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SoC Machine Learning Design Engineer Job Opening In Austin – Now Hiring Apple

SoC Machine Learning Design Engineer

    United States Jobs Expertini Expertini › United States › Jobs › Austin › Other General › Soc Machine Learning Design Engineer

Job description

**Role Number:** 200623433-0157

**Summary**
At Apple we believe our products begin with our people.

By hiring a diverse team, we drive creative thought.

By giving that team everything they need, we drive innovation.

By hiring incredible engineers, we drive precision.

And through our collaborative process, we build memorable experiences for our customers! These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives.

You will become part of a hands-on development team that sets the standard in cultivating excellence, creativity and innovation.

Come help us design the next generation of revolutionary Apple products.

We are looking for a forward-thinking and unusually talented engineer.

As a member of our dynamic group, you will have the rare and rewarding opportunity to craft and implement methodologies and solutions with a high impact on upcoming products that will delight and inspire millions of Apple’s customers every single day.

In this role, you will be directly involved in our SoC design machine learning efforts, collaborating right alongside our internal multi-functional teams, and using your expertise in machine learning to improve productivity and optimizations across several SoC design related functions spanning from design to validation.

**Description**
- As a member of the SoC design machine learning team, you will be part of a dynamic team that is building the most efficient application processors on the planet, powering the next generation of Apple products.
- Your expertise in machine learning will be instrumental in optimizing for efficiency, quality and speed for our chip-design process.
- You’ll play a crucial role in developing generative AI and machine learning solutions for optimizations in RTL Design, Verification, and Power/Performance/Area efforts.
- You will collaborate closely with our internal multi-functional teams as well as the AIML organization at Apple to understand domain-specific needs and tailor machine learning solutions to these domains.
- As part of this role, you will keep abreast of emerging technologies in machine learning and chip design to ensure our solutions remain state-of-the-art.
- Prior leadership experience a plus.

**Minimum Qualifications**

+ Minimum of BS + 10 years relevant industry experience.

**Preferred Qualifications**

+ Practical experience and knowledge of generative AI and modern machine learning methods.
+ Experience with any of the following: RAG systems including embedding models, retrieval strategies, and context optimization techniques.

Generative AI pipeline development.

AI evaluation and testing proficiency including designing test suites and implementing human evaluation frameworks.

Experience with AI coding assistants.

Experience with AI infrastructure protocols such as MCP.
+ Experience with Deep neural networks and reinforcement learning is a plus
+ Solid math background and understanding of algorithms and data structures
+ Experience with current deep learning frameworks, such as PyTorch, TensorFlow, JAX or MLX
+ Experience with hardware description languages like Verilog, SystemVerilog or VHDL.
+ Experience with Chip design and verification front end flows is a plus: Working verification experience with UVM testbenches.

Working experience with front-end tools such as Static timing analysis and CDC/RDC.
+ Strong communication and collaboration skills, with the ability to work efficiently in cross-functional teams
+ Master's or PhD with relevant publications preferred but not required.

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) .


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7. Obeying United States laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Austin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Interview Tips for SoC Machine Learning Design Engineer Job Success

Apple interview tips for SoC Machine Learning Design Engineer

Here are some tips to help you prepare for and ace your SoC Machine Learning Design Engineer job interview:

Before the Interview:

Research: Learn about the Apple's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your SoC Machine Learning Design Engineer interview at Apple, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Apple's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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