TomTom

Full-stack Engineer

• Join a distributed team of software engineers
• Participate in all phases of the project lifecycle
• Build scalable, highly available and resilient applications
• Drive the technical decisions to improve engineering, test, and operational excellence

Software Engineer IV – Fullstack – ADAS

Data Engineer

• Build the infrastructure and tooling required for optimal extraction, transformation and loading of data from a wide variety of data sources using cloud native big data services from AWS/Azure
• Deploy analytics tools that utilize the data pipeline to provide actionable insights into customer usage, operational efficiency and other analytical and business performance metrics
• Work with stakeholders including the business analysts, data scientists to assist with data-related technical issues and support their data (infrastructure) needs and prepare data for modeling and analytics
• Understanding of effective data driven decision making across stakeholders.

Program Manager

• Manage post-sales activities and delivery of customer programs for Automotive and enterprise clients in Japan
• Collaborate with internal teams to ensure product delivery meets and exceeds customer expectations
• Accountable for program delivery within budget while addressing complex customer needs and requirements
• Establish and nurture strong relationships with customers, working closely with account managers to address escalations
• Develop and implement comprehensive project plans, ensuring compliance with budget and quality standards
• Facilitate cross-functional meetings and engage with engineering and product units
• Champion best practices in risk mitigation, stakeholder alignment, and successful program delivery
• Act as a spokesperson for senior stakeholders, promoting a culture of collaboration and customer obsession
• Representing the customer in the TomTom product units and following up on projects critical to the customer

Customer Program Manager

People Operations

• Join our People team to drive AI transformation, process excellence, and responsible innovation in HR.
• Collaborate with IT and external partners to design and implement AI and automation solutions, optimizing processes for efficiency and compliance.
• Lead AI Strategy: Develop and execute AI and automation strategies across HR function.
• Process Optimization: Analyse and optimize existing processes across the People team.
• Evangelize Technology: Increase AI fluency within HR teams through demos and training. Ensure adoption of new processes and tools.
• Identify & Launch Use Cases: Collaborate with the People team to identify valuable AI and automation opportunities. Design and prototype innovative solutions.
• Drive Responsible Adoption: Ensure AI initiatives align with ethical guidelines and global standards. Develop guidelines for ethical technology use.
• Optimize Process Effectiveness: Use data insights to enhance processes. Monitor and evaluate the impact on employee engagement and efficiency.
• Act as a Strategic Connector: Facilitate collaboration between internal IT teams and external partners to ensure successful project delivery.
• UX standards advocacy: Be the People team’s voice for UX quality across HR solutions.

People Automation Specialist

Accountant

• Margin accounting focusing on revenue and cost of goods sold
• Ensure deadlines for month-end close and financial reporting requirements are met and accounting activities follow TomTom policies
• Bill Automotive and Enterprise customers
• Ensure correct IFRS accounting
• Analyze and review balance sheet items (mainly open accruals) and P&L results
• Follow-up on discrepancies with finance BU controllers based on analysis
• Support internal and external audit fieldworks and provide proper documentation
• Participate in ad hoc projects to support management and project teams

Junior Business Accountant

• Join a distributed team of software engineers working on high impact projects within the HD Map division at TomTom
• Participate in all phases of the project lifecycle – gathering requirements, designing solutions, building new interfaces, integration with existing architectures, development, and understanding business impact
• Build scalable, highly available and resilient applications on both the frontend and the backend
• Drive the technical decisions to improve engineering, test, and operational excellence best practices
• Collaborate with applied scientists, engineers, data scientists, and product teams to create and update advanced HD maps in real-time, enabling automakers, transportation companies and major tech customers

Software Engineer III, Fullstack, ADAS

Engineer

• Design and develop algorithms that extract actionable insights from massive, imperfect datasets
• Work with one of the largest traffic data streams worldwide to decode complex datasets and improve mobility systems
• Take ownership of the full lifecycle of software projects, ensuring smooth transitions from research to production-level implementation
• Support and improve production environments to guarantee operational excellence of the systems you build
• Work closely with Software Engineers and Product Managers on the team

Senior Applied Science Engineer

• Work with a team of engineers to develop high-quality software
• Participate to all phases of the project lifecycle – gathering requirements, designing solutions, building new interfaces, integration with existing architectures, development, and testing code
• Build scalable, highly available and resilient applications by utilizing the optimal cloud technologies and programming languages and frameworks that best suit your use cases
• Design technical solutions to solve complex technical problems at scale
• Take ownership of responsibilities and lead changes within the team
• Build iteratively using agile methodologies
• Help out less experienced team members by sharing your knowledge and insights and provide a senior voice. Learn from more experienced colleagues in new domains.
• Collaborate on team projects, but also dive into tasks independently

