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• Architecture and delivery of production-grade LLM systems and classical ML solutions
• Design, evaluation, and optimization of RAG pipelines
• Building scalable, production-grade LLM services and agentic workflows alongside traditional ML systems

• Designing test strategies, test plans and test cases for complex, distributed systems
• Building and maintaining automated test suites (functional, integration, regression and end-to-end)
• Testing APIs and backend services, including validating data flows end to end

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

Predictive ML: Build models for lead generation, demand forecasting, residual value forecasting, portfolio steering, and fraud detection....

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.

• You evaluate priority use cases for industrial service robotics in close collaboration with ABB's divisions, academia and technology partners
• You design and develop service robot solutions built on commercial robot hardware platforms extending their capabilities for industrial environments

• 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 kutatás és dokumentáció készítése a kutatás folyamatáról
• Patch diffing készítése BinDiffel

• Design, development, and deployment of robust development tools and scalable infrastructure
• Collaboration between stakeholders and engineering team
• Automation of manual processes and optimization of CI/CD pipelines
• Code review and testing for high-quality deployments

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

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....

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....

• Design, develop, and integrate novel components, for example for establishing trust (e.g. SPIFFE / SPIRE), securing network connections (e.g. mTLS, IPSec), and secure device onboarding (e.g. FIDO Device Onboarding).
• Maintain and continually enhance our existing software written in Rust.

• 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....

• Contribute to the full software development lifecycle, from concept to product release
• Design and implement software components and services across system layers using C++, C#, Rust, and modern web technologies (TypeScript, HTML5, React)