SLAM Engineer (m/f)

Rimac Automobili is a technology powerhouse, manufacturing electric hypercars and providing full tech solutions to global automotive manufacturers. Our teams develop and produce both hardware and software solutions for the Concept_One and C_Two as well as numerous public and confidential projects, thus positioning Rimac as a leader in the high-performance electric vehicle industry.

We always wanted to be more than just a place to work. What we do and how all of our team members feel is meaningful to us and we want each to feel like part of a big family.

We are currently expanding our Autonomous Driving Department and are looking for a  SLAM Engineer who is very skilled in Computer Vision, SLAM and C/C++. The main focus of this role will be researching and developing Localization & Mapping technology and testing and validating localization algorithms.

1. Responsibilities

• Contribute to the R&D of the locailization and mapping and/or SLAM
• R&D in ego-localization and mapping
• Test and validate algorithms in simulation and real-car driving

2. Requirements

• Minimum MSc. or Dipl. Eng. in Robotics, Automatics, or related field
• 3+ year industry experience with Robotics, Automatics, Computer Science or similar field
• Strong skills in Computer Vision, SLAM (simultaneous localization and mapping)
• Strong C/C++ skills
• Familiar with Matlab/Simulink and/or Python
• Familiar with Linux environment
• Experience working on robots and/or automotive area
• Strong-problem solving, analytical, team-work, self-motivated
• Excellent oral and written communication skills in English

3. What we offer

• The opportunity to develop world-class solutions with cutting-edge technology, from scratch!
• Family-like and open work environment
• Courageous, curious and entrepreneurial team members to work with
• Competitive compensation package
• Financial support for accommodation and transportation
• Dog-friendly office 

We thank all those who submit applications for this role. Please note that only those candidates who meet the required experience and qualifications will be contacted directly. All of our applicants will be provided with equal opportunities regardless of their age, sex, race, disability, sexual orientation, culture or any other non-work related personal characteristic. All applications will be considered under the terms and conditions of confidentiality in accordance with the regulations of personal data protection.