Role at a glance
- Job function
-
AI & Data Machine Learning Engineering
- Salary
- Not Disclosed
- Location
- Santa Clara, California, United States
- Experience
- a minimum of 3 years of VLSI industry experience
- Education
- MS
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Role Summary
The Machine Learning Engineer applies AI and machine-learning techniques to circuit-design work within a silicon design group responsible for ASICs. The role develops initiatives and end-to-end solutions that use these techniques in circuit design and related workflows.
What You'll Do
- Apply AI and machine-learning techniques to circuit design analysis, characterization, QA, and silicon debug.
- Explore custom circuit design to identify initiatives for applying AI technologies.
- Define goals and specifications for each initiative.
- Develop solutions from initial ideas through implementation.
- Benchmark outcomes using measurable metrics such as design improvement, efficiency, quality control, and turnaround time.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: MS and a minimum of 3 years of VLSI industry experience.
Preferred
- Basic knowledge of digital circuit behavior, PPA tradeoffs, and timing/power/noise modeling
- Experience of using AI/ML techniques to achieve better PPA of circuit design, higher workflow efficiency, and better quality in deliveries
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Summary
As part of our Digital Design Engineering group, you’ll take imaginative and revolutionary ideas and determine how to turn them into reality! You and your team will apply engineering fundamentals and start from scratch if needed, bringing forward-thinking ideas to the real world. Your efforts will be groundbreaking. You’ll help design the tools that allow us to bring customers experiences they’ve never before envisioned. You will join an exciting silicon design group that is responsible for designing state-of-the-art ASICs. We have an extraordinary opportunity for Machine Learning Engineers!
Description
Imagine yourself at the center of our SOC design effort, collaborating with all fields, getting functional products to millions of customers quickly. You will have the opportunity to integrate and come-up with new insights, as well as work with a team of hardworking engineers. In this critical and high-visible role, there are tremendous opportunities to extend the power of machine-learning technology into circuit domain and bring groundbreaking innovations to the best silicon design team in the world. You will perform the following: - Play a strategic role of applying AI/machine-learning techniques to your (and colleagues’) daily work, including circuit design analysis, characterization, QA, and silicon debug. - Explore areas in custom circuit design and identify initiatives to apply AI technologies. - Define the goal and spec for each initiative. - Provide end-to-end solutions, from ideas to implementation. - Benchmark the return on investment (ROI) with measurable metrics: improved designs, higher efficiency, better quality control, faster turnaround time, etc.
Minimum Qualifications
MS and a minimum of 3 years of VLSI industry experience
Preferred Qualifications
Basic knowledge of digital circuit behavior, PPA tradeoffs, and timing/power/noise modeling
Experience of using AI/ML techniques to achieve better PPA of circuit design, higher workflow efficiency, and better quality in deliveries
Pay & Benefits — Santa Clara, California, United States
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 $150,400 and $225,300, 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.
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.