Job Description

Job Title: Embedded Firmware Engineer

Location: Goleta, CA(Onsite)
Duration/Term: Long Term Contract



Job Summary:

We are seeking a highly skilled Embedded Firmware Engineer to design and optimize firmware for automotive-grade camera and vision systems , with a strong emphasis on ADAS technologies and real-time algorithm integration . The ideal candidate will have extensive hands-on experience with FPGAs, MPSoCs , and SoC-based embedded development for vision-based automotive applications.

Key Responsibilities:

• Design and develop firmware for vision systems and embedded platforms targeting ADAS solutions.
• Develop and validate firmware for Lattice FPGAs and MPSoC platforms (e.g., Xilinx Zynq).
• Port and integrate vision and sensor algorithms into real-time firmware environments.
• Collaborate closely with hardware, software, and algorithm teams for end-to-end system integration .
• Optimize data pipelines and real-time processing for high-speed camera systems.
• Conduct debugging, validation , and documentation in accordance with automotive compliance standards .
• Contribute to the full lifecycle- from prototyping to production -within a multidisciplinary team.

Required Skills & Experience:

• Proven expertise in embedded firmware development for camera or vision-based systems.
• Hands-on experience with Lattice FPGAs (Lattice Diamond, Radiant).
• Strong SoC development experience with platforms like Xilinx Zynq, TI, NXP, or Renesas .
• Proficiency in C/C++ and embedded development toolchains.
• Experience in real-time firmware implementation for vision algorithms.
• Familiarity with ADAS, autonomous systems , and automotive-grade design.
• Deep knowledge of RTOS, memory management , and protocols: SPI, I2C, UART, CAN, Ethernet .

Preferred Qualifications:

• Understanding of ISO 26262 , AUTOSAR , and automotive safety standards.
• Knowledge of GStreamer, OpenCV , and other vision libraries.
• Experience with bootloaders, diagnostics, and OTA updates .
• Exposure to Image Signal Processing (ISP) and sensor calibration/tuning .
• Bachelor's or Master's in Electrical/Computer Engineering or related field.

Key Skills:

Embedded Firmware ADAS Camera/Vision Systems Lattice FPGA SoC Platforms (Zynq, NXP, TI) Real-Time Systems C/C++ RTOS Automotive Safety Algorithm Integration Sensor Interfaces Ethernet/CAN/I2C/SPI

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