Embedded Firmware Engineer

  • Goleta, CA
  • Posted 8 hours ago | Updated 8 hours ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)

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

Job Details

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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