Senior Backend Systems Engineer, Sensing & Connectivity

Here at Apple, we build devices and services that enrich our customers' lives. In the location technologies group, we power navigation, emergency response, fitness, and a rapidly expanding set of indoor and outdoor services across new and existing hardware — spanning the full stack from raw sensors to the application layer. We reach more than a billion people every day, and what we do 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 bring machine learning expertise and strong software engineering craft to bear on some of the hardest sensor data problems in the world. You'll design, build, and maintain high-quality, production-grade software systems — writing well-architected, testable, and performant code that others on your team rely on every day. You'll design and build signal processing pipelines and data infrastructure that ingest and interpret crowdsourced sensor data from hundreds of millions of devices — and apply ML to extract intelligence from those streams at scale. You'll own the full ML lifecycle: from problem formulation and feature engineering on raw sensor data, through model development and experimentation, to building the infrastructure that takes models reliably into production. You'll solve problems ranging from everyday navigation to life-critical emergencies, propose bold ideas, crunch data, leverage modern AI tools, and ship systems that run under demanding real-world efficiency requirements at global scale.

Strong foundation in signal processing theory and its practical application to real-world sensor systems
Hands-on experience with machine learning — including model development, training, evaluation, and production deployment
Strong software engineering fundamentals — writing clean, maintainable, and well-tested code in production environments
Master's or PhD in Electrical Engineering, Computer Science, Machine Learning, or related field, or a Bachelor's degree with demonstrated experience shipping production systems

Demonstrated experience designing signal processing or sensor fusion algorithms in production environments
Demonstrated experience applying ML to sensor data challenges such as classification, regression, anomaly detection, or signal modeling
Experience building and maintaining large-scale data pipelines handling crowdsourced, sensor, or telemetry data
Proficient in Python, Java, or equivalent languages suitable for ML, algorithm, and infrastructure development
Strong communication skills — you can explain complex systems and algorithmic ideas clearly to any audience
Curious and energized by problems that do not have obvious solutions yet

Build the systems and algorithms that power location intelligence for billions of people. Craft the next generation of location-aware
experiences by combining strong software engineering, machine learning, signal processing, and data infrastructure to seamlessly connect
people's digital and physical lives — at a scale few engineers ever get to work with. Are you passionate about writing clean, scalable code
and applying ML to real-world sensor problems in clever ways? Do you love digging into data, building intelligent systems, and proposing
bold ideas — not just implementing them? Do you want your work to have real impact — from someone's daily commute to a life-critical
emergency? If so, we might just be the team for you.

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 $139,500 and $258,100, 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 seek to promote 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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.