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Sensor Fusion & Planning Expert

Sensor Fusion and Path Planning Expert Fellowship (pro bono) for a Non-Profit Educational Organization building an innovative mobility curriculum

We are an innovative non-profit educational organization seeking motivated and skilled software developers to join us as volunteer program fellows. Fellows are crucial for us in designing and maintaining the first ever mobility software development curriculum that is based on peer-based learning by students instead of teaching.

Research shows that men apply to jobs when they meet an average of 60% of the criteria. Meanwhile, women or people with protected characteristics often only apply if they check every box. So if you feel you could be great for this role but don’t meet every single item on the list, please get in touch either way. We’d love to work out the potential together.

Our new “SEA:ME (Software Engineering in Automotive and Mobility Ecosystems)” curriculum builds on the tested peer-based learning system of the 42 Network - and is the first advanced mobility curriculum that focuses broadly on diverse ecosystems of future (software-driven) mobility. Which include many different types of vehicles, modes, and services. And enable broader access to and choice of mobility for people of all backgrounds and environments. I.e.: We code the future of mobility. And want to include as many experts / practitioners from mobility companies as possible.

Volunteer fellows can also benefit from their participation by becoming part of an expert community, exchanging knowledge, ideas and activities with colleagues from different companies / neighboring work fields - and by sharing in the ideas and innovation coming out of our community of students, experts, and staff. We are specifically building our new curriculum on the basis of a lively community that drives both the successful learning of the students and new ideas and impulses for emerging trends in future mobility.

One of the fellows that we are looking for will have expertise in Sensor Fusion and Path Planning and a passion for learning and sharing their knowledge with others.

Sensor Fusion is a technique used to combine data from multiple sensors to produce more accurate results than could be obtained from a single sensor. Path Planning is the process of generating a safe and efficient path for a robot or autonomous vehicle to follow.

Contribution options:

  • Design, develop and maintain sensor fusion and path planning solutions for various applications
  • Collaborate with cross-functional teams to define, design, and ship new features
  • Implement and maintain algorithms for sensor fusion and path planning
  • Write technical documentation and maintain an organized codebase
  • Share knowledge and mentor others in the field of sensor fusion and path planning

Desired competencies:

  • 5+ years of experience in sensor fusion and path planning development
  • Strong expertise in programming languages such as Python, C++, or others
  • In-depth knowledge of sensor fusion and path planning algorithms and development practices
  • Experience with popular libraries and frameworks for sensor fusion and path planning
  • Knowledge of modern software development tools and practices such as Git, CI/CD, and Agile
  • Excellent communication and teamwork skills
  • Passion for teaching and sharing knowledge

This is an pro bono fellowship position within a non-profit educational organization, providing opportunities for personal skill development and for sharing your knowledge and achievements. For giving back to the broader community of software developers by helping new developers on their learning journey. And for co-driving new ideas and innovations - for a better and more exciting future of mobility - along with other experts and students. If you are an experienced Sensor Fusion and Path Planning Expert seeking to expand your skills and make a positive impact, we want to hear from you.