2511 English-speaking jobs in Bavaria

Design and experiment with novel Transformer and GNN architectures for a unified foundation model understanding relational databases and heterogeneous graphs. Work spans ML lifecycle, impacting applications like fraud detection and forecasting.

Developer Relations Manager for CAE at NVIDIA. Drive platform adoption by nurturing strategic partnerships, providing technical expertise, and guiding product strategy with ISVs and open-source developers. Requires 8+ years in CAE software tools.

Business Development Lead, Automotive, seeks to grow partnerships with key European automotive customers. This role champions NVIDIA's AI and accelerated computing platforms, requiring technical literacy and strategic go-to-market experience.

Research and develop techniques to GPU accelerate deep learning and AI workloads. Optimize complex AI/HPC algorithms on CPU/GPU architectures. Requires 15+ years experience, C/C++ fluency, and parallel programming expertise.

Senior Developer Relations Manager focusing on Smart Spaces and Local Government. Foster ISV adoption of NVIDIA AI/computing platforms by building ecosystem relationships, providing technical guidance, and accelerating workloads. Requires deep technical expertise and go-to-market experience.

Lead technical engagement with startups and partners building AI/GenAI for Retail and Media & Entertainment. Evangelize NVIDIA's portfolio, guide developers using tools like TensorRT-LLM, and gather feedback to shape roadmaps.

Senior Deep Learning Compiler Engineer to build next-gen tools for PyTorch on NVIDIA GPUs. Lead design and optimization of core compiler technologies for deep learning workloads. Requires 8+ years experience, Python, PyTorch/JAX, and compiler concepts.

Senior Solutions Architect to build AI/HPC infrastructure. Requires 8+ years in networking fundamentals, TCP/IP, and data center architecture. Must be proficient in InfiniBand, LAN, and automation tools.

Support the Enterprise EMEA Sales team by ensuring smooth sales operations, accurate order execution, and high-quality customer support. Manage processes, reporting, and data using tools like SAP, Salesforce, and Excel.

Senior CPU Compiler Performance Engineer to design compiler and hardware software together. Responsibilities include analyzing AI workloads and developing performance-optimized compiler SW for NVIDIA CPUs. Requires 8+ years experience and knowledge of compiler optimization.

Define and drive NVIDIA's JAX strategy, coordinating teams to ensure peak performance across heterogeneous supercomputers. Lead engineering, build partnerships, and guide JAX readiness for next-gen architectures.

Lead the global Accounting Center of Excellence, overseeing Group accounting governance and IFRS compliance for a large industrial group. This role drives accounting standards, reporting, and transformation across international entities.

Contribute to pioneering technical advances in foundation models on structured data and world models for business problems. Define benchmarks, architectures, and execute scientific experiments using structured business data.

Design, build, and deploy AI-native data and application solutions within customer environments. Act as chief technical authority, defining architecture and strategy for complex, business-critical applications. Requires 8+ years in AI native application or software engineering.

Define AI engineering direction for strategic customer engagements. Act as the deepest technical authority on AI, architecting and scaling AI-native applications. Lead evaluation of emerging AI capabilities.

Lead complex data science and applied AI initiatives, translating business strategy into scalable analytical solutions within customer environments. Act as a technical authority, guiding stakeholders on advanced modeling and AI implementation.

Tech Lead & Staff Scientist to define and prototype a composable, multi-modal architecture for foundation models focusing on semi-structured data like text or code. Requires strong expertise in LLMs and ML frameworks.

Drive technical advances in foundation and world models on structured business data. Define research agendas, publish findings, and collaborate with academic partners. PhD required in relevant fields.

Contribute to pioneering technical advances in foundation models on structured data and world models for business problems. Define benchmarks, architectures, and execute scientific experiments using structured business data. PhD/Master's required with 5+ years in ML on Structured Data.

Develop Grounded AI for sales workflows, architect scalable AI components, and mine operational datasets. Requires strong engineering fundamentals, Python, LLM experience, and data analysis skills.