VIPAS AB

Systems Engineer

• Design, develop, and integrate embedded software and hardware solutions
• Work across the full lifecycle from requirements and design through implementation, debugging, testing, and deployment
• Design, code, and test embedded applications
• Develop firmware for microcontrollers
• Implement and optimize software for RTOS or bare-metal systems
• Debug and troubleshoot low-level drivers, interrupts, and communication stacks
• Develop and integrate wired and wireless communication protocols
• Work with IoT platforms and edge devices to ensure secure and efficient connectivity
• Collaborate with hardware teams on board bring-up, schematics, and hardware-software integration
• Write and execute unit tests, integration tests, and system validation
• Ensure compliance with relevant embedded and functional-safety standards
• Use version control, CI/CD, build systems, containers, and virtualization
• Translate requirements into embedded solutions
• Collaborate with hardware, software, systems, and QA teams
• Stay updated with embedded systems, tools, and industry standards

Embedded Engineer

AI Engineer

• Design, build, and optimize machine learning and deep learning models
• Implement algorithms for NLP, computer vision, and predictive analytics
• Run experiments, evaluate results, and improve model accuracy and efficiency
• Collect, clean, and prepare data for training and inference
• Transform data science prototypes into production-ready solutions
• Work with databases, APIs, and Big Data platforms to ensure scalable pipelines
• Deploy AI models into AWS, Azure, GCP, or on-premises systems
• Integrate AI solutions into existing products and company platforms
• Monitor, maintain, and continuously improve AI applications
• Collaborate with data scientists, software engineers, and business stakeholders
• Translate business challenges into AI-driven solutions
• Share findings and insights with technical and non-technical teams
• Stay updated on AI research, frameworks, and tools
• Ensure AI applications follow ethical guidelines, data privacy, and regulatory standards

AI Developer

Cloud Engineer

• Design, deploy, and manage solutions on Microsoft Azure
• Implement serverless applications and containerized workloads using Docker and Kubernetes (AKS)
• Optimize workloads for cost, scalability, and performance
• Build and manage cloud infrastructure with Terraform, Bicep, or ARM templates
• Set up CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or GitLab CI
• Automate provisioning, monitoring, and scaling of cloud resources
• Configure monitoring, logging, and alerting with Azure Monitor, Log Analytics, and Application Insights
• Troubleshoot issues and ensure high availability and disaster recovery
• Optimize cloud spend using Azure Cost Management and Advisor
• Implement RBAC, Azure AD, Managed Identities, Key Vault, Defender for Cloud, and Sentinel
• Ensure compliance with ISO 27001, GDPR, HIPAA, and PCI-DSS
• Conduct cloud security reviews and vulnerability assessments
• Work with developers, architects, and business stakeholders
• Translate requirements into secure, scalable Azure architectures
• Stay current with Azure services, best practices, and certifications
• Responsibilities are adjusted for junior, mid-level, and senior experience levels

Azure Cloud Engineer

Human Resources

• Serve as a core member of the Management team in the Large Motors & Generators Division
• Drive HR’s overall contribution to the business
• Work with leaders to understand current and long-term business drivers
• Identify where HR can add value
• Translate business objectives into HR priorities
• Implement HR priorities with managers and the HR team
• Collaborate with Centers of Expertise and global business services
• Drive high performance aligned with global business standards, KPIs, and targets
• Represent HR within the broader business
• Build strong relationships with leaders
• Provide expert guidance on HR matters
• Identify and act on organizational and people capabilities needed for future success
• Use HR analytics to interpret organizational trends and dynamics
• Turn HR insights into actionable strategies
• Lead the HR team

HR Business Partner

Customer Success Manager

• Vidareutveckla och underhålla tillståndssystem baserat på Microsoft Dynamics CRM On-Prem
• Delta i lösnings- och arkitekturdiskussioner
• Bidra i utvecklingen av produktområdet Särskilda Persontransporter
• Samarbeta i ett agilt, tvärfunktionellt team med cirka 10 personer
• Arbeta nära verksamheten för att förstå och realisera behov
• Bidra till teamets kompetensutveckling och gemensamma arbetssätt
• Arbeta med utveckling, arkitektur och lösningsdiskussioner från verksamhetsbehov till färdig implementation
• Förvalta systemlösningar för kollektivtrafiken och tillståndssystemet för Färdtjänsten

Embedded Engineer

AI Developer

Azure Cloud Engineer

HR Business Partner

Senior CRM-utvecklare – Microsoft Dynamics