Are you interested in making the roads safer with proactive safety features and autonomous driving in cars using computer vision and deep learning?
We continue to expand our Ground Truth teams in both Linköping and Stockholm and are looking for senior deep learning engineer with knowledge in camera-lidar based multimodal perception and with a team mindset.
Who we are
Qualcomm Inc. is fully focused on developing vision perception and drive policy software for the next generation advanced driver assistance systems (ADAS) and autonomous driving (AD) in vehicles. The perception functionality will be shipped with the Qualcomm Snap Dragon Ride as part of the Digital Chassis Platforms.
We are situated across three continents, USA, Europe and Asia. In Sweden, we employ more than 500 people in mainly four cities - Linköping, Stockholm, Gothenburg and Lund.
Within our area Ground Truth, we are organized in cross-functional agile teams developing functions both for ground truth generation and in-car perception functions. While each team member contributes with their own skills and experience, the team cooperates to perform all parts of the development lifecycle. In close collaboration with different stakeholders, new software and algorithms are developed to full-fill functional specifications and the definition of done.
Our teams in Sweden, Germany, Romania and US innovate at the frontiers of engineering using technologies such as deep learning, tracking and 3D reconstruction with lidar.
Who are you?
We are looking for innovative and motivated individual with strong background in advanced deep learning architectures for automated driving perception software. You will develop state of the art lidar and lidar-camera fusion deep learning models for complex urban and highway scenarios. You are a senior developer, with work experience, who already know how to take an idea and concept and make it into a real deployable feature with the right quality.
You are used to work in an agile iterative development process with backlogs and sprints, doing continuous refinements, breaking down epics into achievable stories and performing retrospectives to grow and learn both as individual and in a team. You know how to complete and support software releases and can if needed tackle late incoming change requests to reach desired goals.
· PhD degree or equivalent in Engineering, Information Systems, Computer Science, or related field
o PhD topic related with camera/lidar based perception
· Masters with a 5+ years of industrial experience in camera/lidar based perception with deep learning
· Willingness to share competence and know-how within the team
· 5+ years of experience of Python
· Experience in deep learning for lidar perception, camera-lidar sensor fusion for DNN architectures and/or occupancy grid filtering
· Fundamental understanding of classical computer vision, multiview geometry
· Proficient in advanced deep learning architectures transformers, cross-attention, Voxel/BEV grid-based feature representations for point cloud data
· 3+ years of experience of C++
· Experience working with, modifying, and creating advanced algorithms
· Analytical and scientific mindset, with the ability to solve complex problems
· Excellent written and verbal communication skills
· Ability to work in a cross-functional team
· Being a curios team player
· Having an agile mindset
A workplace where you contribute to the development of cutting-edge deep learning technology that aims to enhance road safety and saving lives. Working with us you will contribute with technology and software that will be implemented in automotive giants, e.g. BMW and Renault. Being a small office in a large organization provides the best of both worlds, stability of the large cooperation as well as the possibility to contribute with your unique touch to our local company culture and activities.
With us you will be surrounded by inspiring and sharp colleagues who like what we do and have fun at work. Furthermore, you will have the opportunity to grow and develop yourself and your skills while having the chance to work with something really meaningful. Additionally, Qualcomm supports part-time remote work.
We very much look forward to your application! Even if you plan to relocate or change jobs at a later time, you are welcome to send in your application now.
And since we will have continuous selection, and places can be filled before the last application date, please don’t wait with submitting your application.
Location: Linköping or Stockholm
Employment condition: Permanent, full time
Starting date: According to agreement
Contact information: Fredrik Österberg, Hiring Manager; phone: +46 704 809906, email@example.com
Union representative: We have collective agreements with Sveriges Ingenjörer and Unionen. Our labor unions representatives can be contacted at 0322 – 30 94 00.
Öppen för alla
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