GlobalLogic Sweden AB jobb

GlobalLogic is looking for a Data & AI Engineer to join an innovative team working at the intersection of Artificial Intelligence, data analytics, and automotive software verification. The team is developing an AI-based Measurement Analytics Tool designed to unlock insights from the large volumes of measurement data generated during vehicle software testing. The solution will help engineering teams reconstruct tests from measurement data, identify usage patterns, detect abnormal behaviour, analyse faults, and generate test and fault reports more efficiently. This is an excellent opportunity for a recent graduate or early-career engineer who has strong Python fundamentals, an interest in AI/ML, and a passion for solving real-world engineering problems. You will work alongside experienced software and test engineers and automotive domain experts, gaining hands-on exposure to vehicle systems, measurement data, diagnostic logs and modern AI technologies. Job Responsibilities AI/ML Development Support: Assist with the development, testing, and documentation of AI/ML components and data-processing pipelines for automotive measurement data. Data Cleaning & Analysis: Parse, clean, structure, and analyse numerical telemetry, vehicle signals, diagnostic logs, and other measurement data. Test Data Analytics: Support the identification of predefined test patterns within vehicle measurement data and generate test results and coverage analysis. Machine Learning & Prototyping: Implement and evaluate basic analytical models, including time-series analysis, classification, clustering, and anomaly detection. AI/LLM Support: Assist with developing and testing AI/LLM-based assistants, including prompt engineering and evaluation of AI-generated responses for test analysis. User Journey Analysis: Analyse historical vehicle usage data to identify patterns and support the generation of representative/synthetic user journeys. Python Development: Write clean, maintainable, and well-documented Python code for data processing, analytics, and automation. API & UI Development: Assist in developing simple APIs and web-based interfaces to expose data analytics and AI capabilities. Technical Collaboration: Work closely with senior engineers and automotive domain experts to understand requirements, learn vehicle systems, and implement solutions under guidance. Documentation: Document technical solutions, analysis results, experiments, and developed components. Requirements: Master’s degree in Data Science or Artificial Intelligence Solid foundational programming skills in Python. Ability to write Python scripts to parse, filter, transform, and analyse raw data such as CSV files, text files, logs, and telemetry data. Familiarity with Python data-analysis libraries such as Pandas, NumPy, and Matplotlib. Understanding of data structures, algorithms, and software development principles. Proficient in Computer Vision, OpenCV, Image Classification, Object Detection, TensorFlow, PyTorch and Tableau Exposure to machine learning fundamentals, such as time-series analysis, classification, clustering, anomaly detection, or introductory NLP. Skilled in Generative AI, LLMs, and prompt engineering. Familiarity with Git/version control is an advantage. Strong analytical and problem-solving skills. High curiosity and willingness to learn new technologies and complex technical domains. Good communication and collaboration skills, with the ability to work effectively with senior engineers and domain experts.

Role Overview Join our Media Lab team as a Lab Systems Administrator where you'll contribute to real-life, state-of-the-art technology to validate audio and video quality at a big tech company. You will ensure that our testing lab infrastructure is stable, standardized, and ready to run critical product testing. This role blends hands-on hardware troubleshooting with systematic systems administration, including OS upgrades, automated configuration deployment and lifecycle management of 3rd party applications. Core Responsibilities Daily Operations & Maintenance System Health: Proactively investigate and resolve issues with unhealthy devices. You will document exact reproduction steps and contribute to the "Device Maintenance Playbook" to streamline future fixes. Inventory Management: Maintain accuracy in the device inventory database. You will track hardware components and maintain a professional lab environment. Reporting: Deliver weekly lab administration reports, highlighting progress and escalating blockers Planned Systems Administration Software Lifecycle: Manage monthly 3rd-party application updates across all platforms. OS Maintenance: Lead quarterly OS update cycles. This involves creating comprehensive test and rollback plans, performing backups. Documentation: Ensure all update processes and maintenance steps are documented in the centralized knowledge base. Hardware Deployment & Scaling: Physically set up new devices, image OS, configure new machines using centralized configuration tools and validate running comprehensive test suites to verify hardware health and ensure core functionality is operational before going live. Who You Are Detail-Oriented: You don’t just fix a problem; you document the "how" and "why" to prevent it from happening again. Technically Savvy: You have experience with OS imaging, network connectivity troubleshooting, and hardware maintenance. Process-Driven: You enjoy following (and improving) playbooks and standardized procedures. Programming enthusiast: You enjoy programming and automating systems. Required Skills Program title required: IT-infrastrukturspecialist, Systemintegratör, Cloud-specialist, Nätverkstekniker, or similar. Experience with Linux/Windows/macOS administration. Experience with coding in Power Shell, Bash and Python. Understanding of Network Hardware and testing environments. Project management skills. Professional English both written and spoken. Excellent teamwork and communication abilities. Great problem-solving and analytical skills. Strong communication and collaboration skills. Preferred Qualifications: Experience with fleet management. Knowledge of embedded systems and OS. Experience with audio and video systems.

