Systems & Control Intern (6-Months)
Veröffentlicht:
15 Februar 2025Pensum:
10 – 100%Vertragsart:
Festanstellung- Arbeitsort:Zurich
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Job-Zusammenfassung
Unser Performance Engineering-Team optimiert unser Drohnensystem. Nutzen Sie die Chance auf ein dynamisches Arbeitsumfeld!
Aufgaben
- Erweiterung und Verbesserung der Simulationspipeline für Drohnenleistung
- Beitrag zur Entwicklung von Modellen und Analysetools zur Leistungsüberwachung
- Zusammenarbeit mit interdisziplinären Teams zur Prozessoptimierung
Fähigkeiten
- Abschluss in Robotik, Maschinenbau oder Informatik erforderlich
- Praktische Kenntnisse in Python, C++ von Vorteil
- Fähigkeit zur grafischen Darstellung komplexer Daten
Zusammenfassung der Originalanzeige
Ist das hilfreich?
Mission:
Our Performance Engineering team plays a key role in optimizing the performance of our industrial indoor drone system, working across disciplines to enhance scanning efficiency in warehouse environments. By analyzing various system components - such as path planning, charging cycles, and data acquisition - our team identifies opportunities for improvement, helps define development priorities, and drives efforts to increase the rate at which our drones scan inventory.
Your Role:
- Extend and improve our simulation test pipeline for continuous monitoring of the drone performance
- Contribute to the design, implementation, and refinement of modeling, simulation, and data analysis tools that help predict and monitor drone performance
- Identify and implement new features in our simulation software, visualize and analyze the output data, and compare to existing mathematical models
- Collaborate with multidisciplinary engineering teams and challenge existing assumptions and processes
- Gain a deep understanding of complex robotic systems while developing practical skills in data science and software engineering alongside a team of dedicated engineers.
Your Experience:
- Degree (BSc) in robotics, mechanical engineering, computer science, or relevant field
- Strong academic record and demonstrated ability to convert theory into practice
- Practical knowledge of Python (additional plus: knowledge of C++ and experience with Git)
- Deep understanding of system modeling and control is highly desired
- Experience with graphically representing complex data (creating plots, diagrams, schematics, …)
- Fluent in English, both written and spoken
Who You Are:
We are looking for a team player who is also capable of working autonomously, with excellent interpersonal and communication skills. You have analytical thinking, a creative approach to problem-solving, and a desire to understand complex systems. Your working method is structured and results-oriented, and you are curious and eager to leave your comfort zone to learn something new.
Why Verity?
- A great engineering culture, including flat hierarchies, an open-door policy, and a focus on joint responsibility and mutual trust and support
- Working with a skilled, high-achieving, experienced, and fun team—with lots of opportunities to develop your professional career and grow with the company
- Flexibility of a hybrid work environment. You can arrange start and finish times around your life (picking up kids, walking the dog, training for your next marathon at lunch)
- 25 days of annual leave, employee stock ownership plan (conditions apply), variety of pension plans, and relocation packages
- A buddy will support you during your onboarding and first month at Verity.
- Annual team-building events, quarterly and monthly get-togethers, knowledge-sharing talks, game nights, and more
- Welcoming office space complete with friendly team members, free snacks (fresh fruits, coffee, and more!), and fun activities—we’re dog-friendly!
Learn more about who we are, what we do, and how we think at www.verity.net
We strive to create an inclusive environment that empowers our employees. All qualified applications will receive consideration for employment without regard to race, nationality, religion, sexual orientation, gender, age, physical [dis]ability, gender identity or length of time spent unemployed.