Job Details

Job Information

Neuro R&D Engineer
AWM-8055-Neuro R&D Engineer
5/23/2025
5/28/2025
Negotiable
Permanent

Other Information

www.apple.com
Cambridge, MA, 02238, USA
Cambridge
Massachusetts
United States
02238

Job Description

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Neuro R&D Engineer

Cambridge, Massachusetts, United States

Hardware

Summary

Posted: May 22, 2025

Role Number: 200605806

Imagine what you could do here. At Apple, new insights have a way of becoming extraordinary products, services and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, inquisitive people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries. The passion for innovation that goes into our products also imbues our practices and strengthens our dedication to leave the world better than we found it. Help us deliver the next groundbreaking Apple product. Do you love tackling challenges that the world has not yet solved? As a member of our dynamic group, you’ll have the extraordinary opportunity to craft upcoming products that delight and encourage millions of Apple’s customers every single day.

Apple’s Exploratory Design Group (XDG) has an opening for a creative theoretical neuroscientist with broad interests, some experience, and a yearning to use deep biological insights to produce revolutionary devices and products. Help us envision, design and prototype hardware and algorithms for a new generation of interfaces to engage human nerve signals. Create a new generation of computational systems and applications that exploit the exquisite enhancements and optimizations evolved by nature.

Description

Working with a diverse team of experts across Apple, you’ll use your deep knowledge of neuroscience to help create new sensors, interfaces, networks and computational systems, that reach unprecedented levels of performance, efficiency, integration and human value. Using knowledge, imagination, computational modeling, mathematical analysis and electronic analogs, you’ll help explore new paths and engineer new systems. You’ll need to see the forest for the trees and recognize useful general principles at work in large amounts of biological detail. You will help prototype and characterize these devices and systems. You will have the opportunity to work on existing or emerging projects and propose and pursue new projects. You’ll communicate with colleagues and management through informal discussions, slide presentations, white papers, group meetings, and executive briefings as necessary. You will travel to Cupertino several times per year to meet in-person with the larger team. You’ll help us engage with other neuroscience-related groups at Apple and contribute to their projects when that’s valuable. You’ll have the opportunity to supervise interns if you like and will advise on full-time hiring and project choices. You will almost certainly need to learn new things, and will no doubt teach us new things.

Minimum Qualifications

  • BS in neuroscience, computational neuroscience, neuroengineering, or a related theoretical/quantitative field.

  • Industry or translational research experience.

  • Knowledge of neural tissue at multiple scales, from individual neurons to brain systems.

  • Experience with signal processing, statistics, or computational methods applied to neural data.

Preferred Qualifications

  • PhD in engineering, computational neuroscience, neuroengineering, or a related theoretical/quantitative field.

  • 3+ years of relevant post-PhD experience including exposure to translational research or tech-driven R&D.

  • Deep understanding of neural tissue organization, with particular interest in single-neuron details and small structures.

  • Good knowledge of machine learning and data science, including relevant techniques for time-series, neural signal, or physiological data.

  • Mathematics, physics and chemistry knowledge appropriate for a theoretical or engineering PhD.

  • Engineering-level understanding of signal processing, modeling and data pipelines.

  • Ability to communicate efficiently and productively with technical peers, and effectively with management and experts in other fields.

  • Enthusiasm for learning new fields and taking on new challenges.

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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