Remote Staff Software Engineer, Automated Driving Platform at General Motors ID-19881
Job Description
This role is based remotely but if you live within a 50-mile radius of [Mountain View, Detroit, Warren, Milford], you are expected to report to that location three times a week, at minimum.
The Role:
At ADAS/AD (Advanced Driver Assistance Systems and Automated Driving) Software Organization within General Motors, we are working on developing cutting-edge ADAS features for next-generation vehicles.
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We are seeking an experienced platform software engineer to design and develop platform software for ADAS embedded platform. Your expertise will help build and integrate scalable, secure, and high-performance platform software including BSP, drivers, libraries, and middleware.
As a Staff Software Engineer, ADAS Platform, you will:
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Embedded Linux Development: Design, configure and optimize Linux/QNX based automotive platform including bootloaders, kernel, and user-space applications.
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Integration and Debugging: Work closely with hardware teams to debug and integrate Linux/QNX with automotive ECUs, ADAS and/or Infotainment systems.
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Automation, DevOps, and CI/CD: Implement continuous integration, build and release and automated testing for automotive software development using Jenkins, Gitlab CI/CD, or Bazel.
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BSP and Board Bringup: Develop and maintain Board Support Packages (BSPs) for ARM, x86, or RISC-V automotive hardware.
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Technical Leadership: Mentor junior engineers and drive best practices for ADAS platform software development and integration.
Additional Job Description
Your Skills & Abilities (Required Qualifications)
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Bachelor’s or master’s degree in computer science, Software, Computer Engineering or equivalent fields.
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10+ years of job-related experience in software development and integration.
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Build Frameworks and automation tools (Bazel preferred) and package management to automate build and delivery processes.
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Strong C++ hands-on experience.
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Hands on experience with Linux or QNX based software systems developing drivers, kernel modules, or user-space applications.
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Experience in DevOps and CI/CD tools and processes
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Experience in software debugging and profiling.
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Strong computer science fundamentals in design, algorithms, and data structures.
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Excellent cross-collaboration and critical problem-solving skills.
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Demonstrated ability to deal with ambiguity while driving timely decision making.
What Will Give You A Competitive Edge (Preferred Qualifications)
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Experience in GitHub, GitHub actions and Docker.
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Contributions to open-source projects or Linux Kernel Development.
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Familiarity with Functional Safety (ISO26262) and Cybersecurity.
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Knowledge of automotive communication and networking protocols (Ethernet, DDS, PCIe, CAN).
Compensation: 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 the California Bay Area.
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The salary range for this role is $186,200 to $285,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
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Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.