Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
Home View All Jobs (2,302,471)

Job Information

Amazon Sr. Embedded Software Development Engineer, Ring in Cambridge, United Kingdom

Description

Ring is looking for a Sr. Embedded Software Engineer to join the team, to support the computer vision machine learning infrastructure that provides smart and rich notifications to Ring customers worldwide.

We're committed to making home and neighborhood security accessible and effective for everyone – while working hard to bring communities together. Since its founding in 2013, Ring has been on a mission to make neighborhoods safer. From the video doorbell to the DIY Ring Alarm system, Ring’s smart home security product line offers users affordable whole-home and neighborhood security.

Key job responsibilities

You will be leading a cross-functional development team, responsible for implementing and improving computer vision algorithms that deliver high-performance detection and classification at exceptionally low power consumption. As a senior member of the team, you will oversee the deployment of software to millions of existing Ring devices, and improve customer experience with cutting-edge SOCs and software techniques in new products.

A day in the life

You will work closely with applied science teams working on computer vision algorithms to help implement on device and deliver exciting features for customers. You will be responsible for leading and delivering on large efforts with other developers and also help establish best practices and improve operational excellence within the team.

We are open to hiring candidates to work out of one of the following locations:

Cambridge, GBR

Basic Qualifications

  • Experience as a mentor, tech lead or leading an engineering team

  • Experience in embedded development in C/C+- Knowledge of ARM CPUs

  • Knowledge of computer science fundamentals in object-oriented design

  • Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

  • Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

  • Experience in professional, non-internship software development

  • Bachelor's degree in computer science or equivalent

  • Experience with the deployment and/or development of Machine Learning and Deep Learning models on Edge

  • Proficient communication and interpersonal skills

  • Proficient data analysis and troubleshooting skills

Preferred Qualifications

  • Master's degree in computer science or equivalent

  • Experience implementing computer vision machine learning algorithms on edge

  • Knowledge of Unix/Linux environments and embedded Linux

  • Experience with software testing (unit, integration, and system testing)

  • Experience with Python and tool creation

  • Experience working with distributed systems or applications

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial +44 800 086 9884 (tel:+448000869884). If calling from Ireland, please dial +353 1800 851 489 (tel:+3531800851489).

DirectEmployers