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Senior Machine Learning Engineer / Senior Applied Scientist, Search & AI

At Apple - Bengaluru

Posted on Oct 19

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Apple

SoC Power Flow Methodology Engineer

Austin, TX$142,300 – $263,300Posted 23 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Are you passionate about crafting solutions to intricate challenges? Join the Low Power group

at Silicon Technologies and contribute to the development of cutting-edge technology and

capabilities for low-power chip design. Your work will fuel Apple's next-generation chips!

Responsible for developing and improving low-power flow algorithms using AI and machine

learning, which significantly impacts the work of many designers involved in mobile system-on-

chips.

Description

In this role, you'll develop innovative automated tools and capabilities for the Silicon

Engineering Power team. Your contributions will enable the creation of chips with

unprecedented power eﬃciency. You'll be involved in the architecture, implementation, and

validation of advanced low-power design and verification workflows. Additionally, you'll shape

low-power strategies for emerging technologies.

Your responsibilities will encompass the development of flows and tools for power analysis,

optimization, and verification, seamlessly integrated into stages such as RTL development/

verification, synthesis, or place-and-route (P&R). You'll actively leverage various AI tools to

innovate new solutions and enhance existing ones. Additionally, you'll collaborate with design

teams to address queries, resolve issues, and ensure the smooth adoption of these

methodologies.

Preferred Qualifications

Solid grasp of VLSI designs and SOC design processes.

Enthusiasm for scripting and leveraging low-power expertise to innovate software solutions.

Enthusiasm for leveraging AI/ML to innovate low-power methodologies and flows.

Experience in flow development and algorithm design using Python/Perl/TCL.

Demonstrated proficiency in contemporary software testing and development methodologies.

Familiarity with low-power principles (e.g., low-power design techniques) is advantageous.

Minimum Qualifications

A minimum of a bachelor's degree in relevant field and a minimum of 3 years of relevant industry experience

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 $142,300 and $263,300, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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