We are looking for a talented and driven individual to work on Audio signal processing and HW/SW technologies. The role focuses on evaluating, testing, and improving audio systems for various communication devices. The work involves firmware testing, acoustic tuning, audio evaluation, bug investigation, and contributing to the development of innovative products. By joining us, you will have the opportunity to work on cutting-edge technologies in a collaborative and supportive team environment. We offer potential for growth and development, and the chance to contribute to a company that values diversity and innovation. Responsibilities: Conduct performance analysis and optimization of audio processing systems. Audio tuning of devices for real time communication optimization. Perform system acoustic evaluations and subjective analysis across various devices. Measure and analyze audio characteristics, performance and quality on different operating systems and devices. Develop and maintain evaluation pipelines and dashboards for audio testing. Document and communicate test results and debugging processes in reports. Provide technical support for audio systems using different lab set-ups and audio tools. Contribute to the development of innovative products. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. Background in audio signal processing. Proficiency in coding with C++ and/or Python. Familiar with audio systems and technologies. Knowledge of embedded systems and OS. Ability to set up and conduct lab experiments and evaluations. Strong technical skills and a willingness to learn new technologies. Excellent teamwork and communication abilities. Great problem-solving and analytical skills. Strong communication and collaboration skills. Preferred Qualifications: Experience with various audio devices used in communication systems. Experience with firmware testing and debugging processes. Experience with Artificial Intelligence (AI) and Machine Learning (ML) technologies.

At least 5 years continuous experience in data engineering area. • E. B.Sc. or M.Sc. in Computer Science, Engineering, Information Technology or equivalent work experience. • Strong knowledge and hands on experience of big data technologies such as data lakes, Apache Spark, Flink, Kafka etc. • Good knowledge of data warehousing concepts and ETL processes, DevOps, CI/CD and software testing. • Expertise with one of programming languages such as SQL, or Python. • Have working experience of AWS (Redshift, EMR, S3) and Azure (Data Factory, Power BI service) data analytics services. • Experience with Data platform tools like Databricks and/or Snowflake. • Be able to use Power BI for data analytics and visualization. • Be able to manage data platform with IaC (Infrastructure as Code) will be preferred. • Experience with connectivity data in automotive industry will be preferred. • Fluent in English with Chinese skill as a plus Responsibilities and Deliveries • Design, develop and maintain scalable batch and stream data pipelines to ingest data into platform from various sources, use tools to automate and orchestrate data pipelines • Develop and implement data processing workflows of cleansing, deduplication, and transformation processes to prepare data for data services • Operate and maintain platform with infrastructure team. • Perform data platform upgrade test including regression test, security test, functional test. • Implement checks and measures to ensure the security, accuracy, completeness, and consistency of data • Set up tools to monitor pipeline performance, data quality, and system health • Diagnose and resolve issues with data pipelines, storage systems, or integrations • Collaborate with stakeholders to define data models and ensure the data meets their needs • Provide technical guidance and data access support to data consumers and addressing technical challenges. • Document data pipelines, architectures, and workflows to ensure clarity and ease of maintenance • Design and maintain data models for reporting and analytics in BI tools • Develop simple dashboard with Power BI Pragmatic, self-driven, and solution-oriented • Comfortable working in ambiguous and evolving environments • Curious, flexible, and eager to learn new technologies • Proactive, self-starting, and able to manage multiple tasks effectively • Strong sense of ownership and accountability • Team-oriented with a collaborative mindset Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Our team is driving the development of next-generation automotive software solutions. You will collaborate with a highly skilled group of engineers to shape industry-leading technologies and contribute to key automotive megatrends. We are looking for a Software Test Engineer/Lead with strong attention to detail and a passion for technology to join our testing team. In this role, you will take ownership of product test solutions toward specific program milestones and deliveries, ensuring our automotive products meet the highest quality, performance, and certification standards. We are looking for someone with: Proven experience as a Test Engineer, ideally within an automotive Verification & Validation (V&V) or test environment. Strong technical background in end-to-end testing methodologies and physical/simulated test setups. Excellent communication and organizational skills, acting as a bridge between technical execution and customer requirements. Familiarity with Agile processes, including defining Acceptance Criteria and Definition of Done. Experience tracking, measuring, and reporting key deliverables, quality improvements, and execution metrics.