Ensure quality through unit testing, code reviews, and close collaboration with your team. What You Bring A degree in Computer Science or a comparable technical field. Solid experience in frontend development – especially with TypeScript and Vue.js. Ideally, familiarity with Docker, Kubernetes, Linux/Windows, and GitLab.
Analyze system requirements and assess the feasibility of testing in simulated environments as well as in vehiclesDesign and develop test cases for system requirements, particularly for IVI systems including navigation, telematics, and streaming servicesExecute integrated system tests on test benches and in-vehicle environmentsTake ownership of key test milestones, such as quality audits and final release gate checks for new vehicle platformsCollaborate closely with Tier-1 suppliers and coordinate activities with our R&D headquarters in KoreaTrack issues and manage bug fixes using JIRA, ensuring alignment with vehicle line timelines and software release planReview and challenge technical solutions with a focus on system performance and market competitivenessIdentify improvement opportunities based on European market trends and actively support their implementation Bachelor’s or Master’s degree in Computer Science, Engineering, Electrical Engineering, or a related fieldPractical experience conducting driving tests within the EU region, ideally in the area of automotive infotainment validationExperience in system validation, preferably covering navigation, connected car services, and streaming applicationsFamiliarity with configuration management and version control toolsBasic knowledge of data analytics is an advantageStrong planning and organizational skills with a structured working approachHigh level of flexibility and motivation to work in an international and cross-cultural environmentVery good command of the English language, both written and spokenWillingness to travel and conduct driving tests; valid European driving license (Category B) required Pleasant working atmosphereChallenging and varied tasks in a promising and innovative industryDynamic and innovative market environmentA highly motivated team and an open communication styleAngenehmes Arbeitsklima Ihr Kontakt Ansprechpartner Annika Chrysant Referenznummer 858521/1 Kontakt aufnehmen E-Mail: annika.chrysant@hays.de Anstellungsart Anstellung bei der Hays Professional Solutions GmbH
This appeals to you: Design, develop, and implement embedded software solutions for various microcontrollers and processorsCollaborate with hardware engineers to define software architecture for embedded systems, considering hardware constraintsWrite efficient, reliable code in C, C++, or assembly language for embedded systemsDevelop software for RTOS (Real-Time Operating System) to ensure timely and predictable task executionCreate and optimize drivers for peripherals and interfaces like sensors, actuators, and communication modulesIdentify and resolve issues through debugging and testing to ensure system stability and performanceWork with cross-functional teams, including hardware engineers and quality assurance, to deliver integrated solutionsImplement security measures to protect embedded systems from vulnerabilities and cyber threatsOptimize code and algorithms for resource-constrained environments, considering factors like power consumption and memory usage This is you: Bachelor’s or higher degree in Computer Science, Electrical Engineering, or a related fieldProficiency in programming languages such as C and C++Experience in embedded systems development with knowledge of microcontroller/microprocessor architecturesFamiliarity with real-time operating systems (RTOS) and embedded development toolsKnowledge of communication protocols (e.g., SPI, I2C, UART) and networking protocols is a plusUnderstanding of hardware design principles is advantageousStrong problem-solving skills and attention to detailExcellent communication skills for effective collaboration and documentationIndustry-specific certifications or relevant experience may be preferredGood German and Englisch language skills What we offer: Future prospects in an innovative, growing, and agile companyAn exciting work environment with diverse career opportunitiesCompetitive, industry-standard / above-industry-standard salaryFlexible working hours and the option for remote work30 vacation days per year and special leave for significant occasions when employed at Xtended EngineeringBonus programs for referrals and employee recruitmentTeam events Xtended Engineering GmbH connects skilled engineers with companies in the industrial and commercial sectors.
. • Directly communicate with internal and client statisticians and clinical team members to ensure appropriate understanding of requirements and project timelines • Estimate programming scope of work, manage resource assignments, communicate project status and negotiate/re-negotiate project timelines for deliverables • Use and promote the use of established standards, SOP and best practices • Provide training and mentoring to SP team members Requirements: • Bachelor's Degree in Maths, Computer science, Statistics, or related field • 7+ years’ Statistical Programming experience within the Life Science Industry • Strong Efficacy experience • Advanced knowledge of statistics, programming and/or clinical drug development process • Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro • Language • Advanced knowledge of relevant Data Standards (such as CDISC/ADaM/SDTM) Join IQVIA to see where your skills can take you • Global exposure • Variety of therapeutic areas • Collaborative and supportive team environment • Access to cutting-edge and innovative, in-house technology • Excellent career development and progression opportunities • Work-Life Balance, with a strong focus on a positive well-being Unleash your potential!
This includes the ability to work unsupervised, under pressure and meet deadlines • Creative with strong commitment to quality and excellence, and a continuous improvement mindset • Communication and time-management skills • Strong analytical skills and efficient problem solving • You are educated on master degree level in IT Security, Computer Science or equivalent, fluent in English WHAT IS THE PLUS POINT (S): • Certifications such as SEC545 (SANS), CCSP(ISC2), CISSP, CCSK(CSA), Microsoft Certified Azure Security or similar • DevSecOps experience related to application deployments on multi cloud • Strong experience on cloud platforms such as Google, Amazon and Azure WHAT YOU WILL GET FROM US: • Great team of IT professionals with global working exposure • On-going professional and technical training and certifications • Global internal job opportunities available within DPDHL • A multicultural environment • Meal Card and Flexible Benefits – customized according to individual needs • Choose any day for your vacation from earned public holiday (Saturday and ad hoc) • Smart casual dress code • Company Outpatient Medical • Home office possibilities Sounds good?
The position has a high travel requirement, domestically and/or internationally Capability to comprehend and adapt to rapidly changing technologies Proficient computer skills utilizing MS Office basic programs (MS Word, Excel, Outlook, PowerPoint) Will be a plus familiarity with several technologies such as Mechanical & rotating systems, basic understanding of hydraulic systems.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g. OpenCV, TensorFlow, PyTorch) Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g.