Location Estimation Engineer — Sensing & Connectivity

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 150,000 - 278,000; Full time

Benefits offered by this job

Medical and dental coverage

Employee stock programs

Relocation assistance

Job summary

Apple Inc. in Cupertino, CA is seeking a Location Estimation Engineer to research, design, and evolve multi-sensor navigation technologies for next-gen location-aware experiences across Apple devices.

You will apply Bayesian estimation, Kalman filtering, and machine learning concepts to deliver robust positioning solutions for hundreds of millions of users. The role requires strong C++ skills and experience with positioning techniques, inertial navigation, and GPS/GNSS theory.

Qualifications

• Minimum Qualifications: Graduate degree in Engineering, Computer Science or related field or a Bachelor’s 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

Responsibilities

• Research, design, develop, debug, and support location estimation software.
• Collaborate to qualify performance and support commercialization for hundreds of millions of users on multiple hardware families.
• Work with customers of location, internal and external, to maximize impact of the work.

Skills

Bayesian estimation

Kalman filtering

Statistics

C++

OO design patterns

GPS/GNSS theory

Inertial navigation

Machine learning

Positioning techniques

Communication

Education

Graduate degree in Engineering, Computer Science or related field

Bachelor's degree with equivalent experience

Job description

Apple Inc. in Cupertino, CA is seeking a Location Estimation Engineer to research, design, and evolve multi-sensor navigation technologies for next-gen location-aware experiences across Apple devices.

You will apply Bayesian estimation, Kalman filtering, and machine learning concepts to deliver robust positioning solutions for hundreds of millions of users. The role requires strong C++ skills and experience with positioning techniques, inertial navigation, and GPS/GNSS theory.