Autonomous Systems Engineer - Incubation
Apply NowCompany: Apple
Location: Cupertino, CA 95014
Description:
Summary
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring curiosity, passion, and dedication to your job and there's no telling what you could accomplish! Our Camera Incubation team is a multi-disciplinary team responsible for looking down the road and prototyping new experiences, architectures and technologies. We collaborate with design and product teams to bring new features across the Apple product line. Join us to explore together exciting new concept prototypes and see them realized in action!
Description
We are looking for a creative prototyping engineer with excellent practical knowledge in the area of autonomous systems, control and interaction, as well as machine learning tools and architectures. The successful candidate will have experience with perception-based techniques for acquiring multimodal signals, planning and decision-making systems for sense making and control, and in the building of interactive prototypes using state-of-the-art AI technology insights acquired from experimental data, are essential advantages. The candidate needs to be able to clearly articulate what motivates a particular approach, and its pros and cons as well as risks.
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring curiosity, passion, and dedication to your job and there's no telling what you could accomplish! Our Camera Incubation team is a multi-disciplinary team responsible for looking down the road and prototyping new experiences, architectures and technologies. We collaborate with design and product teams to bring new features across the Apple product line. Join us to explore together exciting new concept prototypes and see them realized in action!
Description
We are looking for a creative prototyping engineer with excellent practical knowledge in the area of autonomous systems, control and interaction, as well as machine learning tools and architectures. The successful candidate will have experience with perception-based techniques for acquiring multimodal signals, planning and decision-making systems for sense making and control, and in the building of interactive prototypes using state-of-the-art AI technology insights acquired from experimental data, are essential advantages. The candidate needs to be able to clearly articulate what motivates a particular approach, and its pros and cons as well as risks.