Automotive Privacy Analyst Intern (IDA:2025-00004) at Continental
Singapore, Southeast, Singapore -
Full Time


Start Date

Immediate

Expiry Date

21 May, 25

Salary

0.0

Posted On

21 Feb, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Your tasks

  • Privacy analysis for Autonomous driving under the context of object detection
  • Security for AI including but not limited to RNN and CNN
  • Hands-on with embedded platform

Your profile

  • C, C++ coding skill
  • Mathematics, AI or Computer science
  • Good communication and presentation
  • Privacy related background is a plus not compulsory

Our offer
Ready to drive with Continental? Take the first step and fill in the online application.
About us
Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2021, Continental generated sales of €33.8 billion and currently employs more than 190,000 people in 58 countries and markets. On October 8, 2021, the company celebrated its 150th anniversary.
The Automotive group sector comprises technologies for passive safety, brake, chassis, motion and motion control systems. Innovative solutions for assisted and automated driving, display and operating technologies, as well as audio and camera solutions for the vehicle interior, are also part of the portfolio, as is intelligent information and communication technology for the mobility services of fleet operators and commercial vehicle manufacturers. Comprehensive activities relating to connectivity technologies, vehicle electronics and high-performance computers round off the range of products and services.

Responsibilities
  • Privacy analysis for Autonomous driving under the context of object detection
  • Security for AI including but not limited to RNN and CNN
  • Hands-on with embedded platfor
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