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Job Description

Embedded Signal Processing and ML Algorithms Engineer
Sunnyvale, California, United States
Machine Learning and AI
Summary
Posted: Jun 24, 2025
Role Number: 200610540
Join HID sensing and interaction algorithms team that develops advanced sensing algorithms which enable the best-in-the-world user experiences for Mac, iPhone, iPad, ?Pencil, ?Watch, and exciting new products. We are looking for an algorithm engineer who could work well in cross-disciplinary teams over a full product cycle. Our team comes from diverse backgrounds in signal and image processing, statistics, machine learning, controls, physics, firmware and software development, neuroscience, human factors, and more dedicated to inventing new ways of interacting with Apple products and shipping amazing products to millions of users every year. The team operates at the intersection of hardware, software, and design. This means that the wide variety of problems you will solve have many interesting facets and you will get to work with specialists from all across Apple.
Description
We are looking for a Algorithms engineer who can write efficient and scalable C / C++ code to perform signal processing in multiple compute environments. You will work with other algorithm engineers to analyze and validate algorithm prototypes. You will then architect and code the algorithm implementation, often targeting embedded or resource-constrained systems. You will work with system and firmware engineers to integrate your code into the product, but will take special responsibility for the algorithm implementation. You will also help us architect, develop, and optimize data processing and machine learning frameworks.
This is a role where you will design, develop, and support high quality, scalable algorithm implementations and data processing pipelines that enable rapid algorithm development, analysis, and implementation for Apple products.
Minimum Qualifications
BS and a minimum of 3 years relevant industry experience.
Programming skills in C/C++ and Python.
Experience with embedded systems or resource constraint environments for algorithm implementation.
Preferred Qualifications
MS (Phd preferred) with 2+ years of experience in developing, optimizing and implementing complex algorithms.
Experience with object-oriented programming and common design patterns.
Optimizing and implementing complex algorithms on resource constrained platforms with a background in numerical methods and techniques, especially as relates to stability in real-time DSP algorithms.
Knowledge of fundamental DSP concepts such as Adaptive filtering, linear algebra, machine learning or statistics.
Excellent communication, presentation, and documentation skills.
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 $143,100 and $264,200, 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. (https://www.apple.com/careers/us/benefits.html)
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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.
Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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