Senior Software Engineer

• Solve complex problems at scale cross teams, owning the software architecture and technical designs
• Provide technical leadership and expertise, acting as a force multiplier
• Enable your team for success through interaction with the technical community at an organization level
• Drive the technical decisions to improve engineering, test, and operational excellence best practices
• Participate to all phases of the project lifecycle – gathering requirements, designing solutions, building new interfaces, integration with existing architectures, development, and testing code
• Build scalable, highly available and resilient applications by utilizing the optimal cloud technologies and programming languages and frameworks that best suit your use cases
• Support hiring for team vacancies, and investments into team and product health

Staff Engineer I – ADAS

Machine Learning Engineer

• Work directly with Perception Applied Scientists to enable highly efficient training and inference of object detection ML models and advise on frameworks for on-line use.
• Identify, design and implement core components to transition models from offline cloud processing to on-vehicle hardware (e.g., Nvidia Jetson), including model export (ONNX, TensorRT).
• Collaborate with TomTom’s Mobile Mapping group and embedded engineers to ensure smooth execution of perception models in vehicle.
• Drive technical decisions to improve engineering, testing, and operational excellence best practices.
• Develop resilient systems for processing and delivery of data.
• Lead projects within the team and across the organization to ensure successful outcomes.
• Support hiring and investments into team and product health.
• Participate in all phases of the project lifecycle: gathering requirements, designing, coding, testing, and integrating solutions.

Senior Machine Learning Engineer

• Engineer the libraries, development and testing pipelines that directly support the running, measurement and management of algorithms developed by Road Features.
• Work directly with a talented Applied Science (AS) team to integrate Machine Learning (ML), Deep Learning (DL) and traditional algorithms into a common set of interfaces, regression testing and inference pipelines.
• Build highly efficient testing and release processes to ensure reliable, data driven algorithm releases.
• Collaborate and engage across the Organization to ensure algorithm libraries, once released, scale seamlessly in production.
• Drive the technical decisions to improve engineering, test, and operational excellence best practices.
• Develop resilient, scalable systems for the processing and delivery of data.
• Take charge of projects, both within your team and across the organization, to ensure successful outcomes.
• Support hiring for team vacancies, and investments into team and product health.
• Be involved in every phase of the project lifecycle, from gathering requirements to designing, coding, testing, and integrating solutions.

Senior Software Engineer, ADAS

Data Scientist

• Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how users interact with our products.
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
• Inform, influence, and support product decisions and deliveries.
• Product Roadmap; Help Product Management identify and optimize the decision-making process of identifying and classifying requirements/initiatives that have the biggest bang for buck. Help Product Management improve and optimize the impact of concurrent and competing requirements on the road map and existing commitments. Performing “what-if” analysis. Influencing product teams through data-driven recommendations. Spreading best practices to analytics and product teams. Evaluate investments and cost of opportunities
• Product Analytics; Monitoring key product metrics, and understanding root causes of changes in metrics. Building and analyzing dashboards and reports. Building key data sets powering operational and exploratory analysis. Evaluating and defining metrics
• Exploratory Analysis; Understanding ecosystems, user behaviors, and long-term trends. Identifying new points of leverage to influence key metrics. Building models of user behaviors

Associate Data Scientist

IT Support

• What you'll do:
• Independently execute audits across the entire audit process to ensure the delivery of high-quality engagements, covering planning, execution, and reporting, while ensuring consistency and adhering to established procedures and standards
• Build and maintain strong partnerships with key stakeholders, including unit leaders, the Internal Controls team, and external parties
• Contribute to the development of the audit roadmap while supporting the overall strategy and procedures of the Internal Audit function
• Provide guidance and support to finance graduates and guest auditors as needed, facilitating their development and ensuring their effective contributions to the audit process
• Prepare comprehensive reports to be presented to Management, clearly communicating findings and actionable insights that are monitored and followed up on
• Participate and assist, from an Internal Auditor perspective, in high impact corporate projects

Internal Audit Manager

Product Manager

• Define and drive the vision, strategy, and roadmap for Orbis Product Create, ensuring alignment with Maps objectives and Living Maps Strategy
• Engage with Release Operations Managers, Expert Data Producers, and Map Consumers to understand requirements and translate them into product features
• Lead automation and standardization of product configuration, scheduling, and release processes to improve efficiency and predictability
• Collaborate with engineering managers, software engineers, and other product managers to deliver business value
• Own the change management process for product specifications and licensing, ensuring clear communication and documentation of changes and impacts
• Ensure map products comply with licensing standards (e.g., ODbL) and maintain high standards of quality, coverage, and data completeness
• Maintain visibility on market trends, competitor offerings, and customer feedback to inform product direction
• Coordinate with analytics, QA, Map Experts and platform teams to deliver a seamless product experience and support continuous improvement

• Build the infrastructure and tooling required for optimal extraction, transformation, and loading of data from a wide variety of data sources using cloud-native big data services from AWS/Azure
• Deploy analytics tools that utilize the data pipeline to provide actionable insights into customer usage, operational efficiency and other analytical and business performance metrics
• Work with stakeholders including business analysts and data scientists to assist with data-related technical issues and support their data infrastructure needs
• Prepare data for modeling and analytics and enable effective data-driven decision making across stakeholders