Architect and engineer állás, munka

Lead the design, development, and evolution of suena's backend and API infrastructure—ensuring scalability, performance, and reliability as our platform grows....

Design, develop, implement and own products and solutions to improve the security, reliability, and scalability of N26 cloud infrastructure and systems in the workload orchestration domain...

You build, validate, and analyse finite element models (FEA/FEM) for structural, crash, noise, vibration, roughness, and aerodynamic simulations....

You build, validate, and analyze finite element models (FEA/FEM) for structural, crash, noise, vibration, harshness, and aerodynamic simulations....

• Work closely with world leading experts in the field of Machine Learning and Video Editing
• Directly work in the core processing, render and ML code of our video and audio applications.
• Enhance your skills to remain at the forefront of the newest development, testing, and deployment techniques

• You will take overall technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

• Deliver creative customer facing features to bring German users on chain.
• Articulate a long term vision for maintaining and scaling our backend systems.

• You build and adapt large language, reasoning, and multimodal models for automation across engineering, manufacturing, and robotics.
• In addition, you create data flywheels and scalable data pipelines, define and curate high-quality fine-tuning datasets, and design efficient annotation workflows.

• Designing, building, testing and operating software solutions for logistics and manufacturing use cases incl. Robots, AGVs and other (semi) automated manufacturing equipment.
• Working in a hybrid infrastructure environment (cloud and on-prem), managing complex software deployments at scale

• You create advanced AI approaches for general-purpose robotics, with a focus on robotic foundation models.
• Furthermore, you train, finetune, evaluate, and deploy models such as vision-language-action architectures.

• You own the strategy and roadmap for domain specific foundation models; align with engineering and production leaders.
• You build and adapt large language, reasoning, and multimodal models for automation at scale.

• Lead technical discovery sessions to deeply understand and map complex merchant requirements.
• Design and present tailored payment solutions, clearly mapping Mollie's APIs and products to specific business needs.

• System Ownership & Lifecycle:
• Own the entire system life cycle
• for our public cloud-based infrastructure, including requirements gathering, architecting, vetting, building, and operational management.
• Automation & Operational Efficiency: Drive significant improvements in
• operational efficiency

• Collaborate with the sales team to understand customer requirements and provide expert guidance on how our SaaS solutions can address their challenges.
• Conduct product demonstrations and presentations to potential customers, showcasing the features and benefits of our API.

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....

• Design, build and maintain backend services with Kotlin and PHP (Symfony)
• Work on a high-traffic platform, optimizing for performance, stability and scale
• Ship fast, favoring MVPs and rapid iteration based on customer feedback
• Help improve our architecture and backend practices continuously

System Architecture Specifications: Create and maintain architecture specifications, interface definitions, and integration plans as the foundation for hardware, firmware, and software development teams....

Develop tools that enable large-scale forecasting and modelling of market sizes, market shares, and other key indicators across Statista's market insights coverage....

Develop and maintain data architecture: create and manage robust data architectures that support high-volume, high-throughput SaaS applications, focusing on reliability and scalability....

• Design, configure, and optimize interactions with LLMs through retrieval-augmented generation (RAG), and orchestration.
• Implement tool-calling patterns to integrate LLMs with SaaS tools and APIs.
• Leverage fine-tuning or parameter-efficient techniques for performance enhancement.