Software development engineer állások, munkák Külföldön

• Providing technical and managerial leadership for around seven software architects.
• Aligning architects across product lines and early project phases, and coordinating closely with project management and product management.

• Build and improve the WebRTC media pipeline across web, desktop and mobile clients, including audio, video, screen sharing and data channels.
• Develop and scale our Selective Forwarding Unit (SFU) and signaling services to support large meetings, webinars and breakout rooms.

• Work hands-on with our transcutaneous monitoring system
• Building Sensor Prototypes and test their performance
• Design experiments together with the team to answer key questions in product development
• Collect and analyze data, and present findings to the team

• Design and build AI agents and workflows that solve concrete business problems
• Take technical ownership of applied AI solutions - from architecture decisions to engineering standards and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure

• Drive the development and continuous improvement of CRM and other tools used in Technical Support, with CRM as the primary focus.
• As a member of the CRM Panel, gather and structure requirements and turn them into practical improvements together with process owners and IT.

• The data platform end to end: ingestion, storage, and the query paths that keep millions of records fast on screen. You design it, you build it, you run it in production.
• The platform layer, directly with the CTO: infrastructure, deployments, and the path to production for the whole team.

• Design and build AI-powered automation for software quality assurance, reducing manual testing effort over time
• Develop test and evaluation infrastructure for workflow, end-to-end, REST/gRPC API and contract testing, with CI/CD integration

Work upstream in the requirements process (PRD), establishing what each option costs to build and to run, what it commits us to later, and which one holds up once the commercial, medical and regulatory constraints are applied....

In this role, you design, co-create and implement enterprise-scale agentic AI systems together with business and IT teams, from solution architecture to production deployment....

• Further development of ESO's Requirements Management Tool.
• Support the Configuration & Asset Management for the ELT.
• Automation of hardware configuration and documentation management by using AI/ML.
• Support the Verification Management for the ELT.

• Design, implementation & maintenance of applications and services for our billing tracking products
• Collaboration with requirements engineers and business analysts to detail and clarify understanding and requirements

• Statutory accounting tasks in accordance with US GAAP
• Compliance with SOX requirements, Parker policies, and accounting procedures
• Accounts receivable, accounts payable, and fixed asset ledger activities
• Financial processes across Order-to-Cash and Purchase-to-Pay

• Design and develop embedded software for mechatronic control systems used in adaptive lithography optics systems
• Solve technically challenging problems as a senior expert and support and qualify junior developers within projects

• 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

• Lead the architectural vision and strategic direction for AI and machine learning systems across a distributed team in India and Europe.
• Architect unified, scalable and secure AI systems that supports international data sovereignty and regional privacy regulations.

Daten verstehen und Mehrwert schaffen: Sie analysieren Daten aus Produktions-, Qualitäts-, Engineering- und Business-Systemen, entwickeln Datenmodelle und identifizieren im Team Optimierungspotenziale, Trends und Zusammenhänge für datenbasierte Entscheidungen....

• Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e. g., SEM, TEM, EBSD).
• Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories.

• Development of FPGA/SoC-based digital designs for the control and readout of complex, robust laser systems
• Ownership of the full FPGA/SoC development lifecycle: from requirements definition and system architecture through RTL implementation, simulation and prototyping to a qualified product

The customer's decision problem. Sit with the people who plan today, understand capacities, costs, lead times and the constraints nobody wrote down, and turn it into a model whose answer a plant manager acts on. Inventory, scheduling, supply shortages, order prioritization: the decisions that...

• Create high-level distributed system architecture aligning with business requirements and technical constraints
• Provide technical guidance and leadership to development teams, ensuring that architectural standards and best practices are followed