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Do you want to work with cutting edge technologies within video analytics together with highly skilled colleagues, at a world leading company? Then, take a look at this opportunity!

What will you do?
You will join our Embedded Analytics team at Axis Technologies Department, that is responsible for the foundation for Axis long term technology within video analytics and inference hardware strategy on Edge devices. We deliver new core technology functionality to Axis future analytics applications and solutions.

The position is hands-on in a very skilled and technically strong team that values individual growth, teamwork and great spirit. We work with state-of-the-art methods for video analytics algorithms and SW development within deep learning as well as classical computer vision. You will interact with our ASIC development team, 3rd party vendors of AI accelerators as well as with the receiving product and solution organizations.

The responsibilities of the role include enabling new product features and mastering complex problems especially within the deep learning domain. In this role you will play an important part in optimizing our embedded system performance and you will continue the thrilling development path until we launch new competitive products and solutions. Your main focus will be on algorithms at the research frontline developing production-ready high-quality algorithms for Linux embedded systems and developing Axis AI infrastructure needed for both Axis internal development and external partners.

Who are we looking for?
Now we are looking for an engineer with a genuine interest to work with video analytics algorithms and SW development for both deep learning as well as classical computer vision.

We believe that you are a pragmatic and structured person with an open and curious mindset. You are communicative and enjoy teamwork. You probably have an engineering master's degree in computer science, physics, mathematics engineering or equivalent, with several years of relevant work experience.

The following would also be great merits:

* Software design and architecture experience
* Experience with embedded devices
* Experience with computer vision & deep learning algorithms development and optimization
* Experience in C/C++/Python and an interest to go all the way from algorithms to a product ready implementation
* Test automation and build systems
* As Axis values teamwork it is important that you contribute with good spirit and welcome the different agile working methodologies used in our projects.

What is it like working with us?
Openness might be a buzz word in other companies, but at Axis this is the core of who we are. Our most important asset is our ability to cooperate. We have realized that great ideas can come from anywhere. This is why we encourage everybody to contribute and innovate. If you are a person that likes to get involved and make a difference and nudge the world a little bit in the right direction, you will find a home with us.

We want you to enjoy working with us! Therefore, we offer great benefits, e.g. flexible working hours, classic Swedish fika on Fridays, breakfast every day, corporate bonus, physical training grants, insurances, your very own Axis bicycle and relocation assistance if needed - just to name a few.

What is Axis?
At Axis, great ideas have a way of becoming great products and solutions. We are a fast growing and innovative company with a global footprint. Our success is largely due to our highly skilled colleagues and our strong culture of daring to succeed and allowing ourselves to constantly break new ground. We are proud of our joyful, cooperative working environment, where we work closely with our coworkers and with a dedication to making a difference.

Do you want to join us? Apply today! Contact our recruiting manager Marie Lundin at phone +46 46 272 2344 or Sabina Ahlberg +46 46 272 3736 if you want more information.

Detta är en jobbannons med titeln "Embedded Software Engineer with Deep Learning experience" hos företaget Axis Communications AB och publicerades på webbjobb.io den 3 april 2020 klockan 15:48.

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