Senior AI Infrastructure Engineer (f/m/x)

You will design, build, and operate GPU‐centric AI infrastructure (especially NVIDIA) across on‐prem and cloud environments, with a strong focus on performance, scalability, and efficiency. As part of your role, you take ownership of the architecture and operation of high‐performance compute environments for distributed training and optimised model execution. By optimizing compute, storage, and high‐performance networking (e.g., InfiniBand, NCCL), you enable large‐scale AI workloads in industrial contexts. You are responsible for developing and operating core infrastructure components search as scheduling and resource management systems (e.g., SLURM, Ray, Run:ai), ensuring efficient utilization of shared GPU resources. Using modern tooling, you build and maintain automated, reproducible infrastructure (e.g., Docker, Kubernetes, Terraform, Ansible, CI/CD). You contribute to BMW-specific AI use cases by providing reliable and scalable infrastructure. Your role is rounded by taking technical ownership of the AI infrastructure stack, defining best practices, and guide less experienced engineers.

University degree in Computer Science, Computer/Electrical Engineering or related subjects. Several years of professional experience (8–10 years) in industry, building and operating AI and HPC infrastructure. Strong hands-on experience with GPU systems (especially NVIDIA), including drivers, CUDA, and performance optimisation. Experience with distributed systems and high-performance networking (e.g. InfiniBand, NCCL), combined with experience in cloud environments (AWS, Azure) adjacent on‐prem infrastructure. Practical experience with resource scheduling and workload orchestration (e.g., SLURM, Ray, NVIDIA Run:ai). Strong experience in infrastructure automation (e.g., Docker, Kubernetes, Terraform, Ansible, CI/CD) and proficiency in Python for infrastructure and system-level tooling. Experience with training, fine-tuning, or serving ML models in production as well as exposure to large-scale industrial AI use cases (e.g. simulation, robotics, engineering) are nice to have.

Challenging projects with which we shape the mobility of tomorrow together. Wide range of personal and professional development opportunities. Attractive, fair and performance-related costs. High level of job security. Annual special payments search as vacation pay, Christmas bonus, and profit sharing. Flexible working hours including six weeks annual leave and overtime compensation. Discounted BMW & MINI conditions. Many other benefits at bmw.jobs/benefits Earliest starting date: from now on Type of employment: unlimited Working hours: full-time