ML Infrastructure Software Engineer **Austin, Texas, United States** **Hardware** **Summary** Posted: **Apr 11, 2025** Role Number: **200599490** Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail? As part of our Silicon Technologies group, you’ll help build AI-driven solutions that solve pressing business challenges. You’ll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you’ll be responsible for crafting and building the technology that fuels Apple’s devices. We are looking for an individual who is passionate about joining Apple’s engineering team as an ML Infrastructure Software Engineer to enable the deployment and integration of AI models supporting our domains. **Description** In this highly visible role, your primary responsibilities will include: - Deploying, optimizing, and integrating industry-standard AI models within internal infrastructure to support silicon design workflows. - Collaborating with internal teams to evaluate model needs, define selection and benchmarking standards, and ensure our infrastructure remains state-of-the-art by tracking industry advancements. - Managing pipelines for fine-tuning and model conversion, and implementing monitoring to ensure scalable and efficient model deployment. - Contributing to compute planning and hardware decisions, including evaluating third-party silicon and supporting adoption of internal chip solutions. **Minimum Qualifications** + Experience in Python + Experience with at least one of the following model deployment frameworks: VLLM, Triton, or TensorRT-LLM + Experience scaling and optimizing machine learning models in production environments + Minimum requirement of BS and 10+ years of relevant industry experience **Preferred Qualifications** + Understanding of model optimization techniques (e.g., quantization, pruning, or format conversions) + Familiarity with containerization and orchestration tools such as Docker or Kubernetes + Proven track record of leading complex ML infrastructure projects or cross-functional initiatives from concept to production + Ability to evaluate model choices based on hardware efficiency and constraints + Exposure to performance monitoring and observability systems for ML workloads + Designed and optimized RESTful services 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.