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CI/CD ownership: Own and evolve our shared GitHub Actions platform so it stays maintainable, reliable and easy to adopt across the team's repositories. Our stack is mainly Python, so you'll need a solid grasp of the Python packaging and tooling ecosystem. Occasionally you'll extend the platform to...

• Surgical microscopes creating surgical augmented reality
• Ultrasound devices creating 3D ultrasound imaging
• Brainlab's own Robotic Arm (Cirq)

• Develop and maintain embedded software for ARM-based SoC and FPGA control platforms.
• Configure and integrate embedded Linux/PetaLinux, including board-support packages, bootloaders, device trees and peripheral drivers.

• Design, extend, and maintain a high‑performance Yocto‑based Linux distribution tailored for cutting‑edge embedded platforms
• Configure, optimize, and support bootloaders, Linux kernels, and BSPs for custom hardware solutions

Building efficient and scalable ETL/ELT processes to ingest, transform, and load data from various structured and unstructured sources (databases, APIs, streaming platforms) into BigQuery and Cloud Storage...

• Create and implement test strategies and concepts for all test levels in embedded, cloud, mobile and web applications
• Improve our development and testing processes, methods and tools, and support the development teams
• Plan, set up and maintain test environments and automation frameworks

• Sérülékenységek keresése Windowsban és asztali alkalmazásokban
• Önálló ötletek megvalósítása és kutatás irányának meghatározása
• Dokumentálás a kutatás folyamatáról, beleértve a haladást, a végrehajtott lépéseket és a következő irányokat

You architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, while optimizing storage and networking for throughput, resilience, and cost efficiency....

Identify and evaluate market- and technology-relevant trends in semiconductors (e.g., Lithography & chiplet technologies, advanced packaging, integrated photonics, inspection & metrology, 2D materials)....

• You understand our platform architecture, existing integrations and tech stack (C#/.NET, MongoDB, Docker, Kubernetes, GCP/Azure) deeply enough to independently plan and ship features and integrations.
• You've shipped your first hardware provider integration or significantly improved an existing one.

You understand our platform architecture, existing systems and tech stack (C#/.NET, MongoDB, Docker, Kubernetes, GCP/Azure) deeply enough to independently plan and ship features....

Drive End-to-End Robotics Deployment: As a Chief Expert Robotics, you will lead the technical implementation and architecture of advanced robotic systems by translating complex algorithms into reliable, production-ready hardware and software solutions....

• Contributing to the design, development, and deployment of robust development tools and scalable infrastructure that support the engineering lifecycle
• Acting as a bridge between stakeholders and the engineering team, translating business requirements into technical specifications

• Developing native Swift/iOS applications
• Designing user interfaces and functions as planned
• Taking part in requirements gathering, project and technical planning
• Writing Unit and UI tests, participating in developer testing
• Continuous learning

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.

• Building and maintaining scalable cloud infrastructures using modern services and best practices
• Proactively detecting, analyzing, and fixing vulnerabilities and performance bottlenecks in cloud environments

Architecting and implementing scalable AI/ML solutions on Azure (preferred) or GCP, leveraging services such as Azure Databricks, Azure ML Studio, Data Lake Storage, Event Hubs and Functions (or GCP equivalents)...

Architecting and implementing scalable AI/ML solutions on Azure (preferred) or GCP, leveraging services such as Azure Databricks, Azure ML Studio, Data Lake Storage, Event Hubs and Functions (or GCP equivalents)...

• An opportunity to build the foundation for next-generation products
• The possibility to conceptualize and implement interaction design and to prototype with new hardware and sensors
• Mentorship by experienced PhD-level experts
• The option to write a master thesis following an internship position

Analyze AI computing systems end-to-end: Understand how training and inference workloads run on modern data-center architectures and identify the fundamental bottlenecks in compute, memory, interconnects and energy efficiency....