Summary
Posted: Nov 1, 2024
Weekly Hours: 40
Role Number:200576643
We live in a world where knowledge of the physical world around us is undeniably critical. We rely on this knowledge to get around, explore, and interact with devices around us. Apple is meeting those needs as robustly and creatively as possible and is interested in people who want to help meet that commitment. The success we strive for will result from very skilled people working in an environment that cultivates creativity, partnership, and thinking of old problems in new ways. If that sounds like the kind of environment you find intriguing, then let’s talk. Our team utilizes radio signals, such as Ultra-Wideband (UWB), to develop features and experiences like AirTag precision finding, Handoff, the Nearby Interaction API, and digital car keys. We are dedicated to innovating and creating new ways for our devices to be spatially aware of each other, enabling more intuitive interactions. We are a dynamic and collaborative group that supports Apple in a hands-on environment across interdisciplinary areas, including UWB, WiFi, Bluetooth localization, inertial fusion, network adjustment, and AI/ML. We are looking for an enthusiastic and creative Estimation Scientist with a computer science, electrical engineering, or geomatics engineering background to help craft the next generation of spatial awareness experiences leveraging Apple’s technologies.
Description
We are looking for a highly motivated and creative estimation scientist who understands location technologies. This position is passionate about developing, prototyping, and flawlessly executing technologies to enable relative location and spatial awareness experiences, including the iPhone, iPad, Watch, Mac, and more. You will work with a fast-growing group of world-class engineers and scientists to tackle some of the most exciting problems in relative location and spatial awareness.
Minimum Qualifications
- Deep theoretical and practical understanding of estimation, especially as it applies to ranging and localization (e.g., least squares, Kalman filter, …)
- Strong background in mathematical fundamentals, including geometry, linear algebra, and statistics.
- Profound understanding of distance/location techniques, e.g., phase estimation, TOA, RTT, AOA, and TDOA.
- Strong software developer and prototyping experience in C++, Matlab/Python.
Preferred Qualifications
- Understanding of Machine Learning/Deep Learning is a plus
- iOS, OS X, application, and/or unix system development a plus
- Passion for learning new skills, techniques, and programming languages/libraries/frameworks.
- Desire to be exposed to all aspects of development: prototyping, planning, designing, productizing, launching, and scaling.
- Thrive in a collaborative environment and communicate effectively.
- Laser-focused on the minor details that are meaningful to our customers.
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 $135,400 and $250,600, 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.
Notes: If you’re interested with the above job, please click button [Apply the job @Company’s site] below to brings you directly to the company’s site.
Job Features
Job Category | Research |
Job Reference ID | 200576643 |
Job Location | San Diego, California, United States |