Software Development Engineer, Automotive, AWS Industry Products

Software Development Engineer, Automotive, AWS Industry Products

Vacancy expired!

DESCRIPTION

Job summary
Are you inspired to work with a team that launches products with direct and massive impact on Amazon's customers? Are you excited to join one of the newest and most exciting AWS engineering organization?

AWS Industry Products (IP) (#BDSIAIP) is a new AWS engineering organization chartered to build new AWS products by applying Amazon's innovation mechanisms along with AWS digital technologies to real world industry problems. We dive deep with industry leaders to solve problems and unblock industries, enabling them to capitalize on new digital business models. Simply put, our goal is to use the skill and scale of AWS to make the benefits of a connected world achievable for all businesses.

We are looking for Software Development Engineers obsessed with customer success, passionate about simplification and design-thinking and excited to dive deep into the growth opportunity of delivering new product categories to new customer types in an emerging technology space. The position represents a rare opportunity to be a part of a fast-growing business, and help shape the technology and product as we grow.

Industries from automotive to clean energy to manufacturing are the new high tech. Physical operations generate petabytes of data across increasingly dynamic processes and require 1000's of sophisticated multi-variate decisions a second. We believe that democratizing advanced analytics and the IoT technologies that convert physical state to digital measurements, will fuel a new dynamic, diverse manufacturing sector to provide interesting jobs, products and a robust distributed economic engine.

Our technical challenges involve back-end software engineering, edge computing, applied science, and front end development. We need to develop and apply quantitative algorithms (e.g. machine learning, computer vision, network optimization) to make industry process analysis relevant and actionable for operations engineers. We build software and information systems to process massive scale operational data, infer information relationship across complex systems, train decision models and apply them to critical operations at industrial scale. We work very closely with innovative, market leading customers to drive effective digital transformation of entire industries and the supply chains that support them.

As a developer on our team, you'll own code end-to-end from design to development, and work closely with senior technical leaders within the team and across AWS. You'll have a sound understanding of computer science fundamentals and practical industry experience, working across the stack with technology involving modern databases, AI, ML, Big Data and more.

We will consider candidate placement throughout the US in cities such as Seattle, Bay area (San Francisco, Santa Clara, Palo Alto), Austin, Dallas, Arlington, NYC, Philly, Boston, Toronto and others.

Work/Life Balance

• Our team puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren't focused on how many hours you spend at work or online. Instead, we're happy to offer a flexible schedule so you can have a more productive and well-balanced life-both in and outside of work.
• Prior to Covid restrictions, our team was co-located in the office, but we were also flexible when people occasionally needed to work from home. We generally keep core in-office hours from 10am to 4pm. About half of us come in earlier and the other half of us stay later. Once Covid restrictions are lifted, we expect to follow Amazon policy on working from home

Building a High-Performing & Inclusive Team Culture

• You will be attracting & developing a world-class team that welcomes, celebrates, and leverages a diverse set of backgrounds and skillsets to deliver results. Driving results through others is your primary responsibility, and doing so in a way that builds on our inclusive culture is key to our long term success.
• Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

BASIC QUALIFICATIONS

• 1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems.
• 2+ years of non-internship professional software development experience
• Programming experience with at least one software programming language.

• Bachelor's degree in computer science or related technical discipline or industry experience.
• 3+ years of programming experience with at least one modern language such as Java, C, or C# including object-oriented design

PREFERRED QUALIFICATIONS

• Sharp analytical abilities, excellent understanding of resource and design requirements for highly scalable systems.
• Strong background in computer science basics (data structures, algorithms, etc).
• Communication skills for both a technical and business audience.
• Ability to mentor other software developers and to improve development best practices.
• Practical experience with key enabling technologies such as serverless, machine learning, data science or analytics pipelines.
• Entrepreneurial spirit interested in experimentation and testing long held industry assumptions

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.