Field Application Engineer
Austin, TX
Product & Project Management – Project / Program Management /
Full time /
On-site
Mobileye is looking for a Field Application Engineer to support various automotive companies (OEMs) in their deployment of Mobileye products.
In this position you will need to on-site at Customer locations.
What will your job look like?
- You will be responsible for debugging issues on base tech both at customer HiLs and vehicles.
- You will need to travel frequently to visit customer sites across USA (Florida, California, Texas) and Manufacturing plant in Mexico.
- You will be at customer site to support flashing Software/Firmware on next generation Mobileye Electronic Control Units.
- You will understand and analyze problems and provide technical solutions where applicable.
- You will get to firsthand experience and be part of building the most challenging and inspiring product in the Automotive domain (full self-driving cars)
All you need is:
- Bachelor’s degree in computer science or equivalent technical field from an accredited institution
- A minimum of 3 years of experience as Field Application Engineer or Resident Engineer or System verification Engineer in automotive industry
- Deep understanding of Embedded systems, debug interfaces like JTAG, UART, ethernet
- Experience in working with external memories eMMC, NOR, SPI
- Knowledge of protocols TFTP, SFTP, SCP, UDS, Over the air updates
- Hands-on experience on using test benches and working Test Vehicles
- Ability to identify, troubleshoot and resolve issues on Base SW
- Knowledge of communication Buses and protocols like CAN, CANFD, ETH, SOMEIP
- Fluent English language and excellent communication skills
- Flexibility to travel on short notice to customer sites.
Preferred Qualifications
- A minimum of 5 years of System/SW/Validation experience in the Automotive industry, ADAS related product preferred.
- Experience in working with Vector debugging tools CANoe, CANanalyzer, etc.
- Advanced System/Software analysis and debug skills on test benches and vehicles
- Ability to identify and analyze HW issues.
- Knowledge of ECU manufacturing and cyber security concepts on an ECU.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
