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PCIe System Integration Engineer

RoleInfrastructure
LevelMid Level
LocationHaifa, Israel
WorkOn-site
TypeFull-time
Posted2 months ago
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Required skills

Python

AWS

Annapurna Labs is looking for an Experienced System Integration Engineer to help define, shape, and integrate cutting-edge solutions for the next generation of our cloud platforms.

In this role you will set the strategy for the PCIe interface you own, ensure the design worked well and drive complex system debugs involving HW, FW and SW components. You will work in amazingly wide scale and will also provide leadership by driving the teams around you to raise the bar and deliver higher quality product on behalf of Amazon customers. This is a fast-paced, intellectually challenging position, and you will work with thought leaders in multiple areas of technology. You will set high standards for yourself and everyone you work with, and will be constantly looking for ways to improve the performance, quality, cost and reliability of AWS products and services. We are changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.

  • Key job responsibilities
  • Define new products Validation strategy and lead the execution
  • Support ongoing integrations of new products
  • Monitor and raise the operational excellence related to the interface you own.
  • Lead triage, debug and root cause analysis of systems in AWS data centers
  • Cooperate with AWS teams to improve quality and reliability of products operation in the fleet
  • Provide Annapurna Labs’ ASIC design, SW development, QA and architecture teams information and requirements from customers’ fleet operation perspectives and represent the customer voice

Basic Qualifications

  • Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical field
  • 5+ years of experience in hardware design / support / functional integration/ electrical validation, or debug.
  • 5+ years of experience working with complex systems, including software, firmware, and hardware components
  • Deep expertise in PCIe architecture, including SERDES technology and controller design

Preferred Qualifications

  • Large scale data analysis
  • Basic skills in scripting: Python / Bash etc.
  • Experience with server design and compute systems architecture.
  • Experience with operating systems, boot loaders, networking, and remote debugging.

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

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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

$1.5T

Valuation

Reviews

10 reviews

3.4

10 reviews

Work-life balance

2.5

Compensation

4.2

Culture

3.0

Career

3.8

Management

2.7

65%

Recommend to a friend

Pros

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

Cons

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

Salary Ranges

4 data points

L2

L6

L3

L4

L5

L2 · Data Analyst L2

0 reports

$108,330

total per year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview experience

6 interviews

Difficulty

4.0

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 17%

Negative 83%

Interview process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge