Work arrangement: This role is categorized as hybrid. The successful candidate is expected to report to Warren, Michigan, Austin, Texas, Sunnyvale or Mountain View, CA at least three times per week (or more frequently if dictated by business needs).
About the Role
General Motors is seeking a Staff Software Engineer – Linux Kernel & Camera/Video Pipeline Development to join our growing embedded software team. This role is instrumental in the bring-up of next-generation automotive camera and perception platforms, focusing on Linux kernel development, camera/video pipeline enablement, device driver integration, diagnostics, and real-time system reliability. You will collaborate across hardware, platform software, and perception algorithm teams to enable advanced driver assistance and autonomous features on GM’s software-defined vehicle (SDV) platforms.
What You'll Do:
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Develop and enhance camera drivers on high ended SOC platforms like QCOM chipsets or Nvidia.
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Develop and enhance Linux kernel and device drivers for camera sensors, deserializers/serializers, and video interfaces (e.g., MIPI-CSI, GMSL, I²C, PCIe).
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Lead camera and video pipeline bring-up, including sensor initialization either through proprietary chip provider frameworks or V4L2 integration, image processing path validation, and synchronization with SoC ISPs.
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Optimize end-to-end camera data flow, ensuring low-latency and high-throughput streaming across multiple sensors and ECUs.
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Integrate and debug hardware components such as CSI receivers, deserializers. Good understanding of GMSL and FPDLink technologies.
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Implement and validate diagnostics and health monitoring mechanisms for camera subsystems, enabling predictive fault detection and reporting through UDS/DTC frameworks.
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Support manufacturing and production readiness, including camera calibration, firmware flashing, and functional validation on production lines.
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Collaborate with cross-functional teams (hardware, perception, and system validation) to identify and resolve hardware-software interaction issues.
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Optimize Linux stack video stack to achieve camera boot KPI requirements.
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Writing YOCTO recipes to integrate new components within build system.
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Define and execute OKRs focused on improving camera stack reliability, boot time, and video pipeline stability.
Your Skills & Abilities (Required Qualifications)
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Bachelor’s degree in electrical, Computer Engineering, or related field
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7+ years of experience in embedded Linux kernel and driver development, including camera/video subsystems.
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Deep understanding of QCOM video frameworks and Nvidia video frameworks.
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Deep understanding of Linux kernel internals, V4L2, media controller frameworks, and memory management for video streaming.
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Strong hands-on experience with camera bring-up — MIPI-CSI, deserializers, I²C-based control, and ISP interfacing.
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Experience with BSP and bootloader development (U-Boot) for embedded SoCs.
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Proficiency with hardware communication protocols (I²C, SPI, PCIe, USB, MIPI).
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Knowledge of networked video streaming, Ethernet, and synchronization mechanisms (PTP/gPTP, FSYNC).
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Strong debugging skills using JTAG, GDB, ftrace, perf, kdump, and logic analyzers.
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Familiarity with hardware validation, firmware flashing, and end-of-line testing processes.
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Experience with diagnostics frameworks, DTC reporting, and system health monitoring.
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Proven problem-solving ability to isolate and resolve issues across hardware, firmware, and software boundaries.
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Excellent communication and teamwork skills across hardware and software disciplines.
What Will Give You a Competitive Advantage (Preferred Qualifications)
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Master's degree in computer science or related field
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10+ years of software engineering experience
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Prior experience with camera or video pipeline enablement in automotive or embedded systems.
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Familiarity with TI, Qualcomm, or NVIDIA SoCs and their camera interface subsystems.
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Working knowledge of power management, security frameworks, and real-time optimizations in Linux.
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Contributions to open-source kernel or media subsystems.
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Experience with calibration tools, video encoding pipelines (GStreamer, OMX), and ISP tuning workflows.
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.
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
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