Cellular 4G/5G Firmware Data Science & Automation Engineer San Diego,California,United States Hardware Do you have a passion for invention and self-challenge? Do you thrive on pushing the limits of what’s considered feasible? As part of a world class modem team, you’ll craft sophisticated innovative embedded firmware that delivers more performance in our products than ever before! You’ll work across fields to transform improved hardware elements into a single, coordinated design. Join us, and you’ll help us innovate new wireless systems technologies that continually outperform the previous iterations. By collaborating with other product development groups across Apple, you’ll push the industry boundaries of what wireless systems can do and improve the product experience for our customers across the world. As a Cellular 4G/5G Firmware Data & Automation Engineer, you will be at the center of the embedded 5G/4G/multimode cellular firmware effort within a silicon design group responsible for crafting and productizing powerful Cellular SoCs. **Description** Data Science and Automation Engineer will be responsible for developing new features to enhance test automation system for improving test efficiency and stability. Furthermore, you will be participating in developing innovative data processing pipeline and demonstrating data science algorithms and machine learning models to parse massive data and logs in a timely manner to automatically solve the issues or provide recommendations for the next step. In addition, you will be closely partnering with FW engineering teams in integrating and deploying models and data processing pipeline as part of entire automation system to deliver analysis results to benefit FW engineers in debugging issues. You will work with an amazing team to brainstorm new insights, and develop models and algorithms to solve complicated problems that have a meaningful impact. **Minimum Qualifications** + Minimum BS and 3+ years proven programming skills using Python, Pandas and other key related tools. + Solid knowledge and experience with relational database (e.g Postgres) and non-relational database (e.g. Mango DB). + Ability to write complex queries with SQL is required. + Solid understanding of data science, machine learning, deep learning (including LLMs) and natural language processing. + Ability to use data science algorithms and machine learning models to solve various kinds of issues. + Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processes. **Key Qualifications** **Preferred Qualifications** + Master’s or Ph.D. degree in machine learning, data science or computer science with 5+ years proven programming skills using standard ML tools such as PyTorch, Tensorflow, and HuggingFace. + Experience in applying analytics and statistical methods to transform data into useful insights and actionable results. + Sophisticated SQL skills with ability to write complex joins and nested queries. + Strong critical thinking and communication skills with the ability and desire to learn and evaluate new technologies. **Education & Experience** **Additional Requirements** **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 $135,400 and $250,600, 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 (https://www.apple.com/careers/us/benefits.html) 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 take affirmative action to ensure 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 Footer** Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . 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 (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . 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 (opens in a new window) 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.