High-Performance Computing (HPC) Engineer

New Yesterday

High-Performance Computing (HPC) Engineer
Austin, Texas, United States
Hardware
Summary
Posted: Jul 24, 2025
Weekly Hours: 40
Role Number: 200613813-0157
As a High-Performance Computing (HPC) engineer on Apple’s Hardware Methodologies, Tools, & Solutions (HMTS) Platform team, you will serve as a vital connector between HPC infrastructure, Application development, operations, and Engineers. Your contributions will be key to maintaining the exceptional design environment for hardware engineering, supporting Apple’s commitment to leading innovation in hardware.
Description
In this role, you will be responsible for supporting, testing, and deploying HPC infrastructure products at our operations' core. You will help plan, code, build, test, deploy, operate, and monitor our Infrastructure-as-Code solutions for HPC server infrastructure.
Your responsibilities will include: Demonstrating strong troubleshooting skills by independently identifying and resolving issues. Monitor system performance and availability, and remediate issues as necessary. Develop automation for common development and operational tasks. Maintaining clear, current documentation of system configurations, including creating detailed justifications, training materials for complex topics, status reports, and procedural guides. Collaborate with Application, infrastructure, network, and storage engineering teams to find balanced solutions to engineering problems. Assessing future capacity requirements and evaluating new product features or enhancements.
Minimum Qualifications
A Bachelor’s degree in Computer Science with at least 5 years of relevant experience or equivalent professional background.
Proven experience in an HPC support role in an enterprise environment with 500+ node clusters.
Experience deploying and managing schedulers such as SLURM, LSF, and/or NC.
Deploying and configuring FEA Solvers to run on HPC
Experience with NVIDIA GPU compute.
Strong Linux administration skills.
Experience with InfiniBand—including IBoIP and RDMA
Preferred Qualifications
Experience with multiple flavors of MPI
Experience with machine learning and deep learning concepts, algorithms, and models.
Background in Software Defined Networking and AI/HPC cluster networking.
Familiarity with deep learning frameworks such as PyTorch and TensorFlow.
Experience with automation and configuration management tools like Ansible, Cobbler & Puppet.
Experience developing and securing containerized applications and HPC environments beneficial (e.g., Apptainer).
Experience with virtualization technologies is beneficial
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.
Apply
Location:
Austin, TX, United States
Category:
Computer And Mathematical Occupations

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