Python programmer állások, munkák egyetemi végzettséggel

Contribute to steering our investment portfolios and developing AIM's investment strategy based on fundamental market analysis. The position has a focus on traded fixed income and derivatives overlay strategies....

• As a systems engineer, you will work closely with colleagues in the project teams
• If you are interested and suitable, you will also participate in software development for air traffic control products
• You will act as the technical interface between the customer and our internal contacts

Implement and maintain the core software platform for self-driving lab systems, including the service layer, internal APIs, and data flow between subsystems...

Development of conceptual and practical understanding of investment problems Driving new research and product capabilities Guidance of implementation across multiple development teams Conducting and publishing applied research on market developments Engagement with clients in an advisory capacity...

You design and develop next-generation architecture at the intersection of multi-modal perception, foundation models, behavior learning, and end-to-end autonomous driving....

Where you belong: Where you belong: ...

• Work hands-on on an AI-driven proof-of-concept for core after-sales processes
• Support the implementation and testing of PoC components such as data products, machine learning models, agent workflows, or UI elements

Own the end to end manufacturing process for avionics assemblies and electrical harnesses, including routing, termination, integration, and acceptance testing....

Understanding implementation of Fixed Income Derivative Pricing Models written in C++ including yield curve, inflation, FX and volatility derivative models Quantitative modeling involving analysis of model output and time-series to define correctness criteria and thresholding measured daily...

Guiding customers in adoption of NVIDIA's compute, networking, and software stacks to deliver end-to-end GenAI and Agentic AI solutions Using cloud native methodologies, low latency networks, and accelerated compute to help build modern AI factories Sharing knowledge through delivering demos,...

• Translate business requirements into technical solutions through workshops, prototyping, and iterative delivery
• Collaborate with customers across the delivery lifecycle (workshops, reviews, UAT) to refine and optimize solutions

You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments....

Scalable Data Pipelines: Design, build, and operate automated pipelines on Apache Airflow to transform largescale automotive datasets reliably and on schedule....

• Set up and integrate complex robotics systems for mobile manipulation tasks
• Computer vision algorithms are often developed in close collaboration with Computer Vision and AI Engineers
• Hardware drivers for various types of new robots, actuators, and sensors
• New UI screens

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

Analyse security data from diverse sources, including logs, EDR solutions, and network traffic, to identify and assess threats. Coordinate and lead security incident response efforts, including containment, eradication, and recovery....

Analyse security data from diverse sources, including logs, EDR solutions, and network traffic, to identify and assess threats. Coordinate and lead security incident response efforts, including containment, eradication, and recovery....

• Development, training, and evaluation of machine-learning interatomic potentials.
• Distillation of machine-learning interatomic potentials into computationally efficient models suitable for large-scale production simulations.

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, storage systems, and the APIs that...

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions