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Senior Software Developer - Amazon Robotics , Autonomous Mobility

Amazon

Senior Software Developer - Amazon Robotics , Autonomous Mobility

Amazon

North Reading, MA, USA

·

On-site

·

Full-time

·

3w ago

The Amazon Robotics Autonomous Mobility software team develops the autonomy software that powers Proteus, Amazon’s first fully autonomous warehouse robot. We are looking for a Senior Software Engineer to join our perception and localization team. You will be part of an exceptional group of engineers building the platform and architecture for our onboard mapping, perception, motion planning and control software. In addition, you will collaborate with engineers and scientists across the team to develop and enhance our robotic AI capabilities.

Key job responsibilities
Specific areas of focus may include (but are not limited too):

  • Evaluating and integrating new sensors into the autonomy software stack.
  • Developing sensor fusion techniques for obstacle detection and localization.
  • Developing software for simultaneous localization and mapping (SLAM) shared across a robot fleet.
  • Developing machine-learning capabilities and infrastructure for robotic perception and localization.
  • Optimizing runtime performance of autonomy algorithms by exploiting underlying hardware acceleration capabilities.
  • Building frameworks for large-scale replay and analysis of events in pre-recorded sensor data.
  • Building frameworks to monitor and manage resource utilization on embedded compute platform.
  • Building visualization tools for analyzing and debugging robot behavior.

A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

1. Medical, Dental, and Vision Coverage
2.

Maternity and Parental Leave Options:

3. Paid Time Off (PTO)
4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team
We are a multi-disciplinary team of Applied Scientists and Software Engineers with expertise in Computer Vision, SLAM, motion planning and controls. Our mission is to deliver a robust software solution the utilizes state-of-the-art sensor technologies and algorithms to enable safe and efficient operation of autonomous mobile robots throughout the Amazon fulfillment and transportation network. We take this mission seriously and work hard to achieve it, but we have a lot of fun along the way. After all, what's more fun than building robots?

Basic Qualifications

  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience as a mentor, tech lead or leading an engineering team

Preferred Qualifications

  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent
  • Experience with perception, localization, sensor-fusion, computer-vision, or machine-learning for robotics.
  • Expertise in modern C++ and experience with python.
  • Experience with Robot Operating System (ROS) or similar robotic frameworks.
  • Experience with CUDA or GPU programming.
  • Experience with AWS services and technologies

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

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, MA, North Reading - 168,100.00 - 227,400.00 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

$1.5T

Valuation

Reviews

3.4

10 reviews

Work-life balance

2.3

Compensation

4.2

Culture

3.1

Career

3.8

Management

2.7

65%

Recommend to a friend

Pros

Great benefits and competitive compensation

Learning opportunities and career advancement

Good teamwork and colleagues

Cons

High pressure and long hours

Poor work-life balance

Toxic work culture and high turnover

Salary Ranges

4 data points

L2

L3

L4

L5

L6

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