Job Details

Software Development Engineer

Cupertino, California, United States

Software and Services

Summary

Posted: Jun 24, 2025

Weekly Hours: 40

Role Number: 200605520

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Description

APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Perform validation of the operation of ML models on new hardware. Perform tests and benchmarks to determine if the new Machine Learning models run as expected. Analyze and debug any issue discovered during the benchmarks, work with software and/or hardware teams to find and implement a solution. Validate the solutions by re-running the benchmarks, analyzing the results and signing off on them. Optimize ML models for power and performance. Solve technically challenging problems related to performance and power optimization of the Machine Learning models, ranging from partitioning work across heterogeneous compute backends, identifying and addressing common performance bottlenecks and power consumption across models, and using performance and power profiling techniques to identify the most optimum performance and power consumption for AI models. Generate SW Components for testing and implementing AI models on Apple devices. Collaborate with teams in the ML software stack teams to build new features in the ML software and ML compilers for specific backend hardware. Develop performance measurement tools to measure the speed and power efficiency of Machine Learning models on different Apple devices. Fix problems and make enhancements to the internal Web-based tool used for benchmarking different ML models on Apple hardware. 40 hours/week. 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 $175,800 - $264,200/yr and your base pay will depend on your skills, qualifications, experience, and location.

PAY & BENEFITS: 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.

Minimum Qualifications

• Master’s Degree or foreign equivalent in Computer Science, Electrical Engineering, Electronics Engineering or related field and 6 months of experience in the job offered or related occupation.

• Education and/or experience must include:

• Fundamental components and structure of novel Machine Learning models for Vision and Large Language Model applications

• Modern ML frameworks to develop and test ML models, such as PyTorch or CoreML

• Familiarity with computer architecture, processors, GPU’s, FPGA’s, peripheral devices, their interfaces in System on Chip micro-architectures and their performance metrics, including bandwidth, throughput and power consumption

• Using the main hardware components of the modern processing engines for Machine Learning applications, including the processor, GPU, and memory.

• Performing trade-off analysis between power, performance, and latency for different ML models and processors/GPU’s

• Profiling the performance of all layers in a deep Neural Networks to identify performance bottlenecks and need optimization.

• Modern parallel programming paradigms used in ML applications, including CUDA

• Analyzing and fine-tuning of the execution of software tasks on parallel compute engines in hardware, including processors and GPU’s

• Utilizing Python and C/C++ programming languages

• Using operating systems including Linux, and software version control, including Git

Preferred Qualifications

• N/A

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.