How do I apply for the Intern - Algorithm Development for Advanced Driving Systems position at Huawei Austria and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Intern - Algorithm Development for Advanced Driving Systems role?

This position is a not disclosed, structured as a not disclosed role, with an expected duration of 3 months.

What educational background or degree level is required for the Intern - Algorithm Development for Advanced Driving Systems at Huawei Austria?

Candidates are generally expected to be holding or pursuing the following degree levels: Master.

Does Huawei Austria provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Intern - Algorithm Development for Advanced Driving Systems

Huawei Austria

Found 1 month ago

Location

Munich, Germany

Duration (Months)

3 Months

Time

Not disclosed

Work Mode

Not disclosed

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Master

Skills & Qualifications

Technical Skills

Matlab/Simulink
Octave
Python
systems modeling
numerical methods
control theory
linear algebra
ADAS function development

Soft Skills

Hands-on attitude
positive engagement
team spirit
innovative power
exchange of knowledge and experience
Self-responsible work
competent
motivated
growing team

Job Description

Work on cutting edge technology for Advanced Driving Systems, learning from the team how to tackle difficult development challenges in safety-relevant systems Contribute to extensions to AEL vehicle simulation technologies related to safe driving and emergency maneuvers Develop algorithms for the processing of vehicle data and the simulation of safe vehicle behaviors Conduct evaluations of large-scale simulation results

Requirements

Enrolled in MSc. Degree in Electrical Engineering, Mechanical Engineering or in a similar field
Knowledge and proficient skills in model-based design methods and programming languages, e.g. Matlab/Simulink, Octave, Python
Experience in systems modeling, numerical methods, control theory, linear algebra
Experience in ADAS function development is an advantage
Hands-on attitude and positive engagement to integrate into a high-performance team
Proficiency in English. German and/or Chinese knowledge are an advantage

Software Engineering

Software QA & Testing

Languages

English

Nice to Haves

German knowledge
Chinese knowledge

Apply Now

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