Senior Software Engineer -Machine Learning - Qualcomm, Linkoping/Stockholm, Sweden

Company:

Arriver Software AB

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

Are you our new colleague working on Perception Pre-Development?
Arriver™ is a new software unit and brand, fully focused on developing perception, fusion and drive policy software for the next generation cars. It will deliver an open, scalable and flexible architecture solution running on Qualcomm® Snapdragon Ride™ System on a Chip (SoC) platform. Arriver™ has 800 people in five countries – China, Germany, Romania, Sweden, USA  – and builds on more than a decade of experience in active safety software development. The company is wholly owned by Qualcomm.

In Sweden we are situated in Linkoping, Stockholm, Gothenburg and Lund with around 400 colleagues.

We are 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 Senior Machine Learning Engineers in the Computer Vision domain who can strengthen our Perception Pre-Development department.  
The Perception Pre-Development department has focus on concept development including prototyping and demonstrators, technology roadmap for next generation products, technology scouting, and other important topics defining the future of ADAS/AD.
In Pre-Development we work in cross-functional constellations with experts from different areas and disciplines to combine very skilled individuals into strong teams. Constellations are dynamic and changes with the different concepts under development. Timelines are often short due to tough competition in the automotive space, but we love to compete and we love to win.

Minimum Qualifications:

•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.

• 2+ years of experience with Programming Language such as C, C++, Java, Python, etc.

• What you'll do?

  You will be working in the Perception Pre-Development department together with specialists in a variety of technical domains in order to help deliver next generation perception software stacks and perception systems.

  Our software stacks are central in the ADAS/AD system in the vehicle, delivering perception functions like Vehicle, Pedestrian and Cyclist Detection, Lane and Road Boundary Detection, Freespace and Hazard detection, Traffic Sign and Traffic Light Detection, and lots more. On top of this, new concepts are continuously being developed and demonstrated to ensure we are market leaders in the field to attract new and incumbent customers. 
  With us you get inspiring and outstanding colleagues who like what we do and have fun at work. You have the possibility to work when you are at our best with flexible hours in agreement with your colleagues and manager. You get the chance to work with something meaningful and at the same time develop yourself.
  We work in sprints during which you could work in the following areas:
  •    Explore latest machine learning research trends and evaluate methods for our products
  •    Identify new ways to extract relevant data from our large database
  •    Evolve our methods and tool chains for machine learning
  •    Evaluate architectural/algorithmic solutions, when to use machine learning vs classic computer vision
  •    Develop new computer vision features 
  •    Deploy new concepts on target for in-vehicle demo and evaluation purposes 
  •    Participate in the development of fusion algorithms on different levels
  •    Develop product requirements for the next generation perception system
  •    Understand capabilities of different SoC accelerators to select the best system approach 
  The Perception Pre-Development department has both short and long term scope to address challenges in ongoing product development and to explore solutions for the next generation perception stacks.

• Additional Job Description

  Additional Job Description

  What you'll bring:

  As a person we are looking for you who have a high motivation and a “can do”-attitude to strengthen our position in vision perception.
  To succeed in this position, we think you have:
  •    At minimum a Master of Science in Computer science, Artificial Intelligence or equivalent area.
  o    Many of your future colleagues hold a Ph.D.
  •    Strong competence in any of the following areas:
  o    Machine learning
  o    Computer Vision 
  •    Practical experience of machine learning development in relevant fields, from the industry or University research. Automotive experience is beneficial for the position.
  •    Great interest and curiosity in Machine learning and Algorithm development
  •    Outstanding  knowledge in  languages and tools for Machine Learning development, preferably TensorFlow, PyTorch, Python and C/C++ .
  •    Co-ordination and communication skills with special focus on communication with remote global teams
  You are fluent in English.

  What we offer?

  •    We offer a workplace where you contribute to the development of cutting-edge technology that aims to enhance road safety. In more detail, we offer An important role in one of the most expansive technical fields; Autonomous driving
  •    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 
  We have the possibility to work when we are at our best with flexible hours.

  Working on-site 4 days/week on average.

  We 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.

  Qualcomm appreciate the value that comes with diverse teams, and strive for a good balance between both gender and age as well as ethnicity and

  cultural diversity.

*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.