Would you like to build the future of Automotive Tech?

Are you our new Software Engineer in Computer Vision?

Qualcomm is an American multinational corporation known for their creation of semiconductors, software, and services related to wireless technology. We belong to the Automotive branch who delivers the Snapdragon Digital Chassis. It is a set of cloud-connected platforms for telematics and connectivity, the digital cockpit and driver assistance and autonomy.

We are responsible for developing the vision solutions for the Snapdragon Ride Platform. We have a mix of experience from juniors to co-workers that have worked with vision perception for over a decade, although we have changed mail domains a couple of times – most recently from Arriver.

In Sweden we consist of around 520 colleagues situated in Linköping, Stockholm, Gothenburg, and Lund.

We are Vision Perception

Our Perception Strategy is to develop new solutions for the next generation Advanced Driver Assist Systems (ADAS) and Autonomous Driving (AD) on a global market, and to be the leader in Perception and Driver Policy Software.

At our technical center based in Linköping, we are developing world class vision systems for several customers worldwide.

We offer a workplace where you contribute to the development of cutting-edge technology that aims to enhance road safety through collaborative driving and to facilitate autonomous driving.

We are now in an expansive phase and are looking for Software Engineers with a recent graduation as a Master of Science in machine learning, image- or signal processing, computer science or equivalent area.

We work in cross functional agile teams consisting of 5-8 members developing functions into our Perception Products. While each team member contributes with their own skills and experience, the team cooperates to perform the different steps in development. The teams are responsible for all steps in development, including system work, implementation, and verification.

Our teams innovate at the frontiers of engineering in camera calibration using technologies such as machine learning, tracking and 3D reconstruction.

What you'll do?

You will be part of our development of camera-based safety systems, accelerating the growth in Autonomous Driving.

We are looking for you who have a great interest in Software Development and/or deep learning. We work mainly in C and python.

In your daily work, we work in 2- or 3-week intervals mixing Scrum and/or Kanban during which you will be involved in several of the following tasks:

• Design, training and evaluation of our deep neural networks
• Development of our deep learning framework in python
• Software development for target HW in C
• Development of system and SW tests
• Algorithm development within the area of signal and image processing

You will also

• Lead your own work forward, by exploring new ideas and experiment for the benefit of the product, the team and yourself
• Influencing the product and your work by giving input to the product backlog and by selecting your team's tasks for upcoming sprints
• Develop your and the organization's expertise within a certain technical domain via Communities of Practice

You will be working together with specialists in a variety of technical domains to deliver our most central system functions such as Vehicle, Pedestrian and Cyclist Detection, Lane and Road Boundary Detection, Static objects, Traffic Sign and Traffic Light Detection.

What we offer?

We offer a workplace where you contribute to the development of cutting-edge technology that aims to enhance road safety.

We work in an agile framework inspired by LESS, and our teams are organized in Requirement Areas for different functional domains. We are now hiring in several Requirement Areas developing functions like

• Vehicle, Pedestrian and Cyclist Detection
• Automatic Emergency Braking
• Worldwide Traffic Sign and Traffic Light Detection
• Lane Detection and Road Boundary
• Road Edge Detection
• Lane Departure Warning
• Lane Keep Assist
• Traffic Light Detection
• Free Space Detection

We have the possibility to work when we are at our best with flexible hours and take care of our well-being with generous health and fitness reimbursements, access to an office gym and social activities including 'fika' and After Work.

With us you get inspiring and sharp colleagues who like what we do and have fun at work. You get the chance to work with something meaningful and at the same time develop yourself.

Burning curiosity, passion for excellence and bold honesty represent our guiding principles how to achieve our Purpose: Creating Trust in Mobility.

Our culture embodies respect, openness, and courage. We believe in realizing the full potential of individuals by working in teams consisting of different competences, experiences, and background.

We offer a workplace where you contribute to the development of cutting-edge technology. This, combined with the purpose of our products, aims to enhance road safety and facilitate autonomous driving.

• An important role in one of the most expansive technical fields
• An environment that enables your personal growth and innovative mindset
• A culture that embodies respect, openness, and courage
• A workplace with a passion for delivering on customer promises and excellence in our way of working
• A global environment with colleagues and customers all around the world

Arriver appreciates the value that comes with diverse teams and strives for a good balance between both gender and age as well as ethnicity and cultural diversity.

Location: Linköping

Employment condition: Permanent, full time

Starting date: According to agreement

Contact information: If you have any questions about the position or the recruitment process, please contact one of our Hiring Managers; Anna Jacobsson, [email protected], Magnus Jomander, [email protected] or Emma Jönsson, [email protected].

Union representative: We have collective agreements with the Swedish Association of Graduate Engineers and Unionen. Our labor unions representatives can be contacted at 0322 – 30 94 00.