Junior tanácsadó állás, munka

• Capture of customer requirements and formalisation in system requirements
• Refinement of equipment requirements
• Preparation and participation in workshops with stakeholders
• Coordination with and support of software development
• Planning and execution of integration tests

Design and implement a prototype that automatically generates firmware code from IP-XACT and ASIC specifications, pushing automation in embedded development...

• Improve and extend our virtual simulation pipeline for sensor-based applications and make it faster and more reliable
• Enhance SystemC models and integrate different µController components to optimize communication between hardware and software

Support our development engineers in supervising inertial sensors during ramp-up and series production and contribute to continuous improvement through data evaluation, advanced analytics, statistics and failure analysis using Python-based toolchains...

• Development of tests for safety and mission critical software in the field of helicopter avionics
• Analysis and debugging of software in context of test operations
• Implementation of automated scenarios
• Carrying out formal software acceptance tests including reviews and documentations

• Responsible for the creation, review and revision of requirements in a helicopter avionics development process
• Working in the V-Model
• Working in unity with software and test engineers
• Documentation in DOORS

• Design, develop, and implement algorithms tailored to Sentec systems, ensuring efficiency, accuracy, and reliability
• Embedded Software Development: Develop and maintain embedded software applications in C and C++, adhering to industry standards and best practices

• Ensuring the sustainability of community ESM codes, and enabling the adoption of modern HPC systems
• Enabling and improving high-performance computing capabilities of ESM codes, including performance optimization

• YOUR RESPONSIBILITIES:
• Design and implement high-performance software components for complex distributed systems, focusing on C++ development and advanced network protocols.
• Develop features aligned with the product roadmap and implement custom solutions for individual customer requirements.

• You implement numerical simulation methods and their applications for large scale power systems.
• You develop high performance algorithms for dynamic simulation taking also advantage of hardware-based acceleration techniques such as FPGA or GPU.

• Help Shopify run its planet scale systems by enabling our engineering teams to create resilient systems.
• Build and improve tools to keep our platform resilient and performant.
• Help define what Resiliency and Site Reliability Engineering means for Shopify.

• You will continuously develop and improve our booking app for Android and iOS.
• Working with Kotlin Multiplatform (KMP) and other modern frameworks will be part of your daily routine.
• You will work closely with other teams to find the best solutions.

• The program will start July 1st, 2026
• During your 14-month trainee program you work on exciting projects at home and abroad, tailored to your profile and career goals

• Collaborate with agile multidisciplinary teams on diverse consulting projects. 
• Participate in brainstorming sessions and contribute innovative ideas. 
• Architect, design and implement features for customers, products and internal tools. 

Design and implement cloud-native data pipelines using GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and Cloud Storage Develop and optimize data ingestion, transformation, and orchestration workflows for analytics, BI, machine learning, and large-scale processing use...

• Discussing and clarifying requirements with our internal domain experts
• Design and development of the algorithms that are optimized over various layers of our software stack
• Design and development of the software that interacts with specific hardware components

• Recording customer requirements and formalising them into system requirements
• Refining device requirements
• Monitoring project status using configuration management tools such as Jira and Confluence
• Preparing for and participating in workshops with stakeholders

• Develop, test, deploy, and monitor scalable filter pipelines and transformation processes that extract relevant metrics and features from billions of events.
• Data management in a Data Lake.
• Collaborate with data scientists and software developers to optimize and scale high-performance ML models.