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Engineering Intern, Vehicle Speech Recognition

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Mercedes-Benz AG

16d ago

  • Internship
    Full-time
    Summer Internship
  • Long Beach
  • Quick Apply

AI generated summary

  • You must be pursuing a degree in engineering, know Python, understand Cloud/networking, use Atlassian's REST API, perform E2E testing, and collaborate in shared environments.
  • You will test vehicle speech recognition features, enhance automated test cases, automate data analysis, identify errors, and track defects, while expanding capabilities to other ECUs.

Requirements

  • Minimum Qualifications:
  • Currently pursuing a bachelor’s or master’s degree in computer, electrical and/or electronics engineering or related fields
  • Knowledge of Python
  • Understanding of Cloud and Networking
  • Experience using the Atlassian’s REST API
  • Experience in performing E2E system testing
  • Ability to work in a collaborative environment such as shared Cloud Drives, Confluence, Jira, Microsoft Teams
  • Highly motivated self-learner to solve real world engineering problems
  • Valid US Driver's License
  • Preferred Qualifications:
  • Experience with Robot framework
  • Familiar with analyzing DLT logs
  • Familiar parsing real time data
  • Benefits/Perks:
  • PTO
  • Sick Time
  • Additional Information:
  • The current hourly rate for this position is as follows and may be modified in the future: $28 (Undergraduate Students)/$32 (Graduate Students)

Responsibilities

  • Job Responsibilities:
  • Support E2E development testing of vehicle speech recognition features on test benches and in vehicles, while also creating and tracking defects within our defect management system.
  • Improve the reliability of current automated test cases and increase the number of automated test cases to consistently guarantee a high-quality customer experience.
  • Automate data analysis, error identification, direct communication with ECUs, and message extraction from specific ECUs, beginning with local real-time DLT parsing and leading up to more complex cloud-based data analysis.
  • Bonus: Expand capabilities to other ECUs to check their status/configurations.

FAQs

What is the duration of the internship?

The internship is scheduled to run for a minimum of 6 months.

How many hours per week will the intern be required to work?

The intern will be required to work 40 hours per week.

Who is the employer for this internship?

The employer for this internship is Mercedes-Benz Research & Development North America, Inc. (MBRDNA).

What are the minimum qualifications required for this position?

The minimum qualifications include currently pursuing a bachelor’s or master’s degree in computer, electrical and/or electronics engineering or related fields, knowledge of Python, understanding of Cloud and Networking, experience using Atlassian’s REST API, experience in performing E2E system testing, ability to work in a collaborative environment, being a highly motivated self-learner, and holding a valid US Driver's License.

Are there any preferred qualifications for this internship?

Yes, preferred qualifications include experience with the Robot framework, familiarity with analyzing DLT logs, and familiarity with parsing real-time data.

What types of projects will the intern work on?

The intern will contribute to the development and testing of Mercedes-Benz’s speech dialogue system, perform hands-on experiments, analyze data, improve automated test cases, and work on a project to improve current voice recognition testing.

What software tools are mentioned that the intern will use?

The intern will use collaborative tools such as Cloud Drives, Confluence, Jira, and Microsoft Teams.

What is the hourly pay for this internship?

The current hourly rate for this position is $28 for undergraduate students and $32 for graduate students.

What benefits are offered to interns?

Benefits include Paid Time Off (PTO) and Sick Time.

Is prior experience required to apply for this internship?

While prior experience is not strictly required, hands-on experience in test automation and familiarity with specific tools and technologies are beneficial.

Mercedes-Benz AG

Automotive
Industry
10,001+
Employees

Mission & Purpose

Mercedes-Benz is a renowned global automotive company that specialises in luxury vehicles, trucks, buses, and mobility services. With a rich heritage spanning over a century, Mercedes-Benz is synonymous with exceptional engineering, innovative design, and a commitment to uncompromising quality. Their extensive product lineup includes a wide range of cars, SUVs, and electric vehicles that embody elegance, performance, and cutting-edge technology. Mercedes-Benz's ultimate mission is to provide customers with unparalleled driving experiences, setting new standards of safety, comfort, and sustainability. With a focus on innovation, craftsmanship, and the pursuit of automotive excellence, Mercedes-Benz continues to shape the future of mobility and lead the industry with their iconic brand and unwavering dedication to customer satisfaction.