Location Estimation Engineer, Sensing & Connectivity

Summary

Develop and improve multi-sensor navigation technology as a location estimation engineer. Craft the next generation of location-aware mobile experiences by working on state-of-the-art technologies to seamlessly integrate people’s digital and physical lives. Are you passionate about building technology that will make a difference? Do you flourish with good creative challenges? Do you love attention to detail? If so, we might just be the team for you.

Description

Here at Apple, we build devices and services that enrich our customers’ lives. In the location technologies group, we help people connect: with each other, and with our planet. We reach more than a billion people. We help them find their way, and we help them find each other. We help them stay healthy, and sometimes we even save their lives. What we do and how we do it makes a difference. Join our team, and we’ll help you do the best work of your life.

If you join our team, you’ll research, design, develop, debug, and support location estimation software. You’ll also collaborate to qualify performance and support commercialization for hundreds of millions of users on multiple hardware families. You’ll work with customers of location, both internal and external, to make best use of your work to support their applications.

Minimum Qualifications

Graduate degree in Engineering, Computer Science or a related field or a Bachelor’s degree with equivalent experience in positioning and Bayesian estimation.
Proficient in Bayesian estimation concepts and Kalman filtering
Proficient in statistics concepts and statistical data analysis
Proficient in C++
Familiar with modern object-oriented programming concepts and design patterns

Preferred Qualifications

Interested in location technologies and eager to experiment with state-of-the-art techniques
Good collaborator and communicator
Proficient in GPS / GNSS / radionavigation theory and technology
Experience with inertial navigation systems, visual localization, or other positioning techniques
Familiarity with machine learning
Comfortable implementing complex mathematical algorithms

Pay & Benefits — Cupertino, California, United States

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 $150,400 and $277,600, 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.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.