Python állások, munkák egyetemi végzettséggel

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Participate in monitoring, troubleshooting, and resolving data processing issues

You will design and deliver end-to-end ADAS AI models such as object detection, behavior prediction, and trajectory planning - from data analysis and model design to SOP-ready release....

Writing reusable, testable, and efficient code, mainly in Python Mastering the integration of user-facing elements developed by front-end developers with server side logic Being a magician of integration of data storage solutions Handling security and data protection professionally and precisely...

Your responsibilities will encompass overseeing the launch of the ESC in 2025, working closely with global AWS teams, and influencing the evolution of AWS services and technology. A typical day in this role involves collaborating with technology leaders, contributing to the enhancement of...

Linux on AWS: Operate and harden Debian and Ubuntu systems in high-availability environments. Improve patching processes, performance tuning, automation, and overall resilience....

WHAT SHOULD YOU EXPECT DURING THE 2-YEAR PROGRAM? Stretch Rotations You will boost your strategic thinking and influencing skills having the sole responsibility of planning, overseeing, and executing 4 exciting data science projects. The projects will be supported by different teams, giving you the...

Build and maintain simulation environments using NVIDIA Omniverse and Isaac Sim for robotic perception, manipulation, and navigation. Develop and integrate robotic behaviors and learning pipelines using Isaac Lab for reinforcement learning and motion planning. Create and manage OpenUSD-based...

NEW SOLUTIONS EMERGE WHEN THINKING ISN'T HARD-WIRED. More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly new solutions. Naturally, this includes flexible working models, so that our...

Cloud platform engineering: Develop and implement automation processes for the deployment and operation of cloud software and services using platform engineering, infrastructure as code (e.g., Terraform), and Kubernetes....

• Develop and adapt bioinformatics approaches for the analysis of human genomic and epigenomic data sets
• Design and implement analysis workflows for the analysis of long-read whole-genome sequencing and targeted short-read sequencing (hybridization capture, MeDIP-seq) data

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

Mastering in integrating rendered layers and producing the final look of the shots Creating and managing additional lighting tasks...

• 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

• Collaborate with developers to establish processes that ensure delivery of quality backend and UI part of the platform.
• Write and run test cases based on real production work, and create scripts for automation.

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

Build a platform integrations between Designate and external platforms (e.g., Qualtrics, Bluesky, Mastodon, etc)—including authentication, API calls, and error handling...

Directly impact your team's tech scope: work hand in hand with PM and EM to manage product technical roadmaps and dependencies to minimise technical debt....

• Ensure consistence of defined scope of test means with the testing strategy
• Derive test means requirements from test objectives
• Support / Drive test bench development and design
• Follow-up SUT (System under Test) development and validate delivery to the test facility

• Supporting the development and improvement of tools to quantify credit risk, analysing its results and proposing appropriate measures
• Supporting projects related to credit risk quantification, including data infrastructure and quality

Conduct research in automated software engineering, including LLM-based code representation, automatic program repair, and generative AI for test generation. Design next-generation user interfaces and architectures for AI coding agents. Provide technical leadership and collaborate with global R&D...