Python Jobs in Gratkorn

In this role, you will develop embedded firmware for advanced NFC automotive platforms, conduct tests, and optimize collaboration between software and hardware.

In this role, you will implement automated tests for software written in C and a Java microservice, developing scripts in Python or Shell for test automation.

In this role, you will develop software architecture and design for embedded systems, support technical challenges, and manage requirements while ensuring code quality.

In this role, you will develop DSP algorithms for NFC products, specify and validate digital design sub-blocks, and collaborate closely with other engineers to effectively design integrated circuits.

In this role, you will develop an AI-based prototype for anomaly detection, collect and structure data from hardware platforms, and train and evaluate models for cybersecurity applications.

In this role, you will develop security tools and frameworks for Machine Learning pipelines, perform threat modeling, and implement monitoring solutions for model integrity and anomaly detection.

In this role, you support the RF validation team with test automation tasks, enhance existing test systems, and implement advanced debugging features for improved functionality.

In this role, you will develop firmware for advanced automotive NFC platforms, validate and test them within international teams, and address troubleshooting while adhering to high-quality documentation standards.

In this role, you lead RF-related NFC system validation projects for mobile products and optimize RF performance while closely collaborating with a global product development team.

In this internship, you will enhance the test environment for NFC/UWB systems. You will automate test executions, document results, and work with various lab equipment while also taking on security-related tasks.

In this role, you will develop efficient data pipelines for processing telemetry data, optimize data structures and models, and ensure data quality on cloud-based platforms.