Expoint - all jobs in one place

המקום בו המומחים והחברות הטובות ביותר נפגשים

Limitless High-tech career opportunities - Expoint

Qualcomm Software Engineer - Qualcomm Linkoping 
Sweden, Linköping 
518781958

11.07.2024

Arriver Software AB

Job Area:

Engineering Group, Engineering Group > Software Engineering

Our Perception organization belong to the Automotive branch delivering the Snapdragon Digital Chassis - a set of cloud-connected platforms for telematics and connectivity, digital cockpit, and driver assistance and autonomy.

Within the Perception tech center in Linköping (formerly Arriver Software AB) we develop world class Computer Vision software stacks 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 more.

Minimum Qualifications:

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

Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.

PhD in Engineering, Information Systems, Computer Science, or related field.

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

· You’ll be part of the Requirement Area Traffic Information, collaborating with skilled developers across various technical domains.

What Sets Us Apart:

· Our 8 teams within the Requirement Area provide a unique blend of extensive experience and expertise.

· We maintain a small business atmosphere while embracing innovation and experimentation.

· At our company, you’ll have the opportunity to work with cutting-edge technology, contribute to product development, and continuously enhance your skills.

What you'll bring As a person we are looking for you who have a drive and “can do”-attitude, as well as the willingness to learn and expand your skillset in new areas. We also believe you are highly motivated and a pragmatic problem solver.

Your Profile:

· Software Development: You have a robust software development background, complemented by expertise in system design and architecture.

· Machine Learning: You bring practical experience in machine learning development, gained from relevant industry contexts.

· Optimization for target runtime: You have experience in optimizing SW and neural networks for target deployment on SoCs.

· Language and Tools: Proficiency in languages and tools for machine learning and SW development, particularly TensorFlow, Python, and C/C++.

Education and Experience:

A Master’s degree in Engineering (D, E, F, Y, or related field).

3 years of experience in software development within the industry.

You are fluent in English and preferably Swedish.

You will be situated in Linköping, Sweden.

What's on Offer:

Apart from working in an open, relaxed and collaborative space, you will enjoy:

  • Salary, stock and performance related bonus

  • 25-30 days vacation

  • Additional 4 Global Well Being Days - dates set by the company

  • ITP pensions for all employees based on CBA requirements

  • Employee stock purchase scheme – opportunity to purchase discounted stock

  • Employee health club reimbursement

  • Employee Assistance Program – counselling, eg. legal & heath advice

  • Education Assistance

  • Relocation support (if needed)

  • Life, Medical, Income and Travel Insurance

*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.

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.