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Senior SoC Validation Engineer, Amazon Devices

Amazon

Senior SoC Validation Engineer, Amazon Devices

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

1w ago

Amazon Lab126 is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc. Since then, we have worked to produce best-selling e-readers and tablets, as well as new inventions like Echo line of products, Fire TV and Fire phone. What will you help us create?

Key job responsibilities
As a Senior Validation engineer in Amazon Lab126, you will have a leadership role in defining and delivering validation methodology for pre-silicon; emulation and hardware prototyping platforms, as well as post silicon efforts for custom multi-media So Cs targeted for next-generation Amazon consumer devices. You will engage with the Silicon and System Architecture, Product Planning, and Technology Platform teams to validate hardware and software for these custom So Cs. You will be responsible for understanding the architecture of the So Cs and its software stacks, writing detailed testplans for each of its subsystems, and initially implementing those testplans on emulation and prototyping platforms. You will extend these test suites to validate silicon.

In this role you will:

  • Contribute to building and developing a world-class emulation and validation team
  • Deliver best in class work flows to develop and implement validation strategies for SoC emulation prototyping and post silicon.
  • Attend and run cross-functional engineering meetings
  • Dive into and take ownership of crucial execution issues
  • Build design processes to continuously improve performance and quality
  • Drive analysis to determine performance targets

Basic Qualifications

  • Bachelor's degree in Electrical/Communications Engineering
  • 10+ years in working on emulation/prototyping and validation of ASIC/SoC products
  • Excellent analytical and problem solving skills
  • Expertise in protocols/interfaces such as USB, PCI, I2C, SPI, CSI, DSI, I2S, DDR, Flash etc.
  • Expertise in building robust testplans that ratify system features.
  • Expertise in silicon bring up involving complex SoC products
  • Expertise in Firmware/Linux
  • Understanding of emulation platforms like Zebu/Palladium/Veloce
  • Understanding of prototyping platforms like HAPs/Proteum etc.

Preferred Qualifications

  • Master's degree or Ph.D. degree in Electrical Engineering or related field
  • Experience with multi-media So Cs in any of the following domains: audio, speech, computer vision, machine learning, multi-media.
  • Experience developing methodology for emulation, prototyping, and silicon validations
  • Demonstrated success delivering high quality, innovative products based on rapidly evolving technologies

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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About Amazon

Amazon

Amazon

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Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

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Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

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$108,330

total / year

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$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

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1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

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