Embedded Software Engineer

About GM is developing the next generation of embedded platform software to deliver state-of-the-art ADAS features to our customers. The Autonomy Interface SW (AIS) team is responsible for building runtime software that enables robust interface contracts, system degradation transitions, and seamless sensing integration with the autonomy stack .

As a Software Engineer you’ll be responsible for designing, documenting, and implementing complex, highly scalable, low-latency software in C++ on Linux-based systems for the AIS team. Your work will be the foundational software which the rest of GM’s AV stack is built upon.    If you are looking to solve one of today’s most complex engineering challenges, see the results of your work in hundreds of self-driving cars, and make a positive impact in the world, join us.   What   you’ll   be doing   ( Responsibilities )   Develop software in C++ to interface the GM autonomy stack with the sensors and custom hardware on the vehicle   Improve and deliver reliable software through requirements generation, continuous integration, automated testing, issue tracking, and code reviews   Collaborate with colleagues across multiple teams and mentor other developers   Deliver complex projects through incremental development   Your Skills & Abilities (Required Qualifications)            2+   years of experience writing production-quality software    Bachelors   Degree in relevant field or relevant work experience.   Experience with C++11 or later    Knowledge of and experience applying software best practices     ​ What Will Give You   A   Competitive Edge (Preferred Qualifications)       4+ years of experience writing production-quality software   Experience developing on and for embedded Linux / POSIX systems    Demonstrated experience building, testing, and shipping production software    Experience with safety critical development (FDA, FAA, Automotive)    Experience with embedded build systems, such as   buildroot   or   yocto .    Experience working with Camera or other sensors like radars\lidars.    Experience with networking    Experience with ROS or other robotics middleware platforms    Experience with other languages: C, Python, Bash, Go    Experience with QNX, VxWorks, or similar.

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington Compensation: The expected base compensation for this role is : $123,200 - $189,100 Actual base compensation within the identified range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays. #LI-EL1 &#xa;&#xa;&#xa;&#xa;This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.&#xa;&#xa;The selected candidate will be required to travel <25% for this role.&#xa;&#xa;This job may be eligible for relocation benefits.&#xa;&#xa; About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us   We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our