Qualcomm
Senior Software Engineer - Linkoping, Sweden
Qualcomm, San Diego, California, United States, 92189
Company: Qualcomm Auto Ltd Sweden Filial
Job Area: Engineering Group, Engineering Group > Software Engineering
General Summary:
Qualcomm is a multinational corporation known for our creation of semiconductors, software, and services related to wireless technology. The automotive branch of Qualcomm is at the forefront of the intelligent and connected automotive transformation. With our delivery of the Snapdragon Digital Chassis — a set of cloud‑connected platforms for telematics and connectivity, digital cockpit, driver assistance and autonomy — we are continuously gaining momentum with global automakers and Tier 1 suppliers worldwide.
Responsibilities:
Development, evaluation and optimization of machine learning models for object detection — ensuring robust, production‑ready ML solutions for real‑world automotive applications.
Staying up to date with state‑of‑the‑art machine learning techniques for object detection.
Hands‑on work with large‑scale datasets for training, validation, and performance benchmarking.
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 languages such as C, C++, Java, Python, etc.
You profile
Machine Learning: You bring both practical experience and theoretical depth in machine learning. This includes experience from data‑driven development, such as the creation, extension and curation of datasets used for training and validation, as well as model development, tuning, quantization and deployment.
Leadership: You have the ambition to provide technical leadership within your area of expertise and engage others in delivering high‑quality results.
Software Development: You have a robust understanding of software development, including testing practices, code structure and design principles. Additionally, you are familiar with GitHub workflows and general continuous integration processes.
Language and Tools: Proficiency in languages and tools for machine learning and software development, particularly C/C++, Python and ML frameworks such as PyTorch.
Education and experience
Master’s or PhD Degree in Applied Physics and Electrical Engineering, Computer Science and Engineering, Information Technology or related field — preferably with a specialization in machine learning and/or computer vision.
3+ years of Machine Learning development and Software Engineering.
Fluent in English and preferably Swedish.
Located in Linköping, Sweden.
Excited about this role but not sure if you meet 100% of the criteria? We would still like to hear from you and would welcome your application.
*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 is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm’s toll‑free number found. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.
If you would like more information about this role, please contact Qualcomm Careers.
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Responsibilities:
Development, evaluation and optimization of machine learning models for object detection — ensuring robust, production‑ready ML solutions for real‑world automotive applications.
Staying up to date with state‑of‑the‑art machine learning techniques for object detection.
Hands‑on work with large‑scale datasets for training, validation, and performance benchmarking.
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 languages such as C, C++, Java, Python, etc.
You profile
Machine Learning: You bring both practical experience and theoretical depth in machine learning. This includes experience from data‑driven development, such as the creation, extension and curation of datasets used for training and validation, as well as model development, tuning, quantization and deployment.
Leadership: You have the ambition to provide technical leadership within your area of expertise and engage others in delivering high‑quality results.
Software Development: You have a robust understanding of software development, including testing practices, code structure and design principles. Additionally, you are familiar with GitHub workflows and general continuous integration processes.
Language and Tools: Proficiency in languages and tools for machine learning and software development, particularly C/C++, Python and ML frameworks such as PyTorch.
Education and experience
Master’s or PhD Degree in Applied Physics and Electrical Engineering, Computer Science and Engineering, Information Technology or related field — preferably with a specialization in machine learning and/or computer vision.
3+ years of Machine Learning development and Software Engineering.
Fluent in English and preferably Swedish.
Located in Linköping, Sweden.
Excited about this role but not sure if you meet 100% of the criteria? We would still like to hear from you and would welcome your application.
*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 is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm’s toll‑free number found. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.
If you would like more information about this role, please contact Qualcomm Careers.
#J-18808-Ljbffr