MCU Testing Engineer (m/w/d)
Overview
- Added in 30 days
- 68
- At this company, still open
Skills named in this posting
- Python
Mobileye’s Automotive Software development team is looking for SW developers to work on the cutting-edge of technologies bringing to market Mobileye Autosar self driving platforms.
We are looking for experienced MCU test engineer who are passionately motivated by challenges and excel in troubleshooting complex problems.
What will your job look like?
• Develop test script, test execution, test reporting, automated test generation.
• Support setting up test environment, maintenance of test environment.
• Review of the work products (such as requirements test specifications, traceability records etc.).
• Recording of deviations according to problem management.
• Create problem records and supporting the analyzing phase.
• Support deriving the Lessons Learned.
All you need is:
• B.sc in Electrical Engineering, Computer Science or other relevant engineering field.
• Knowledge of test tools and environments (preferably with Vector tools, CANoe, vTESTstudio, …).
• Experience with Python.
• 4+ years of Experience in verification and validation planning and execution.
• Thorough knowledge and experience in testing methodologies.
• Thorough knowledge of testing tools and platforms.
• Ability to review and analyze test incidents.
• Certified Tester Foundation Level.
Nice to have:
• Knowledge on Six Sigma or other Problem-solving methodology.
• Knowledge of functional safety (ISO 26262), Automotive Spice (ISO 15504).
• Experience with CAN, SOME/IP, DoIP.
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
Apply on the employer's site
Original posting: jobs.eu.lever.co
RISC-V ecosystem
Mobileye Vision Technologies Ltd. in the RISC-V ecosystem
RISC-V International: Strategic
Mobileye is an Israeli subsidiary of Intel corporation that develops vision-based self-driving car and advanced driver-assistance systems providing warnings for collision prevention and mitigation.
- Uses RISC-V in automotive silicon: EyeQ Ultra is described as a RISC-V processor targeting Level-4 autonomous driving
- Exhibited in the RISC-V booth at Embedded World 2023
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