission is to shape the digital future of Bosch together with our business divisions. We invent, code and create digital products, services and solutions that spark enthusiasm and improve quality of life. Bosch Digital is home to more than 10,000 unique and diverse talents around the world. Our agile mindset and working culture are a key driver of digital transformation at Bosch and gives both our associates and their ideas room to grow.
- As DevOps Engineer you are responsible for the design, build and run of Bosch’s internal platform for AI and GPU computation
- As part of an international team, you work closely with other DevOps engineers and AI practitioners to shape the future of AI at Bosch
- Your experience with parallel and distributed system design, implementation and operation helps you to orchestrate and automatically deploy the platform.
- Your know-how in the AI domain and/or GPU computing applications helps you to further develop the platform according to customer requirements
- As part of your work, you also ensure stable operations of the platform, e.g. by implementing monitoring and automation, integrating with other parts of Bosch IT infrastructure, and meeting security and compliance requirements.
- You support the users of the platform by restoring service operation as quickly as possible in case of failures, communicating planned and unplanned outages, and implementing bug-fixes.
Qualifications
- Education: university degree in Computer Science, Information Technology, Sciences, Engineering or related fields
- Personality: communicative, responsible
- Working Practice: structured, independent
- Experience: multi-year hands-on experience in designing, building and running complex parallel system environments (e.g. HPC); Practical experience in parallel filesystems and high-performance networking; Hands-on experience in software development and deployment orchestration; Experience in Data engineering, Machine Learning, and/or GPU computing is beneficial.
- Knowledge: know-how in Linux administration, deployment orchestration and monitoring technologies (e.g. terraform, ansible, prometheus); knowledge in HPC technologies (batch scheduling systems, parallel file systems); software development knowledge (e.g. git, Python); knowledge of Machine learning frameworks (e.g. scikit-learn, tensorflow) and/or GPU computing (CUDA, cuDNN) is beneficial
- Languages: business fluent English, German is a plus
Additional Information
Apply now in just 3 minutes! You want to work remotely or part-time - we offer great opportunities for mobile working as well as different part-time models. Feel free to contact us.
Need support during your application?
Anna Haas (Human Resources)
+49 711 811 27525
Need further information about the job?
Benjamin Schäfer (Functional Department)
+49 711 811-30206
Interested in this or similar positions? Have a look at our Virtual JobFair@BOSCH and get to know our challenging and exciting projects at BOSCH. You will find further information and dates on our website: www.bosch.de/events/
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Ansible Computer Science CUDA cuDNN Deep Learning DevOps Engineering Git GPU HPC Linux Machine Learning Python Scikit-learn Security Spark TensorFlow Terraform
Perks/benefits: Career development Team events
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