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Links

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Production experience

• Which statement best describes your experience taking algorithms, ML/CV models, localisation, mapping or similar systems into production?✱

  • I have personally developed components that were deployed and used in a large-scale production environment
  • I have developed components deployed in production, but at a smaller or limited scale
  • I have contributed to a production system, but deployment/productionisation was mainly owned by others
  • I have developed prototypes or systems tested in real-world environments, but not deployed to production
  • My experience is primarily research/academic
  • I do not have relevant production experience
  • Other
• If you have production experience, briefly describe one system you worked on. What problem did it solve, what did you personally design or build, how was it deployed, and what made the system challenging in terms of scale, reliability or performance?

Domain knowledge (ADAS)

• In which of the following domains do you have hands-on professional or research experience? Select all that apply✱

  • Localisation / positioning
  • SLAM
  • Mapping / HD maps
  • Computer vision / 3D vision
  • Autonomous driving / ADAS
  • Robotics
  • Drones / UAVs
  • AR/VR / spatial computing
  • Structure from Motion
  • Sensor fusion
  • Geospatial systems
  • Other spatial AI / physical AI systems
  • Graph Optimization
  • None of the above
• If there is any other field you would like to mention, please add it here:

Graph optimisation experience (ADAS)

• Which statement best describes your hands-on experience with graph/factor-graph optimisation or nonlinear optimisation?✱

  • I have designed and implemented graph/factor-graph optimisation systems for real-world applications
  • I have significantly developed or modified graph/factor-graph optimisation algorithms
  • I have used graph/factor-graph optimisation libraries within a larger system
  • I have worked on related nonlinear optimisation problems, but not specifically factor graphs
  • I have theoretical/academic experience but limited implementation experience
  • I do not have experience in this area
  • Other
• If you selected "Other", please specify:

Optimisation toolkit (ADAS)

• Which of the following have you used hands-on in your work?✱

  • Factor graphs
  • Nonlinear least squares
  • Graph optimisation
  • Matrix reduction / sparse linear algebra
  • GTSAM
  • g2o
  • SLAM
  • Structure from Motion
  • Bundle adjustment
  • Pose/trajectory optimisation
  • None of the above
  • Other
• If you selected "Other", please specify:

Location / Visa / Immigration support - Amsterdam, Netherlands

• Location / Visa / Immigration support✱

  • I am currently based in the Netherlands
  • I am already in the process of relocating to the Netherlands independently
  • I am willing to relocate to the Netherlands and can manage the relocation independently
  • I am planning to relocate to the Netherlands independently, but I would require visa/work permit sponsorship from TomTom
  • I am willing to relocate to the Netherlands, but I would require relocation support from TomTom
  • I am not able or willing to relocate to the Netherlands
  • Other
• Would you require employer support to obtain the right to work in the Netherlands?✱

  • No, I already have the right to work in the Netherlands
  • No, I'm in the process of obtaining the right to work
  • Yes, I am planning to relocate, but I would require employer support for a work visa / sponsorship
  • Yes, I would require both relocation and visa / immigration support
  • I’m not sure and would need to discuss my situation
• If there’s anything else you’d like to share about your location, relocation plans, or visa situation, please feel free to add it here:

Demographic Survey

Why are we collecting this information? We are asking you for the gender you most closely identify with, so that we are able to measure and report on our ongoing Diversity & Inclusion efforts. Providing this information (or not providing it) will not affect your application for employment, or be considered by TomTom as a part of its hiring decision.

• What gender do you most closely identify as?
  • Female
  • Male
  • Non-binary
  • Other
  • Prefer not to say

• • TomTom has my consent to retain my data for the purpose of considering me for employment and for up to 2 years thereafter. I understand I may withdraw my consent at any time.

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