Job
- Level
- Experienced
- Job Field
- IT, DevOps, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you will design scalable cloud and hardware solutions for AI workloads, optimize storage and networking, and implement security and management measures for production systems.
Job Technologies
Your role in the team
- You architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, while optimizing storage and networking for throughput, resilience, and cost efficiency.
- Furthermore, you engineer, deploy, and manage production-grade AI systems for fine-tuning, inference, and scalable serving of modern AI and Industry Foundation Models.
- In addition, you build and evolve platform capabilities for reliable deployments, Infrastructure as Code, observability, monitoring, and continuous model lifecycle management.
- Moreover, you design scalable data pipelines and AI data flywheels that provide high-quality data and enable continuous learning.
- Additionally, you design robust AI services and integrate them into enterprise platforms while ensuring security, reliability, and operational excellence.
- Finally, you design secure-by-default AI infrastructure and implement identity and access management, infrastructure hardening, secrets management, and security controls for enterprise AI platforms.
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Our expectations of you
Education
- University degree in Computer Science, Systems Engineering, or a comparable technical discipline.
Qualifications
- Starkes Verständnis von Cloud-Sicherheit, Sicherheit der Unternehmensinfrastruktur, Identitäts- und Zugriffsmanagement, Netzwerktechnik und Plattform-Hardening.
- Commitment to continuous learning, including current developments in AI infrastructure, cloud platforms, platform engineering, cybersecurity, and emerging AI technologies.
Experience
- At least four years of professional experience designing, building, and operating modern cloud, AI, or platform infrastructure in production environments.
- Hands-on experience with AWS, Azure, and high-performance GPU clusters, including NVIDIA GPUs, CUDA, NCCL, and InfiniBand.
- Strong programming skills in Python with experience in Infrastructure as Code, APIs, CI/CD, automation, and observability.
- Practical experience with PyTorch and distributed AI training technologies such as Ray, Slurm, or Kubernetes.
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What we offer
- Challenging projects with which we shape the mobility of tomorrow together.
- Wide range of personal and professional development opportunities.
- Attractive, fair, and performance-related remuneration.
- High level of job security.
- Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
- Flexible working hours including six weeks annual leave and overtime compensation.
- Discounted BMW & MINI conditions.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
BMW AG
Our world-leading premium automotive brands BMW, MINI, Rolls-Royce and our motorcycles, along with our comprehensive range of high-quality financial and mobility services make us a unique provider.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Employer reviews
by devworkplaces.com
Total
(2 Reviews)3.1
Career Growth
3.1Engineering
2.3Culture
3.1Workingconditions
4.1
AI Infrastructure Engineer
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
