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Research engineer - Odometry and Localization

Location: Budapest, Hungary

Odometry and localization is at the heart of self-driving applications - an accurate understanding of the current position and the movement of a vehicle is one of the most important building blocks in delivering a reliable and highly performant autonomous vehicle. As a Research Engineer in Odometry and Localization, you will take part in prototyping new solutions, porting prototypes as reliable modules into real-time self-driving applications, and improving and benchmarking existing solutions. You will work in different environments like driving on a highway, city or parking lot, and you will see your code running in real cars on multiple continents.

Job Summary

  • Research, develop and implement algorithms for odometry and localization in self-driving cars
  • Develop odometry solutions based on various sensor data
  • Integrate prototype models into real-time self-driving systems

Key Qualifications

  • BS, MS, or PhD in Robotics, Computer Science, Physics, Mathematics or related field
  • Strong C++ programming and software design skills
  • Strong mathematical skills (linear algebra and probability distributions)

Considered as a plus

  • Programming in Python, working in Linux
  • Experience in machine learning and data analysis
  • Experience in robotics, sensor fusion, odometry, control or related fields
  • Experience in developing safety critical, embedded or real-time systems
  • Experience in computer graphics, computer vision, physics simulation or other mathematics-intensive applications

What We Offer

  • Competitive salary, share option and fitness opportunities
  • Work on the hottest applied research problem at one of the fastest growing startups in Europe
  • Develop solutions for the largest car manufacturers and their suppliers in the US, Europe and Asia
  • Test your solution in realistic simulated scenarios and a fleet of cars across multiple continents every day
  • Visit relevant international conferences, submit patents of new solutions
  • We believe: people over process, we are keen to maintain work-life balance


Privacy Policy

Introduction rider on Carrier website of AImotive Ltd.

Dear Applicant,

Thank you for applying and for your interest in our company.

Please read our recruitment data protection notice which aims to ensure that your personal data is processed in accordance with the 2016/679 EU Regulation on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (GDPR) and with the Act CXII of 2011 on the freedom of information.

We would like to inform you that by submitting your CV our company, as a data controller, intends to process your personal data such as your ID-related data, contact information and the personal data mentioned in your CV and in your motivation letter as well as other personal data collected during the recruitment procedure. The purpose of the data processing at-hand is the fair and well-founded assessment of your application. Its legal basis is our company’s legitimate interest to choose the most competent applicants for our open positions to maintain our professional and efficient performance.

We would like to ensure you that all your personal data will be deleted after the open position is filled unless:

- You are chosen for the position. Therefore, our company will conclude an employment contract with you. In his case your personal data will be processed for a different purpose and based on a different legal basis about which you will be informed; or

- In case you are not selected for the position, but you give your explicit and freely given consent to store your personal data for an additional 36 months so that you can be informed of other opening positions, and so that your application can be considered during other evaluations as well. You may give consent for us to store your personal data by ticking the consent box below.

Finally, the Recruitment Data Protection Notice is available at the following link.

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