February 25, 2025

Autonomous Systems Engineer - Incubation

Mid • On-site

$175,800 - $312,200/yr

Cupertino, CA

Summary

Posted:
Role Number:200592374
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 - building of interactive prototypes using state-of-the-art AI technology insights acquired from experimental data The candidate needs to be able to clearly articulate what motivates a particular approach, and its pros and cons as well as risks.

Minimum Qualifications

  • M.S. or Ph.D. in Computer Science, Human-Robot-Interaction (HRI), Human-Computer Interaction, Cognitive Science or equivalent experience.
  • 10+ years experience developing autonomous systems, control and perception models
  • Experience with hardware/software rapid prototyping for HRI applications
  • Experience in using state-of-the-art AI technologies

Preferred Qualifications

  • Experience in programming autonomous camera systems
  • Hands-on experience working with simulators and real-world robots
  • A passion for developing technologies for real-world, large scale impact
  • Strong communication skills
  • Experience in applying machine learning to robotics, including areas such as reinforcement, imitation, and transfer learning
  • Experience in integrating multimodal sensing into planning and control
  • An understanding of decision making modeling frameworks, such as Bayesian Belief Networks, state machines, gating networks, intelligence models, human-AI interaction
  • Proficiency with ML modeling frameworks (PyTorch, Tensorflow, etc.) and ROS

Pay & Benefits

  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.

    Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

    Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.