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Senior Sensor Engineer, Edge Tech

Amazon

Senior Sensor Engineer, Edge Tech

Amazon

Sunnyvale, CA, USA

·

On-site

·

Full-time

·

1mo ago

Compensation

$157,900 - $213,600

Benefits & Perks

Healthcare

401(k)

Equity

Parental Leave

Mental Health

Healthcare

401k

Equity

Parental Leave

Mental Health

Required Skills

Sensor engineering

Hardware design

System-level design

DFx methodology

PCB design review

Data analysis

Schematic capture

Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV and Amazon Echo.
What will you help us create?

Key job responsibilities
In this role you will:

  • Design sensors and sensing features into world-class devices and cutting-edge prototypes.
  • Collaborate with cross-functional engineering teams and stakeholders across the company.
  • Dive into and take ownership to root-cause and resolve critical design and manufacturing issues.
  • Participate in design reviews.
  • Address all aspects of technology readiness, including manufacturability.
  • Work with contract manufacturers to ensure designs can be built at scale and within budget.
  • Contribute to maintaining and updating team processes and good practices.
  • Provide technical leadership through design reviews and mentoring.
  • Establish robust processes and methodologies to deliver technology to products.
  • Contribute to product requirements and specifications definition.
  • Participate in technology and product roadmap creation.
  • Up to 20% travel.

A day in the life
As a Sr. Sensors Engineer, you will engage with an experienced cross-disciplinary staff to conceive and design innovative consumer products. You will work closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and test. You must be responsive, flexible and able to succeed within an open collaborative peer environment. In this role, you will:

  • Work with Sensor Architects to transition Sensor DRI ownership from design to NPI validation phase.
  • Attend cross-functional program meetings and work with cross-functional team (PD/EE/Display/Optics/Operation etc.) on sensor integration and manufacturing g readiness, risks, and mitigations.
  • Review hardware designs (e.g. CAD, schematics, layout, etc.) from partner teams as part of NPI validation process.
  • Run data analysis and make design trade-off decisions as part of NPI validation process.
  • Lead root-cause identification efforts for manufacturing issues and report status to leadership.
  • Work with manufacturing team and contract manufacturers to optimize the build and test processes.
  • Analyze yield and establish test limits.
  • Write design guidelines based on acquired experience and knowledge, that will be used on subsequent projects.
  • Explore new ideas and sensing technologies and contribute to new product exploration and prototyping.
  • Meet with junior engineers to provide guidance and mentorship.
  • Review and update process documentation and methodologies.
  • Support Sensor Architects and program teams with product feature definition and specification.

Basic Qualifications

  • Experience in developing functional specifications, design verification plans and functional test procedures
  • Bachelor's degree in Electrical Engineering or a related field
  • Experience building and evaluating system-level technical design
  • Experience in DFx (cost, test, manufacturing)
  • Experience collaborating with the ECAD/physical board designer and able to review PCB designs with Allegro, CAM350, or equivalent
  • Breadth and depth in at least two sensor fields such as Optical, Inertial, Chemical, Biological, Acoustic
  • 7+ years’ experience as a hardware/sensor engineer on consumer electronics product development
  • Experience with physical characterization of sensors and familiarity with electrical/optical/mechanical testing equipment
  • Experience with quantitative, statistical data analysis SW (JMP, Matlab, Python, Lab View)
  • Experience with schematic capture with tool sets such as OrCAD

Preferred Qualifications

  • Master's degree in electrical engineering, computer engineering, or equivalent
  • Experience working with interdisciplinary teams to execute product design from concept to production
  • Experience with Windows and Linux operating systems
  • Experience in technical document writing using Visio, Word, Excel, or PowerPoint
  • Experience with the project management of technical projects
  • Manufacturing site support experience

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Sunnyvale - 157,900.00 - 213,600.00 USD annually

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About Amazon

Amazon

Amazon

Public

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%

Recommend to a Friend

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

0 reports

$108,330

total / year

Base

$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%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge