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FY26 Summer Intern - Build Tools and Data Solutions for Smarter Vehicles - Linkoping, Sweden

FY26 Summer Intern - Build Tools and Data Solutions for Smarter Vehicles - Linkoping, Sweden
Linkoping, Ostergotland County, Sweden
·
On-site
·
Internship
·
2mo ago
必須スキル
Python
Machine Learning
Company:
Qualcomm Auto Ltd Sweden Filial:
Job Area:
Interns Group, Interns Group > Interim Intern
General Summary:
Summer Internship Projects 2026
Are you a master student in machine learning, image- or signal processing, computer science or related field?
Apply for a summer internship within Advanced Driving Assistance Systems and Automated Driving development at Qualcomm!
We are looking for students who are curious, motivated, and inspired by the idea of combining human and artificial intelligence in next generation vision based perception systems.
What You May Work On:
1.
Data Quality & Validation Tools:
High quality ground truth is essential for developing safe and robust vehicle functions. You will help us improve the tools that validate, compare, and monitor the datasets used throughout development.
You may work on:
- Developing a Ground Truth Differ tool to analyze annotation datasets side-by-side
- Creating a Ground Truth quality report module that summarizes key metrics
- Ranking and grouping differences between dataset versions
- Detecting missing or unexpectedly removed files
- Adding sanity checks for annotation and GT files
- Developing statistics to understand and visualize data distributions
2.
Visualization Tools Using Rerun:
Visualization is a critical part of our development workflow. You will have the work on advanced visualizers for lane and traffic-sign perception functions.
A key part of this work is integrating Rerun, a modern and flexible visualization and debugging tool that helps teams quickly understand complex system behavior.
You will work on porting one or more visualizers to Rerun and investigate the feasibility of using Rerun as a replacement for our current visualization tools.
Student background (Internships):
- Studying your 3rd or 4th year of your M.Sc. program
- Great skills in Python, extra meritorious if you also know Qt, Pandas and Polars
- Experience with Computer Vision and data visualization
- Understanding of the importance of data in an AI powered world
- As a person, you are innovative, solution focused and possess a strong drive
Master Thesis Projects – 2027
We offer a range of thesis topics within cutting edge AI for autonomous driving.
- Unified BEV representation for multi-modal road scene understanding
- 3D perception via graph-based methods
- Deep learning approaches to object target tracking
- Enhanced topology reasoning via topology sequence learning
- Temporal networks for dynamic traffic light classification
Student Background (Thesis)
- 4th year student on a M.Sc. program in Computer Science and Engineering, Applied Physics and Electrical Engineering, Information Technology or related field — preferably with a specialization in machine learning and/or computer vision.
- Good, documented knowledge of deep learning techniques
- Good programming skills in Python
Take the chance to express your interest already now — we will contact you when we begin reviewing thesis applications during autumn 2026.
Employment Conditions
- Type: Fixed-term employment
- Period: Summer 2026 (internships)
- Location: Linköping
- Last application date: March 1st 2026
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.
Applicants: 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 here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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.
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Qualcommについて

Qualcomm
PublicInventing the technologies the world loves.
10,001+
従業員数
San Diego
本社所在地
$136B
企業価値
レビュー
3.7
10件のレビュー
ワークライフバランス
2.8
報酬
3.5
企業文化
3.2
キャリア
3.8
経営陣
2.5
65%
友人に勧める
良い点
Good benefits and compensation
Challenging and interesting work
Great team and colleagues
改善点
Management and leadership issues
Work-life balance concerns
Toxic culture/micromanagement
給与レンジ
21件のデータ
Junior/L3
Junior/L3 · Data Scientist
0件のレポート
$196,000
年収総額
基本給
$150,000
ストック
$33,000
ボーナス
$13,000
$166,600
$225,400
面接体験
9件の面接
難易度
2.6
/ 5
期間
14-28週間
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
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