Compensation: $140,000-160,000/year plus bonus.
Location: Southfield, MI

H-1B visa transfers and TN visa holders can be considered for this opening.
Relocation assistance is available.
This is a direct-hire position, with a full benefit package.

This company, a global leader in automotive safety technology, is building up a new development team
for next generation products. They’re looking for a Principal Software Engineer with a strong background
in embedded development for computer vision systems.

Company Information

This is a globally recognized innovator who works with automotive manufacturers on products critical to
their future development, no matter what direction the overall industry takes. While most automotive tech
companies slash positions, they’ve turned the corner and are building teams to move forward.

Position Description

You’ll be the computer vision expert on a team responsible for developing embedded software for
automotive active safety systems (ADAS). You’ll take projects through the full life-cycle, from concept
to delivery into production. You’ll work globally with product development teams to make sure the final
product hits all marks. The work will be done on an ARM architecture with a focus on image signal
processing.

Responsibilities include:

· Development (design, implement, test and debug) of core and/or application specific software
requirements for automotive embedded electronic module serial production projects
· Developing software to formal ASPICE/Comma-based engineering process.
· Focus on real-time embedded software using C++ for 32/64 bit multicore SoC/microcontrollers.
· Camera image quality tuning for Automotive applications like Internal cabin, external cameras,
Machine Vision, Human Vision, etc.
· Hardware/Software (HW/SW) integration and software configuration management

Qualifications

 Bachelors degree and 10+ years of experience in full life-cycle embedded software development.
 A strong background with computer vision systems including camera drivers, ISP tuning, etc.
 Experience working with ARM architecture (Nvidia, Qualcomm, TI).
 A background in automotive or machine vision technologies (machine learning/ML, ISP, etc.) is
a strong plus.
 System-on-chip (SoC) background is a plus.
 Excellent communication and collaboration skills with global teams.