The Camera Systems Firmware Engineer will be responsible for developing, optimizing, and maintaining camera drivers and embedded software for Nvidia Jetson-based robotic vision systems. This role requires deep expertise in MIPI CSI camera integration, Nvidia Argus APIs, and image processing pipeline optimization, leveraging hardware acceleration for real-time robotic perception. Collaboration with hardware, perception, and robotics teams will be essential to ensure high-performance and low-latency vision processing in autonomous systems.

QUALIFICATIONS

• Extensive experience in developing and shipping optimized, production-grade C++ software for embedded systems.
• Strong expertise in camera driver development and sensor integration on Nvidia Jetson platforms (TX2, Xavier, Orin).
• Hands-on experience with MIPI CSI camera interfaces, including low-level sensor initialization, ISP tuning, and frame processing.
• Deep knowledge of Nvidia Argus libraries, including both legacy and modern implementations, for camera sensor integration and processing.
• Understanding of image signal processing (ISP), exposure control, HDR imaging, sensor calibration, and tuning.

PREFERRED QUALIFICATIONS

• Experience with Nvidia CUDA, TensorRT, or other hardware acceleration frameworks for high-performance vision processing.
• Familiarity with distributed systems or remote services, particularly in multi-sensor or networked robotic applications.
• Knowledge of optical systems and camera hardware, including lens distortion correction, image tuning, and calibration.
• Experience integrating camera systems into SLAM, multi-sensor fusion, or AI-based perception pipelines.
  Salary range is dependent on experience and location.
  Simbe Values: R. E. T. A. I. L.
  Result Driven - We are customer-centric and results-driven. We strive to create immense value for our team, partners, customers, and investors.
  Empathetic - We are sensitive and mindful. We support each other in challenging times, both professionally and personally.
  Transparent - We highly value open communication internally, and with our partners and customers. We are receptive to feedback.
  Agile - We are agile and always eager to learn. We quickly adapt to changes and customer needs.
  Innovative - We are bold and innovative, with an intense focus on product design and user experience.
  Leaders - We strive for excellence. We are accountable, the best at what we do, and leaders in our field

• Develop and maintain camera drivers and middleware for Nvidia Jetson platforms (TX2, Xavier, Orin), ensuring high-throughput, low-latency image acquisition.
• Integrate and optimize MIPI CSI camera interfaces, managing sensor communication, initialization, tuning, and Image Signal Processing (ISP) pipelines.
• Implement and optimize camera pipelines using Nvidia Argus APIs, leveraging both legacy and modern versions for sensor integration and processing.
• Enhance the image processing pipeline by utilizing hardware acceleration (CUDA, TensorRT, or Jetson ISP hardware) for real-time performance improvements.
• Develop real-time post-processing algorithms, handling sensor fusion, exposure correction, noise reduction, and multi-camera synchronization.
• Optimize memory and data handling strategies to process high-bandwidth video streams efficiently on embedded systems.
• Debug and optimize production-grade C++ firmware, applying multi-threading, system profiling, and performance tuning techniques.
• Work with edge AI processing, integrating perception models with GPU acceleration or specialized hardware for intelligent vision on-device.
• Collaborate with hardware engineers to bring up new imaging hardware, debug MIPI CSI interfaces, and fine-tune ISP configurations for various lighting conditions.
• Ensure reliability and robustness through rigorous testing, validation frameworks, and fail-safe mechanisms for camera firmware.