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求人Apple

SoC Machine Learning Design Engineer

Apple

SoC Machine Learning Design Engineer

Apple

Austin, TX

·

On-site

·

Full-time

·

1w ago

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.

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 Py Torch, Tensor Flow, JAX or MLX

Experience with hardware description languages like Verilog, System Verilog 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.

Minimum Qualifications

Minimum of BS + 3 years relevant industry experience.

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 .

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 $147,400 and $272,100, 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 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.

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1

応募クリック数

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模擬応募者数

0

スクラップ

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Appleについて

Apple

Apple

Public

Apple Inc. is an American multinational technology company headquartered in Cupertino, California, in Silicon Valley, best known for its consumer electronics, software and online services.

10,001+

従業員数

Cupertino

本社所在地

$3.5T

企業価値

レビュー

3.9

10件のレビュー

ワークライフバランス

2.5

報酬

4.2

企業文化

3.8

キャリア

3.5

経営陣

3.2

72%

友人に勧める

良い点

Great benefits and compensation

Talented colleagues and supportive teams

Learning opportunities and mentorship

改善点

Work-life balance challenges

High stress and pressure

Fast-paced environment

給与レンジ

11,365件のデータ

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Data Scientist ICT2

0件のレポート

$121,979

年収総額

基本給

-

ストック

-

ボーナス

-

$103,682

$140,276

面接体験

3件の面接

難易度

3.3

/ 5

期間

28-42週間

内定率

33%

体験

ポジティブ 33%

普通 0%

ネガティブ 67%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience